Total 215 construction safety health officer job vacancies in Singapore

A Senior/Principal Process Development Engineer is responsible for developing or overseeing the development of chemical processes including low carbon processes as well as monitoring, troubleshooting and optimizing processes in a pilot plant leading up to a technology transfer. He/she will perform process design, engineering and scale-up of in a Low-Carbon Technology Translational Testbed (LCT3) on Jurong Island leading up to a technology transfer. This role requires good understanding and knowledge of the underlying key process/chemical engineering and scientific principles of low carbon technologies and uses computer aided engineering tools such as simulators, process and plant engineering tools for process development and engineering. This individual thinks analytically to solve problems and improve existing methods and processes.

Key Accountabilities

• Responsible for providing scientific and technical direction and/or development, design, and scale up of carbon capture, utilisation and low carbon hydrogen technologies
• Responsible for developing new projects, including timelines, milestones, methodological approaches, expected results and necessary resources.
• Responsible for the executing or planning/directing of laboratory-based or pilot-based experiments to support process development, scale-up campaigns and process optimisation leading up to technology transfer
• Lead or support multi-disciplinary team of scientist and engineers through technical challenges and contribute to the successful completion of projects
• Supervise and mentor junior process development scientists and engineers

JOB REQUIREMENTS

• Doctorate or Master’s degree in Chemical or Mechanical or other related engineering fields.
• Possess at least 10 years of experience in process development and engineering with good knowledge on process control and safety in the process or chemical industry
• Excellent working knowledge on various process technologies, scale-up & scale-down and process intensification methodologies or principles
• Has good working experience with relevant computer aided engineering tools including simulation (eg. Aspen Plus, AVEVA, Gproms etc.), and the use of detailed process models to support process design, scale-up and process optimisation during operations
• Experience in collaborating and has good appreciation with other related disciplines eg. electrical and instrumentation, automation, process safety etc.
• Ability to plan and/or execute experiments at laboratory and pilot scale (scale-up/scale-down) to support process development, troubleshooting and optimisation
• Working experience in a chemical production facility and familiarity with regulations, codes and industry best practices would be a bonus
• Working experience in process/plant engineering tools (eg. AutoCAD process/plant engineering, Aucotec Engineering Base, etc.) would be a bonus
• Possess technical leadership quality to lead team and/or supervise junior engineers
• Possess strong interpersonal, oral and written communication and organization skills
• Self-driven and meticulous individual who has the strong ability to multi-task and has good time management skills to deliver results under tight timelines
• Excellent written and oral communication skills for the timely documentation, presentation, and discussion of results in a fast-paced, multidisciplinary, team-based environment

A Senior/Principal Process Development Engineer is responsible for developing or overseeing the development of chemical processes including low carbon processes as well as monitoring, troubleshooting and optimizing processes in a pilot plant leading up to a technology transfer. He/she will perform process design, engineering and scale-up of in a Low-Carbon Technology Translational Testbed (LCT3) on Jurong Island leading up to a technology transfer. This role requires good understanding and knowledge of the underlying key process/chemical engineering and scientific principles of low carbon technologies and uses computer aided engineering tools such as simulators, process and plant engineering tools for process development and engineering. This individual thinks analytically to solve problems and improve existing methods and processes.

Key Accountabilities

• Responsible for providing scientific and technical direction and/or development, design, and scale up of carbon capture, utilisation and low carbon hydrogen technologies
• Responsible for developing new projects, including timelines, milestones, methodological approaches, expected results and necessary resources.
• Responsible for the executing or planning/directing of laboratory-based or pilot-based experiments to support process development, scale-up campaigns and process optimisation leading up to technology transfer
• Lead or support multi-disciplinary team of scientist and engineers through technical challenges and contribute to the successful completion of projects
• Supervise and mentor junior process development scientists and engineers

JOB REQUIREMENTS

• Doctorate or Master’s degree in Chemical or Mechanical or other related engineering fields.
• Possess at least 10 years of experience in process development and engineering with good knowledge on process control and safety in the process or chemical industry
• Excellent working knowledge on various process technologies, scale-up & scale-down and process intensification methodologies or principles
• Has good working experience with relevant computer aided engineering tools including simulation (eg. Aspen Plus, AVEVA, Gproms etc.), and the use of detailed process models to support process design, scale-up and process optimisation during operations
• Experience in collaborating and has good appreciation with other related disciplines eg. electrical and instrumentation, automation, process safety etc.
• Ability to plan and/or execute experiments at laboratory and pilot scale (scale-up/scale-down) to support process development, troubleshooting and optimisation
• Working experience in a chemical production facility and familiarity with regulations, codes and industry best practices would be a bonus
• Working experience in process/plant engineering tools (eg. AutoCAD process/plant engineering, Aucotec Engineering Base, etc.) would be a bonus
• Possess technical leadership quality to lead team and/or supervise junior engineers
• Possess strong interpersonal, oral and written communication and organization skills
• Self-driven and meticulous individual who has the strong ability to multi-task and has good time management skills to deliver results under tight timelines
• Excellent written and oral communication skills for the timely documentation, presentation, and discussion of results in a fast-paced, multidisciplinary, team-based environment

Job Responsibilities:

• Assist in the execution phase of grant and industry projects, including monitoring project milestones, risks, costs, and schedules.
• Collaborate with various functions within the organization to resolve roadblocks and ensure the programme and projects deliver key outcomes within the allocated time and budget.
• Update and maintain the internal research project database, and external engagement tracking.
• Support the Quantum Programme Office (QPO) in managing and ensuring proper and updated records of project variations, grant proposals, publications, patents, and technology disclosures.
• Administer overseas travel arrangements, including checking travel plans, budgets, and ensuring proper documentation and approval in compliance with existing policies.
• Assist the team in organizing technology road-mapping and scientific workshops/symposiums.
• Assist the QPO team in day-to-day operations and administrative duties.

