Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Associate (Computational and Laboratory Biology) in the Department of Biochemistry, Yong Loo Lin School of Medicine. Specifically, utilising data science approaches involving machine learning and artificial intelligence, A/Prof Gruber’s team focuses on the development and validation of biological ageing clocks for clinical translation and application, as well as in model organisms. Appointments will be made on a two-year contract basis, in the first instance, with the possibility of extension.

Purpose of the post

The successful candidate should have a strong background in both mathematical/machine learning methods and biological laboratory techniques. He or she will also be responsible for data analysis and for developing computational models, algorithms, and tools to analyse and interpret complex biological datasets derived from multi-omics data. The ideal candidate will combine a strong understanding of statistical and machine learning methods, as well as expertise in programming languages such as R and/or Python with training in biology, biochemistry or a related discipline. Industry experience in biotech or pharma would be an advantage.

Main Duties and Responsibilities

The Research Associate will work with other team members to develop and validate biological ageing clock algorithms, and will be accountable to the Principle Investigator (PI). The Research Associate will be able to:

1. Process and extract biological samples (tissue and clinical origin) for -omics analysis;
2. Develop and apply computational models, algorithms, and tools to analyse and interpret large-scale biological datasets (e.g. genomics, transcriptomics, proteomics);
3. Collaborate with experimental biologists to design and analyse experiments, and interpret results;
4. Develop and maintain databases and data pipelines for biological data;
5. Stay up-to-date on new computational methods and tools, and apply them to ongoing research projects;
6. Communicate research findings through publications, presentations, and reports;
7. Collaborate with cross-functional teams to integrate computational biology approaches with other disciplines (e.g. clinical medicine).

Qualifications

The applicant should:

1. Have a Master’s degree or equivalent in Computational Biology, Bioinformatics, Bioengineering and/or Biology;
2. Hands-on experience and skills in standard biological laboratory techniques;
3. Strong programming skills in relevant languages such as R and/or Python;
4. Experience with biological data analysis and interpretation;
5. Knowledge of biological systems and processes;
6. Excellent communication and collaboration skills;
7. Strong problem-solving skills and ability to work independently.

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to A/Prof Jan Gruber at [email protected].

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to this job portal.

We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Energy Studies Institute

The Energy Studies Institute (ESI) is a research institute at the National University of Singapore seeking to advance the understanding of energy policy issues by conducting independent research and analysis. We are looking for researchers to join a multi-disciplinary team carrying out research projects on a range of energy issues that are of concern to Singapore and the region.

Job Description

• Conduct advanced research on energy and environmental systems to support policy-making for Singapore's decarbonization pathways.
• Participate in engagements with stakeholders and external research groups; supervise research students involved in the study.
• Produce policy reports, documentation and publish articles in reputable academic journals.
• Cultivate networks, initiate collaborations, and prepare funding proposals to support ongoing research.
• Perform administrative duties, including organizing seminars, workshops, and conferences, along with other responsibilities as assigned by the Head of Division or Principal Investigator.

Requirements

• Possess a master’s degree in energy systems modelling, energy and climate economics, or related quantitative research fields.
• At least two years of relevant research experience in areas including: national-level energy systems model (e.g. MARKAL-TIMES, GCAM, CGE), sector-specific energy system model (e.g. power, transportation, industry), techno-economic evaluation for energy and decarbonization technologies, or energy and environmental analysis (e.g. decomposition analysis, input-output analysis, life cycle analysis).
• A good understanding and interest in energy and environmental issues, such as energy supply, demand, trade, efficiency, energy and environment relations, and climate change.
• Experience in energy system model integration is a plus.
• Relevant working and practical experience in industry or government agencies in energy and environment in Singapore would be highly valuable.
• Track record of publications in reputable energy, environmental and/or systems modelling-related journals would be an advantage.
• Able to work independently and collaborate with team members.

Application Process

To apply for this position, please combine the following documents in 1 PDF and attach it under the CV column when submitting your application:

• Curriculum vitae
• A cover letter, of no more than 800 words, explaining the applicant’s past research experience and aptitude in relation to the research project

Interested candidates, please submit your application with all the required documents. Only shortlisted applicants will be notified. Shortlisted applicants may be called for interview, either in person or by zoom, as appropriate. If you have not heard from us within 3 months, you should assume that your application has not been successful.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to deliver on a Pharmaceutical Innovation Programme Singapore research project where you will be part of a collaborative team exploring innovative ways of understanding extrusion processing for pharmaceutical drug materials and products using rheological measurements.