Job Requirements:

• Degree in Science, Technology, or Engineering.
• Proficiency in relevant software and tools such as MS Excel, MS Project, and PowerBI preferred.
• Strong attention to detail.
• Ability to manage multiple tasks and projects simultaneously.
• Excellent problem-solving, analytical, and systems thinking abilities.
• Resourceful and independent.
• Ability to work collaboratively with internal and external stakeholders.
• Strong written and verbal communication skills.
• Familiarity with quantum technologies and their applications is advantageous.
• Minimum of 5 years of experience working in the public R&D sector

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Job Responsibilities:

• Assist in the execution phase of grant and industry projects, including monitoring project milestones, risks, costs, and schedules.
• Collaborate with various functions within the organization to resolve roadblocks and ensure the programme and projects deliver key outcomes within the allocated time and budget.
• Update and maintain the internal research project database, and external engagement tracking.
• Support the Quantum Programme Office (QPO) in managing and ensuring proper and updated records of project variations, grant proposals, publications, patents, and technology disclosures.
• Administer overseas travel arrangements, including checking travel plans, budgets, and ensuring proper documentation and approval in compliance with existing policies.
• Assist the team in organizing technology road-mapping and scientific workshops/symposiums.
• Assist the QPO team in day-to-day operations and administrative duties.

Job Requirements:

• Degree in Science, Technology, or Engineering.
• Proficiency in relevant software and tools such as MS Excel, MS Project, and PowerBI preferred.
• Strong attention to detail.
• Ability to manage multiple tasks and projects simultaneously.
• Excellent problem-solving, analytical, and systems thinking abilities.
• Resourceful and independent.
• Ability to work collaboratively with internal and external stakeholders.
• Strong written and verbal communication skills.
• Familiarity with quantum technologies and their applications is advantageous.
• 1-2 years of experience working in the public R&D sector preferred

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

The NeuroPhenomics Lab is dedicated to the profound exploration of brain tumor biology, focusing particularly on key driver mutations like IDH1 and IDH2. These mutations significantly contribute to the development of aggressive malignant gliomas by altering chromatin structure and genome methylation, thus influencing tumor evolution. Beyond this, our lab is committed to identifying other genetic alterations with potential clinical relevance.

We are currently seeking a Research Officer who is passionately interested in translational cancer research. The ideal candidate should have a robust background in biochemistry, with a preference for experience in protein engineering and antibody work.

Job Requirements:

• A Bachelor"s or Master"s degree in Biology, Biochemistry, or Biochemical Engineering.
• In-depth knowledge of PCR and molecular cloning.
• Experience with proteins and antibody engineering is preferred.
• Proficiency in wet lab techniques.
• Strong teamwork abilities; leadership experience is highly desirable.
• Ability to work independently with a proactive approach.
• A positive and eager attitude toward learning, coupled with responsibility and excellent organizational skills.
• Advanced skills in critical thinking, communication, and building interpersonal relationships.

Computational Systems Biology deals with mathematical formulation adopted on a computational platform to analyse experimental biological datasets. Here, the candidate with work with multidisciplinary team members to develop a computational model of a microbial system under variable experimental conditions.

The highly motivated and experienced candidate will drive a project in optimizing sustainable food production through a microbial chasis. The candidate will have an opportunity to learn and innovate on deep learning -based flux analysis.

Responsibilities:

• Set up computational pipeline, code in python, and conduct relevant bioinformatics analysis
• Communicate progress, research findings, and implications to stakeholders
• Draft documentation, manuscripts, and slides

Requirements:

• Bachelor or Master in Bioinformatics, Computer Biology, Molecular Biology, or related field.
• Experience in preprocessing and analyzing RNASeq and/or meta-transcriptomics data
• Coding or scripting experience in any language
• Be a self-starter, detailed orientated, and with a growth mindset
• Proficient in python programming and the usage of its interactive notebook
• Have experience in applying flux balance analysis
• Have interest in, or a basic understanding of microbial biology
• Have an interest in post-graduate studies

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Research Officer positions are available soon in the Computational Digital Pathology Lab (CDPL) at the Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore. The AI-based Digital Pathology (AIDP) Program aims to develop and validate advanced AI solutions, image processing, computer vision, and mathematical modelling for the pathological diagnosis and prognosis of cancer using digitized pathology slides, including both biopsy and whole standard slides.

The innovative AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and solve the global shortage of pathologists and increasing cancer cases with cutting-edge AI technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial intelligence systems that accurately diagnoses cancer and other diseases from digital pathology images. By leveraging state-of-the-art AI technology and advanced methodologies, we strive to achieve breakthroughs that will revolutionize the way pathologists diagnose diseases, such as Lymphoma, Gastric, Colorectal and Breast cancers, ultimately improving patient outcomes and healthcare efficiency. This program is supported by national funding and led by esteemed institutions/hospitals and cross-disciplinary leaders in the field, providing an unparalleled opportunity for professional growth and collaboration with top-tier experts.

We are seeking passionate, talented individuals to join our dynamic team. If you are driven by curiosity and have a desire to be at the forefront of AI medical innovation, this is the perfect opportunity for you. As a member of our team, you will work in a stimulating environment where creativity and initiative are highly valued. You will have access to state-of-the-art facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately leading to better patient care and improving the life quality of humankinds. We are looking for candidates who are not only skilled but also enthusiastic about making a difference. Join us in this exciting journey and be a part of something truly extraordinary! For a research overview of our lab, please refer to https://www.a-star.edu.sg/bii/research/ciid/cdpl

Specific Technical Requirements:

• Proficiency in one or more programming languages: Matlab, C/C++, Java, or Python, etc.
• Extensive knowledge, experience, and expertise in artificial intelligence, machine learning, pattern recognition, and digital image processing techniques.
• Practical coding skills in implementing numerical computational algorithms.
• Strong analytical and logical thinking skills to address and solve complex scientific problems.
• Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Basic knowledge of cell biology or pathology is an added advantage.
• Ability to learn quickly and integrate knowledge across multiple disciplines.
• Experience or willingness to engage in collaborations with hospitals and clinical settings.
• Capability to present research findings effectively at both internal and external seminars and conferences.
• Strong writing skills for both technical reports and scientific papers.

General Requirements:

• Highly motivated researcher with an bachelor or master degree, eager to pursue a scientific career, particularly with a passion for artificial intelligence, machine vision, computer vision and biological image processing projects.
• Independent thinker with a strong passion for advancing the field of AI and biological image processing in clinical diagnosis.
• Excellent team player capable of conducting independent research under the guidance of the Principal Investigator (PI) and collaborating effectively with lab members.
• Solid general knowledge and understanding of scientific and engineering principles.
• Exceptional scientific and technical writing skills, coupled with outstanding communication abilities.
• Previous experience in medical image analysis projects, whether in an industrial or academic setting, is a plus but not mandatory.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Research Officer positions are available soon in the Computational Digital Pathology Lab (CDPL) at the Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore. The AI-based Digital Pathology (AIDP) Program aims to develop and validate advanced AI solutions, image processing, computer vision, and mathematical modelling for the pathological diagnosis and prognosis of cancer using digitized pathology slides, including both biopsy and whole standard slides.

The innovative AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and solve the global shortage of pathologists and increasing cancer cases with cutting-edge AI technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial intelligence systems that accurately diagnoses cancer and other diseases from digital pathology images. By leveraging state-of-the-art AI technology and advanced methodologies, we strive to achieve breakthroughs that will revolutionize the way pathologists diagnose diseases, such as Lymphoma, Gastric, Colorectal and Breast cancers, ultimately improving patient outcomes and healthcare efficiency. This program is supported by national funding and led by esteemed institutions/hospitals and cross-disciplinary leaders in the field, providing an unparalleled opportunity for professional growth and collaboration with top-tier experts.

We are seeking passionate, talented individuals to join our dynamic team. If you are driven by curiosity and have a desire to be at the forefront of AI medical innovation, this is the perfect opportunity for you. As a member of our team, you will work in a stimulating environment where creativity and initiative are highly valued. You will have access to state-of-the-art facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately leading to better patient care and improving the life quality of humankinds. We are looking for candidates who are not only skilled but also enthusiastic about making a difference. Join us in this exciting journey and be a part of something truly extraordinary! For a research overview of our lab, please refer to https://www.a-star.edu.sg/bii/research/ciid/cdpl

Specific Technical Requirements:

• Proficiency in one or more programming languages: Matlab, C/C++, Java, or Python, etc.
• Extensive knowledge, experience, and expertise in artificial intelligence, machine learning, pattern recognition, and digital image processing techniques.
• Practical coding skills in implementing numerical computational algorithms.
• Strong analytical and logical thinking skills to address and solve complex scientific problems.
• Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Basic knowledge of cell biology or pathology is an added advantage.
• Ability to learn quickly and integrate knowledge across multiple disciplines.
• Experience or willingness to engage in collaborations with hospitals and clinical settings.
• Capability to present research findings effectively at both internal and external seminars and conferences.
• Strong writing skills for both technical reports and scientific papers.

General Requirements:

• Highly motivated researcher with an bachelor or master degree, eager to pursue a scientific career, particularly with a passion for artificial intelligence, machine vision, computer vision and biological image processing projects.
• Independent thinker with a strong passion for advancing the field of AI and biological image processing in clinical diagnosis.
• Excellent team player capable of conducting independent research under the guidance of the Principal Investigator (PI) and collaborating effectively with lab members.
• Solid general knowledge and understanding of scientific and engineering principles.
• Exceptional scientific and technical writing skills, coupled with outstanding communication abilities.
• Previous experience in medical image analysis projects, whether in an industrial or academic setting, is a plus but not mandatory.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

A Progamme Manager (PM) (Objective and Key Results Officer) position is available in the Computational Digital Pathology Lab (CDPL) at the Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore. The AI-based Digital Pathology (AIDP) Program aims to develop and validate advanced AI and machine learning solutions, image processing, computer vision, and mathematical modelling for the pathological diagnosis and prognosis of cancer using digitized pathology slides, including both biopsy and whole standard slides.

The innovative AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and solve the global shortage of pathologists and increasing cancer cases with cutting-edge AI technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial intelligence systems that accurately diagnoses cancer and other diseases from digital pathology images. By leveraging state-of-the-art AI technology and advanced methodologies, we strive to achieve breakthroughs that will revolutionize the way pathologists diagnose diseases, such as Lymphoma, Gastric, Colorectal and Breast cancers, ultimately improving patient outcomes and healthcare efficiency. This program is supported by national funding and led by esteemed institutions/hospitals and cross-disciplinary leaders in the field, providing an unparalleled opportunity for professional growth and collaboration with top-tier experts.

We are seeking passionate, talented individuals to join our dynamic team. If you are driven by curiosity and have a desire to be at the forefront of AI medical innovation, this is the perfect opportunity for you. As a member of our team, you will work in a stimulating environment where creativity and initiative are highly valued. You will have access to state-of-the-art facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately leading to better patient care and improving the life quality of humankinds. We are looking for candidates who are not only skilled but also enthusiastic about making a difference. Join us in this exciting journey and be a part of something truly extraordinary! For a research overview of our lab, please refer to https://www.a-star.edu.sg/bii/research/ciid/cdpl

Key Skills and Responsibilities:

• Project Planning and Execution: Follow and dynamically adjust the project plan of AIDP programme, including milestones and deadlines. Coordinate with cross-functional teams to ensure alignment and progress.
• Team Management and Leadership: Lead, mentor, and manage project teams, fostering a collaborative and productive work environment. Facilitate effective communication and teamwork among team members.
• Stakeholder Management: Engage with internal and external stakeholders, including funding bodies, research institutions, and clinical partners. Provide regular updates and reports on project status, risks, and outcomes.
• Objective and Key Results (OKRs) Management: Define and track OKRs to ensure the programme meets its strategic goals. Analyze performance data and make adjustments to keep the project on track.
• Risk Management: Identify potential risks and develop mitigation strategies. Monitor and address issues that could impact project success.
• Resource Management: Allocate and adjust resources effectively, ensuring that project needs are met within budget constraints. Manage procurement and logistics for project-related resources.
• Quality Assurance: Ensure that project deliverables meet the highest standards of quality and reliability. Implement quality control processes and continuous improvement practices.
• Collaboration and commercialization: Build strong collaboration with the local and oversea hospitals. Establish the agreements with the industrial partners for licensing and commercialization.
• Domain Knowledge: Basic knowledge, experience, and expertise in artificial intelligence, machine learning, pattern recognition, and digital image processing techniques.
• Strong analytical and logical thinking skills to address and solve complex scientific and commercialization problems.