Key Responsibilities

In this role, you will characterize mixtures of pharmaceutical excipients and drug materials to develop methodologies for screening hot-melt extrusion formulations and selecting optimal operating conditions using rheology, with the objective of producing amorphous-solid-dispersions. You will validate the developed processing space and operating conditions for extruded pharmaceutical formulations using a lab-scale extruder. In collaboration with researchers at the Singapore-MIT Alliance for Research and Technology (SMART), you will characterize the physical properties and performance of intermediate pharmaceutical drug products. The created methods will be transferred to the industrial partner to enhance their product development process using rheological characterization.

More specific responsibilities include:

• Participate in and manage the research project with Principal Investigator (PI), and the research team members to ensure all project deliverables are met.
• Undertake characterization of pharmaceutical active ingredients, polymeric excipients, and plasticizers for producing amorphous-solid-dispersions.
• Perform lab-scale hot-melt extrusion of pharmaceutical materials to validate predicted processing conditions and product outcomes.
• Collaborate with broader pharmaceutical research team at SMART.
• Design, execute, and interpret experiments independently.
• Author papers in high-quality journals in areas that are related to the research.
• Prepare and deliver reports and presentations for industrial partners
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaise with vendors/suppliers.
• Work independently, as well as within a team.

Job Requirements

• Have deep hands-on experience with at least one of the areas of polymer rheology, extrusion processing, pharmaceutical engineering with small molecules.
• Relevant competence in the areas of wet lab work, analytical instrumentation, material science and formulation
• Have an advanced degree in chemical engineering, mechanical engineering, materials science and engineering, or a related field.
• Knowledge of any of the following will be advantageous: rheology, physical characterisation, crystallisation, polymer melts, extrusion, material physics.

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development.
• Proficient in communicating via technical writing and presentations.
• Possess strong analytical and critical thinking skills.
• Show strong initiative and take ownership of work.

The APAC Biological Product Science & Technology (BPS&T) Strategy Leader provides a critical link between the Regional Commercial Units (RCUs) and the Crop Health, Product Science & Technology (CH PS&T) R&D global function. With the direction of the PS&T R&D LT, the APAC BPS&T Strategy Leader coordinates the design and execution of Product Science & Technology R&D activities aligned with research projects spanning discovery through post-launch stages.

The incumbent will define and conduct research across multiple project areas using in-depth knowledge and proactive application of scientific principles, theory and experimental design. In addition, the incumbent will perform research across multiple disciplines while developing and implementing technical solutions through hands-on experimentation.

Core Responsibilities:

· Understands RCU strategies to ensure that CH PS&T is aligned and resourced to deliver. Communication channel from the RCU back to the CH PS&T function to strengthen the functions’ ability to contribute. Effectively works with leaders in both organizations to resolve conflicts.

· Assesses and interprets RCU goals and initiatives into functional strategies and competencies for the broader CH PS&T function and deliver the results required.

· Develops robust communication strategies and implements a range of effective communication methods that inform and influence; effectively utilizes organizational networking to influence decision making.

· Facilitates the evaluation of new product technologies to meet RCU business needs and interfaces with the CH PS&T Global Formulation Portfolio Leaders to communicate these opportunities. Responsible for the effective communication of specific RCU needs to the CP PS&T Global Formulation Portfolio Leaders to ensure needs are incorporated into product development.

· Develop expertise within the APAC PS&T RL team for biologicals product & Integrated solution development.

· Implement capabilities at Singapore Lab to support these RD projects.

· Leads multi-disciplinary teams of scientists to deliver key technical milestones of large projects.

· Participates in the innovation process as it applies to specific projects and contributes to the innovation process through new opportunity identification. Collaborates with other functions in PS&T R&D and across R&D to explore, test and reduce to practice novel delivery concepts.

· Develops value-creating solutions for our customers and stakeholders (manufacturing, regulatory, biology, commercial) in response to presented problems with broad scope and impact.