Requirements:

• Ph.D/Master/Bachelor degree in Biomedical Engineering, Computer Science, or a related field with industrial and project management skill and experience. Additional qualifications in Project Management (e.g., PMP) are advantageous.
• Excellent writing skills, coupled with outstanding communication abilities.
• A strong team player with proven experience in managing large-scale research or development projects, preferably in the healthcare or AI fields.
• Strong background in data science, AI, machine learning, or digital pathology.
• Excellent leadership, organizational, and communication skills.
• Ability to manage multiple tasks and projects simultaneously.
• Proficiency in project management tools and software.
• Strong analytical and problem-solving skills.
• Passionate about AI and medical innovation.
• Highly motivated and results-oriented.
• Able to work under pressure and adapt to changing circumstances.
• Proven experience or strong interest in working within cross-disciplinary teams, including collaborations with hospitals and clinical researchers.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

A Progamme Manager (PM) (Objective and Key Results Officer) position is available in the Computational Digital Pathology Lab (CDPL) at the Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore. The AI-based Digital Pathology (AIDP) Program aims to develop and validate advanced AI and machine learning solutions, image processing, computer vision, and mathematical modelling for the pathological diagnosis and prognosis of cancer using digitized pathology slides, including both biopsy and whole standard slides.

The innovative AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and solve the global shortage of pathologists and increasing cancer cases with cutting-edge AI technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial intelligence systems that accurately diagnoses cancer and other diseases from digital pathology images. By leveraging state-of-the-art AI technology and advanced methodologies, we strive to achieve breakthroughs that will revolutionize the way pathologists diagnose diseases, such as Lymphoma, Gastric, Colorectal and Breast cancers, ultimately improving patient outcomes and healthcare efficiency. This program is supported by national funding and led by esteemed institutions/hospitals and cross-disciplinary leaders in the field, providing an unparalleled opportunity for professional growth and collaboration with top-tier experts.

We are seeking passionate, talented individuals to join our dynamic team. If you are driven by curiosity and have a desire to be at the forefront of AI medical innovation, this is the perfect opportunity for you. As a member of our team, you will work in a stimulating environment where creativity and initiative are highly valued. You will have access to state-of-the-art facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately leading to better patient care and improving the life quality of humankinds. We are looking for candidates who are not only skilled but also enthusiastic about making a difference. Join us in this exciting journey and be a part of something truly extraordinary! For a research overview of our lab, please refer to https://www.a-star.edu.sg/bii/research/ciid/cdpl

Key Skills and Responsibilities:

• Project Planning and Execution: Follow and dynamically adjust the project plan of AIDP programme, including milestones and deadlines. Coordinate with cross-functional teams to ensure alignment and progress.
• Team Management and Leadership: Lead, mentor, and manage project teams, fostering a collaborative and productive work environment. Facilitate effective communication and teamwork among team members.
• Stakeholder Management: Engage with internal and external stakeholders, including funding bodies, research institutions, and clinical partners. Provide regular updates and reports on project status, risks, and outcomes.
• Objective and Key Results (OKRs) Management: Define and track OKRs to ensure the programme meets its strategic goals. Analyze performance data and make adjustments to keep the project on track.
• Risk Management: Identify potential risks and develop mitigation strategies. Monitor and address issues that could impact project success.
• Resource Management: Allocate and adjust resources effectively, ensuring that project needs are met within budget constraints. Manage procurement and logistics for project-related resources.
• Quality Assurance: Ensure that project deliverables meet the highest standards of quality and reliability. Implement quality control processes and continuous improvement practices.
• Collaboration and commercialization: Build strong collaboration with the local and oversea hospitals. Establish the agreements with the industrial partners for licensing and commercialization.
• Domain Knowledge: Basic knowledge, experience, and expertise in artificial intelligence, machine learning, pattern recognition, and digital image processing techniques.
• Strong analytical and logical thinking skills to address and solve complex scientific and commercialization problems.

Requirements:

• Master/Bachelor degree in Biomedical Engineering, Computer Science, or a related field with industrial and project management skill and experience. Additional qualifications in Project Management (e.g., PMP) are advantageous.
• Excellent writing skills, coupled with outstanding communication abilities.
• A strong team player with proven experience in managing large-scale research or development projects, preferably in the healthcare or AI fields.
• Strong background in data science, AI, machine learning, or digital pathology.
• Excellent leadership, organizational, and communication skills.
• Ability to manage multiple tasks and projects simultaneously.
• Proficiency in project management tools and software.
• Strong analytical and problem-solving skills.
• Passionate about AI and medical innovation.
• Highly motivated and results-oriented.
• Able to work under pressure and adapt to changing circumstances.
• Proven experience or strong interest in working within cross-disciplinary teams, including collaborations with hospitals and clinical researchers.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

We are seeking a highly motivated and skilled Bioinformatician to join our team. As a new team working at the intersection of synthetic biology, genomics and machine learning, we seek to develop innovative approaches in advancing the field of bioinformatics and protein structure using large language models. The ideal candidate will have a strong background in computational biology, programming, and a keen interest in protein structure and language models. If you are passionate about unraveling the mysteries of biological systems using computational methods, we encourage you to apply.

Job Responsibilities:

• Develop and implement state-of-the-art algorithms and models for protein structure prediction and analysis.
• Utilize deep learning frameworks such as PyTorch and TensorFlow to design and train novel protein language models.
• Collaborate with interdisciplinary teams to integrate bioinformatics methods into biological research projects.
• Analyze and interpret high-throughput biological data, including next-generation sequencing and structural biology data.
• Contribute to the development of software tools and pipelines for protein structure prediction and analysis.
• Stay updated with the latest advancements in bioinformatics, machine learning, and protein structure prediction methods.

Job Requirements:

• Bachelor/Master's degree in Bioinformatics, Computational Biology, Computer Science, or a related field.
• Strong programming skills in Python and experience with deep learning frameworks such as PyTorch and TensorFlow.
• Proficiency in molecular visualization software, preferably PyMOL, for protein structure analysis.
• Demonstrated interest in protein structure and protein language models, with a focus on applying computational methods to solve biological problems.
• Familiarity with natural language processing and language models is a significant advantage.
• Excellent problem-solving skills and the ability to work independently and collaboratively in a team-oriented environment.
• Effective communication skills and the ability to present complex findings to both technical and non-technical audiences.
• Previous research experience in bioinformatics, computational biology, or related fields is highly desirable.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

About us

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Biomedical Datahub Division of the Bioinformatics Institute (BII), A*STAR, aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. One of our immediate challenges is to analyze and integrate and analyze multi-omics, imaging and clinical data generated by biomedical institutes in A*STAR, healthcare institutions and national initiatives in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer, metabolic diseases, and other diseases. We seek motivated individuals to join us to push the potential of biomedical data in truly benefitting patients.

Job description

We are seeking a research officer to drive data management and analysis of large-scale biomedical multi-omics and clinical data. The candidate will be expected handle a number of tasks, including curate and QC incoming large-scale multi-omics data, implement and benchmark bioinformatics workflows, perform downstream analysis, develop file catalogues, databases, knowledge graphs and visualization of datasets, and implement international data standards to ensure data interoperability. The successful candidate will also extensively mine, analyze and curate publicly available resources and develop annotation tools and databases to link up with available datasets of different diseases, including cancer and metabolic diseases. The candidate will also manage and maintain all data in a database structure and develop a searchable web portal for researchers and clinicians. This position offers the candidate an opportunity to gain expert knowledge in multi-dimensional data from cancer and other diseases, and become computationally competent in delivering these knowledge to the end-user.

Requirements:

• Bachelor/Master degree in Bioinformatics, Computational Biology, Data Science, Computer Science, Engineering, Genetics, Biology or a related field.
• At least 5 years of relevant experience
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps)
• Highly experienced with Unix/Linux environment and cloud architecture (AWS)
• Familiar with database development (e.g. SQL), BI and AI/ML.
• A background in life sciences, biology, biomedical informatics or clinical research is preferred.
• Strong analytical and problem-solving skills.
• Excellent oral and written communication and presentation skills.
• Able to work independently, and as part of a team, with a positive and enthusiastic learning attitude.
• Competent project management and organizational skills will be very valuable.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

We are seeking a highly motivated and skilled Bioinformatician to join our team. As a new team working at the intersection of synthetic biology, genomics and machine learning, we seek to develop innovative approaches in advancing the field of bioinformatics and protein structure using large language models. The ideal candidate will have a strong background in computational biology, programming, and a keen interest in protein structure and language models. If you are passionate about unraveling the mysteries of biological systems using computational methods, we encourage you to apply.

Job Responsibilities:

• Develop and implement state-of-the-art algorithms and models for protein structure prediction and analysis.
• Utilize deep learning frameworks such as PyTorch and TensorFlow to design and train novel protein language models.
• Collaborate with interdisciplinary teams to integrate bioinformatics methods into biological research projects.
• Analyze and interpret high-throughput biological data, including next-generation sequencing and structural biology data.
• Contribute to the development of software tools and pipelines for protein structure prediction and analysis.
• Stay updated with the latest advancements in bioinformatics, machine learning, and protein structure prediction methods.

Job Requirements:

• Bachelor/Master's degree in Bioinformatics, Computational Biology, Computer Science, or a related field.
• Strong programming skills in Python and experience with deep learning frameworks such as PyTorch and TensorFlow.
• At least 5 years of relevant experience
• Proficiency in molecular visualization software, preferably PyMOL, for protein structure analysis.
• Demonstrated interest in protein structure and protein language models, with a focus on applying computational methods to solve biological problems.
• Familiarity with natural language processing and language models is a significant advantage.
• Excellent problem-solving skills and the ability to work independently and collaboratively in a team-oriented environment.
• Effective communication skills and the ability to present complex findings to both technical and non-technical audiences.
• Previous research experience in bioinformatics, computational biology, or related fields is highly desirable.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

About us

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Biomedical Datahub Division of the Bioinformatics Institute (BII), A*STAR, aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. One of our immediate challenges is to analyze and integrate and analyze multi-omics, imaging and clinical data generated by biomedical institutes in A*STAR, healthcare institutions and national initiatives in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer, metabolic diseases, and other diseases. We seek motivated individuals to join us to push the potential of biomedical data in truly benefitting patients.

Job description

We are seeking a research officer to drive data management and analysis of large-scale biomedical multi-omics and clinical data. The candidate will be expected handle a number of tasks, including curate and QC incoming large-scale multi-omics data, implement and benchmark bioinformatics workflows, perform downstream analysis, develop file catalogues, databases, knowledge graphs and visualization of datasets, and implement international data standards to ensure data interoperability. The successful candidate will also extensively mine, analyze and curate publicly available resources and develop annotation tools and databases to link up with available datasets of different diseases, including cancer and metabolic diseases. The candidate will also manage and maintain all data in a database structure and develop a searchable web portal for researchers and clinicians. This position offers the candidate an opportunity to gain expert knowledge in multi-dimensional data from cancer and other diseases, and become computationally competent in delivering these knowledge to the end-user.

Requirements:

• Bachelor/Master degree in Bioinformatics, Computational Biology, Data Science, Computer Science, Engineering, Genetics, Biology or a related field.
• Preferably with at least 3 - 5 years of relevant experience
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps)
• Highly experienced with Unix/Linux environment and cloud architecture (AWS)
• Familiar with database development (e.g. SQL), BI and AI/ML.
• A background in life sciences, biology, biomedical informatics or clinical research is preferred.
• Strong analytical and problem-solving skills.
• Excellent oral and written communication and presentation skills.
• Able to work independently, and as part of a team, with a positive and enthusiastic learning attitude.
• Competent project management and organizational skills will be very valuable.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

The successful applicant will be involved in a multidisciplinary and collaborative research study on the built environment and mental well-being. He/She will investigate how the urban environment, such as neighbourhood design, heat stress and noise pollution, can influence the positive and negative aspects of mental well-being in families. The candidate will also be involved in longitudinal cohort studies and collaborations with clinicians and researchers from a wide range of disciplines.

1. Data management and analysis of data
2. Combine a thorough examination of the literature with study results to answer scientific questions and hypothesis
3. Assist with preparation of scientific publications, data reports, grants and presentations
4. Perform measurements, collection of data and samples as well as field and experimental work
5. Assist with other administrative duties

Job requirements

• Degree in Biomedical Sciences, Bioinformatics, Architecture, Statistics, Geography, Real Estate, Urban Planning or a closely related field
• No experience required or applicants with relevant project experience are welcome
• Highly self-motivated with excellent communication and writing skills.
• Proficient in Microsoft Office and statistical program.
• Strong desire to learn in a dynamic multi-disciplinary research environment.
• Previous experience with geospatial analysis, managing and analyzing data sets and/or in bioinformatics will be preferred.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Job Description:

The Laboratory Officer will be responsible for the efficient operation of the vapor deposition lab, focusing on both physical vapor deposition (PVD) and chemical vapor deposition (CVD) techniques. This role requires a strong technical background in thin film deposition processes, excellent organizational skills, and the ability to collaborate effectively with research teams. The Laboratory Officer will work closely with the research engineers and scientists to oversee lab operations and provide support to ongoing projects. Key responsibilities include:

Lab Management:

• Manage day-to-day operations of the vapor deposition lab, including equipment maintenance, process optimization, and safety protocols.
• Ensure that the lab is well-equipped and stocked with necessary materials and consumables for PVD/CVD processes.
• Coordinate with vendors for procurement of deposition materials, gases, and other supplies as needed.
• Maintain a clean and safe working environment in accordance with laboratory standards and regulations.

Process Optimization:

• Develop and optimize deposition processes for thin film fabrication using PVD and CVD techniques.
• Conduct experiments to characterize film properties, optimize deposition parameters, and troubleshoot process issues.
• Collaborate with researchers and project teams to identify and implement improvements in deposition quality, yield, and efficiency.

Experimental Support:

• Provide technical support to researchers and project teams for experimental setup, process monitoring, and data analysis.
• Assist with the design and fabrication of thin film devices and structures for research applications.
• Perform routine calibration and maintenance of deposition equipment to ensure reliable and reproducible results.
• Document experimental procedures, results, and observations in detailed lab reports.

Project Support:

• Collaborate with project teams to support the execution of research projects requiring thin film deposition capabilities.
• Manage project timelines and deliverables to ensure that milestones are met in accordance with project objectives.
• Communicate regularly with project stakeholders to provide updates on progress and address any technical challenges or concerns.

Training and Development:

• Provide training and guidance to new lab members on proper laboratory techniques, safety procedures, and equipment operation.
• Stay informed about advancements in thin film deposition technology through literature review and professional development activities.
• Share knowledge and best practices with other members of the research team to enhance overall productivity and effectiveness.

Requirement:

• Diploma or equivalent qualification in Electrical Engineering/Materials Science and Engineering/Mechanical engineering, or a related science and engineering field.
• Proven experience working in a laboratory setting, with a focus on thin film deposition techniques such as PVD and CVD.
• Strong understanding of deposition processes, including vacuum systems, gas flow control, and substrate preparation.
• Preferred to have good hands-on experience with system maintenance.
• Ability to work effectively independently.
• Ability to work effectively in a team.
• Ability to manage multiple tasks and priorities effectively.
• Proficiency in operating and troubleshooting deposition equipment.
• Strong communication and interpersonal skills, with the ability to work collaboratively in a team environment.
• Commitment to maintaining a safe and compliant laboratory environment, with knowledge of relevant safety regulations and procedures.

Note: Some of above requirements are optional but advantageous to have.

Job Description:

The Laboratory Officer will be responsible for the efficient operation of the vapor deposition lab, focusing on both physical vapor deposition (PVD) and chemical vapor deposition (CVD) techniques. This role requires a strong technical background in thin film deposition processes, excellent organizational skills, and the ability to collaborate effectively with research teams. The Laboratory Officer will work closely with the research engineers and scientists to oversee lab operations and provide support to ongoing projects. Key responsibilities include:

Lab Management:

• Manage day-to-day operations of the vapor deposition lab, including equipment maintenance, process optimization, and safety protocols.
• Ensure that the lab is well-equipped and stocked with necessary materials and consumables for PVD/CVD processes.
• Coordinate with vendors for procurement of deposition materials, gases, and other supplies as needed.
• Maintain a clean and safe working environment in accordance with laboratory standards and regulations.

Process Optimization:

• Develop and optimize deposition processes for thin film fabrication using PVD and CVD techniques.
• Conduct experiments to characterize film properties, optimize deposition parameters, and troubleshoot process issues.
• Collaborate with researchers and project teams to identify and implement improvements in deposition quality, yield, and efficiency.

Experimental Support:

• Provide technical support to researchers and project teams for experimental setup, process monitoring, and data analysis.
• Assist with the design and fabrication of thin film devices and structures for research applications.
• Perform routine calibration and maintenance of deposition equipment to ensure reliable and reproducible results.
• Document experimental procedures, results, and observations in detailed lab reports.

Project Support:

• Collaborate with project teams to support the execution of research projects requiring thin film deposition capabilities.
• Manage project timelines and deliverables to ensure that milestones are met in accordance with project objectives.
• Communicate regularly with project stakeholders to provide updates on progress and address any technical challenges or concerns.

Training and Development:

• Provide training and guidance to new lab members on proper laboratory techniques, safety procedures, and equipment operation.
• Stay informed about advancements in thin film deposition technology through literature review and professional development activities.
• Share knowledge and best practices with other members of the research team to enhance overall productivity and effectiveness.

Requirement:

• Diploma or equivalent qualification in Electrical Engineering/Materials Science and Engineering/Mechanical engineering, or a related science and engineering field.
• Proven experience working in a laboratory setting, with a focus on thin film deposition techniques such as PVD and CVD.
• Strong understanding of deposition processes, including vacuum systems, gas flow control, and substrate preparation.
• Preferred to have good hands-on experience with system maintenance.
• Ability to work effectively independently.
• Ability to work effectively in a team.
• Ability to manage multiple tasks and priorities effectively.
• Proficiency in operating and troubleshooting deposition equipment.
• Strong communication and interpersonal skills, with the ability to work collaboratively in a team environment.
• Commitment to maintaining a safe and compliant laboratory environment, with knowledge of relevant safety regulations and procedures.

Note: Some of above requirements are optional but advantageous to have.

The successful candidate will be a member of a translational team investigating and designing RNAi therapeutics for various epithelial disorders.

Responsibilities:

• Involvement in projects related to epithelial disorders.
• Perform wet lab experiments using techniques in molecular biology including immunohistochemical analysis, in situ hybridization and microscopy.
• Perform husbandry and genotyping of the laboratory’s mouse colony.
• Provide laboratory maintenance support and procurement activities.

Requirements:

• Bachelor’s degree in Life Sciences/Biomedical Sciences/Biological Sciences or related fields
• Experience in a laboratory environment.
• Willing to work with mouse models; prior experience is a plus.
• Excellent organizational and interpersonal skills and attention to details.
• Excellent oral and written communication skills.
• Highly motivated and passion for research.

Job Description:

We are seeking a highly skilled and motivated Research Officer specializing in AI and spatial multi-omics to join our cutting-edge research team. This role focuses on advancing cancer immunotherapy (IO) for Asian-prevalent tumors through the integration of Generative AI techniques and spatial multi-omics data analysis. This position offers a unique opportunity to address critical challenges in immunotherapy, such as the identification of effective biomarkers and an in-depth understanding of the tumor microenvironment.

Key Responsibilities:

1. Multi-Omics-IO Classifier Development: Develop and validate a classifier to integrate IO biomarkers identified from the multi-omics analyses, benchmarked against conventional markers (e.g., PD-1/PD-L1).

2. AI Model Development: Create AI models for virtual staining to visualize gene expression and multi-omics biomarkers.

3. Collaboration & Reporting: Collaborate with pathologists, immunologists, and AI researchers to ensure robust, clinically relevant model development. Prepare reports, presentations, and manuscripts for publication.

Requirements:

• Bachelor degree in AI/ML, or a related field with a strong focus on imaging and deep learning.
• Technical Skills: Expertise in AI techniques and experience in omics data analysis.
• Strong programming skills in Python or R, with experience in deep learning frameworks (e.g., PyTorch, TensorFlow).
• Domain Knowledge: Familiarity with cancer immunotherapy and biomarker development.
• Analytical Skills: Proven experience in developing and evaluating complex machine learning models, especially for biomarker discovery and clinical applications.
• Collaboration & Communication: Excellent interpersonal and communication skills to work effectively within a multidisciplinary team of scientists, clinicians, and technical staff.
• Preferably with experience with virtual staining, explainable AI, and histopathological analysis. A track record of publications in high-impact journals and presentations at scientific conferences. Prior experience in developing and applying AI models in healthcare or clinical settings is a plus.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Key Responsibilities:

• Prepare and organize laboratory materials, reagents, and samples for experiments.
• Assist in the setup and operation of lab equipment such as precision milling machine, laser cutting machine and 3D printing machine.
• Set up and calibrate laboratory equipment and instruments.
• Conduct routine maintenance and cleaning of laboratory equipment.
• Monitor inventory levels of laboratory supplies and place orders for replenishment when necessary.
• Assist scientists and engineers in research projects and training courses, contributing to experiments and investigations.
• Collect, record, and analyse experimental data using laboratory techniques and instrumentation.
• Prepare and maintain detailed records of experimental procedures, observations, and results.

Qualifications and Skills:

• Certificate or diploma relevant to Computer Numerical Controlled (CNC)
• Previous experience working in a laboratory setting, preferably in a research or academic environment.
• Familiarity with laboratory equipment and instrumentation such as milling machine and microscopes.

We value the following soft skills:

• Strong attention to detail and accuracy in performing laboratory tasks and recording data.
• Strong organizational skills and the ability to multitask effectively in a fast-paced environment.
• Good communication skills and the ability to work collaboratively in a team-oriented setting.
• Knowledge of laboratory safety protocols and procedures.

Job Description

SIMTech is looking for a highly motivated, quick learner with excellent interpersonal skills to join Additive Technology Innovation (ATI) Group. The successful candidate will have opportunities to participate in research and industry projects in additive manufacturing (AM) and be involved in a highly challenging and dynamic research and development environment by working with scientists and engineers. The lab officer’s responsibilities include sample preparation, characterization, measurement, and mechanical testing. The lab officer also supports group’s research activities through procurement, equipment maintenance, risks assessments, including:

• Hand-on work such as preparing, operating and unpacking AM printers.
• Perform material testing, sample preparation, dimensional measurements, surface quality inspection, microstructure & defects analysis.
• Tracking and managing lab and group’s resource utilization, procurement, and delivery.
• Storage space management and optimization.
• Ensure high operational readiness by liaising with vendors to troubleshooting breakdowns preventive maintenance, and repairs.
• Facilitating mechanical and electrical installations for new equipment.
• Assist in lab equipment operation, collection of process data and analysis of results.
• Secondary roles related to health, safety, environment, and procurement to manage the Risk Assessment (RA), Standard Working Procedures (SWP), Permit to Work (PTW), and chemical purchasing and storage.
• Identify and recommend improvement measurements to ensuring high quality in lab safety and 5S standards.

Job Requirements

• Polytechnic / Technical Diploma degree in Engineering.
• Strong hands-on capabilities.
• Meticulous attention to detail.
• Diligent and possess a positive work attitude.
• Good communication skills.
• Proficient in Microsoft Office.
• Open attitude to lifelong learning and adapts well to new technologies.
• In-depth knowledge / hands-on experience in design for additive manufacturing (DfAM), CAD-based modelling, fusion or sinter-based additive manufacturing processing & metallurgy will be an added advantage.

Key Responsibilities:

• Prepare and organize laboratory materials, reagents, and samples for experiments.
• Assist in the setup and operation of lab equipment such as precision milling machine, laser cutting machine and 3D printing machine.
• Set up and calibrate laboratory equipment and instruments.
• Conduct routine maintenance and cleaning of laboratory equipment.
• Monitor inventory levels of laboratory supplies and place orders for replenishment when necessary.
• Assist scientists and engineers in research projects and training courses, contributing to experiments and investigations.
• Collect, record, and analyse experimental data using laboratory techniques and instrumentation.
• Prepare and maintain detailed records of experimental procedures, observations, and results.

Qualifications and Skills:

• Certificate or diploma relevant to Computer Numerical Controlled (CNC)
• Previous experience working in a laboratory setting, preferably in a research or academic environment.
• Familiarity with laboratory equipment and instrumentation such as milling machine and microscopes.

We value the following soft skills:

• Strong attention to detail and accuracy in performing laboratory tasks and recording data.
• Strong organizational skills and the ability to multitask effectively in a fast-paced environment.
• Good communication skills and the ability to work collaboratively in a team-oriented setting.
• Knowledge of laboratory safety protocols and procedures.

Job Description

SIMTech is looking for a highly motivated, quick learner with excellent interpersonal skills to join Additive Technology Innovation (ATI) Group. The successful candidate will have opportunities to participate in research and industry projects in additive manufacturing (AM) and be involved in a highly challenging and dynamic research and development environment by working with scientists and engineers. The lab officer’s responsibilities include sample preparation, characterization, measurement, and mechanical testing. The lab officer also supports group’s research activities through procurement, equipment maintenance, risks assessments, including:

• Hand-on work such as preparing, operating and unpacking AM printers.
• Perform material testing, sample preparation, dimensional measurements, surface quality inspection, microstructure & defects analysis.
• Tracking and managing lab and group’s resource utilization, procurement, and delivery.
• Storage space management and optimization.
• Ensure high operational readiness by liaising with vendors to troubleshooting breakdowns preventive maintenance, and repairs.
• Facilitating mechanical and electrical installations for new equipment.
• Assist in lab equipment operation, collection of process data and analysis of results.
• Secondary roles related to health, safety, environment, and procurement to manage the Risk Assessment (RA), Standard Working Procedures (SWP), Permit to Work (PTW), and chemical purchasing and storage.
• Identify and recommend improvement measurements to ensuring high quality in lab safety and 5S standards.

Job Requirements

• Polytechnic / Technical Diploma degree in Engineering.
• Strong hands-on capabilities.
• Meticulous attention to detail.
• Diligent and possess a positive work attitude.
• Good communication skills.
• Proficient in Microsoft Office.
• Open attitude to lifelong learning and adapts well to new technologies.
• In-depth knowledge / hands-on experience in design for additive manufacturing (DfAM), CAD-based modelling, fusion or sinter-based additive manufacturing processing & metallurgy will be an added advantage.

A Research Officer position is immediately available at the Stem Cells and Diabetes Laboratory. Dr Adrian Teo's laboratory is interested in leveraging on stem cell technology to study mechanisms underlying diabetes and metabolic diseases. Reference: www.adrianteolab.com.

Qualifications / Requirements:

• Degree in Biological Science and Life Science disciplines or equivalent
• Deep commitment and interest in research, demonstrated from previous research experience
• Minimum 6 months prior research experience in the Biomedical field
• Experience with mammalian cell culture and molecular biology techniques
• Experience with animal work and surgical techniques
• Experience with mammalian stem cell work will be valued
• Excellent organizational and interpersonal skills
• Highly motivated, passion for science, committed to laboratory work and able to work flexible hours
• Ability to multitask, work independently and also as part of a team
• Excellent communication (verbal and written) and presentation skills
• Experience in Flow Cytometry, Immunoprecipitation techniques, RNA-seq, Mass Spectrometry and bioinformatics will be valued

Interested candidates are invited to send a brief cover letter detailing research motivation, curriculum vitae, and the names and email addresses of referees.

The A*STAR Institute for Human Development and Potential (A*STAR IHDP) focuses on research that aims to improve and impact the health and wellbeing of Singaporeans across the life course.

Job Description:

We are seeking for a highly motivated individual to take on the functional role that combines data management and data science skills for OMOP data curation & data analytics of Integrative Adolescence Research Programme (IARP).

Job Responsibilities:

• Implementation of OHDSI OMOP framework across the national strategic research datasets such as the Integrative Adolescence Research Programme (IARP).
• Develop and implement data management strategies for standard Common Data Model, vocabulary/ontology, mapping tools, methods and documentation (HDR UK CaRROT mapper).
• Develop and implement proactive quality control audits/quality management plans across datasets to ensure data mapping accuracies and completeness.
• Perform advanced analytics atop the OMOP Common Data Model for population-level analyses and data visualizations

Job Requirements:

• A Bachelor/Master Degree in Public Health, Data Science, Statistics, Computer Science, Artificial Intelligence or related field.
• Good programming skills (Python, R).
• Knowledge/experience on OHDSI OMOP framework and regulatory data submissions.
• Good team player and communication skills for collaborative research.
• 3 to 5 years' experience.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.