· Supports and participates in PS&T peer reviews and other inclusive processes to ensure diversity of thoughts and robust participation of functional partners benefits the projects and RCU.

· Coaches others in identifying opportunities and how to understand and articulate value of Corteva Agriscience technologies in different concepts. Coaches and mentors junior level researchers and technologists in the areas of technical and career development.

· Develops strategies for using external contact network; demonstrates influence to external organizations that impact and contribute to business success.

· Partners with regulatory functions to identify and address regulatory constraints and requirements and communicates proactively with PS&T project leaders to ensure these constraints / requirements are incorporated into product design.

· Drives the definition of the molecule support requirements for the RCU, anticipates product support needs and implements steps to use product support to differentiate Corteva Agriscience from the competition. Works closely with the PS&T Product Technology Expertise Center Leader to ensure molecule support needs are adequately resourced.

· Monitors the competition and market trends in the RCU and communicates the information to PS&T project leaders and CH PS&T Global Formulation Portfolio Leaders.

· Maintains university / 3rd party research organizations contacts to keep technologies at state-of-the-art level and bring suitable technologies in house.

· Participates in organizing and chairing industry conferences and committees and influences key outcomes from those organizations.

Qualifications:

Educational Requirements:

· Ph.D. in chemistry, chemical engineering, material science or related field

· Fluency in English is a must for this position. Additional language skills (e.g. Chinese or Japanese) would be an advantage.

Technical / Functional Knowledge:

· Minimum of 10 years expertise in crop protection or biological formulation design and development.

· A solid track record of documentation. Ability to work independently and drive projects to completion. Demonstrated significant involvement in designing studies, carrying out experiments, interpreting data, etc. to meet project milestones.

Organizational Knowledge:

· The incumbent needs to be familiar with the R&D organization and the roles performed by each R&D function. The incumbent needs to be familiar with the Operations organization and Commercial organization for Agriscience.

Innovation:

· An ability to think ‘out of the box’ to develop novel, creative solutions for product and regulatory challenges and to inspire innovation in others is critical, as innovation will be the key to future breakthrough improvements in product development.

Interpersonal Effectiveness:

· Strong interpersonal and leadership skills. Build extensive network outside the CH PS&T R&D function. Excellent verbal and written communication skills. Ability to delivers presentations that distill complex ideas and proactively communicates results and progress to technical teams, supervision, management, and business leadership.

Leadership:

· Ability to successfully partner with team members and stakeholders from multiple backgrounds and cultures.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Energy Studies Institute

The Energy Studies Institute (ESI) is a research institute at the National University of Singapore seeking to advance the understanding of energy policy issues by conducting independent research and analysis. We are looking for researchers to join a multi-disciplinary team carrying out research projects on a range of energy issues that are of concern to Singapore and the region.

Job Description

• Conduct advanced research on energy and environmental systems to support policy-making for Singapore's decarbonization pathways.
• Participate in engagements with stakeholders and external research groups; supervise research students involved in the study.
• Produce policy reports, documentation and publish articles in reputable academic journals.
• Cultivate networks, initiate collaborations, and prepare funding proposals to support ongoing research.
• Perform administrative duties, including organizing seminars, workshops, and conferences, along with other responsibilities as assigned by the Head of Division or Principal Investigator.

Requirements

• Possess a PhD degree in energy systems modelling, energy and climate economics, or related quantitative research fields.
• At least two years of relevant research experience in areas including: national-level energy systems model (e.g. MARKAL-TIMES, GCAM, CGE), sector-specific energy system model (e.g. power, transportation, industry), techno-economic evaluation for energy and decarbonization technologies, or energy and environmental analysis (e.g. decomposition analysis, input-output analysis, life cycle analysis).
• A good understanding and interest in energy and environmental issues, such as energy supply, demand, trade, efficiency, energy and environment relations, and climate change.
• Experience in energy system model integration is a plus.
• Relevant working and practical experience in industry or government agencies in energy and environment in Singapore would be highly valuable.
• Track record of publications in reputable energy, environmental and/or systems modelling-related journals would be an advantage.
• Able to work independently and collaborate with team members.

Application Process

To apply for this position, please combine the following documents in 1 PDF and attach it under the CV column when submitting your application:

• Curriculum vitae
• A cover letter, of no more than 800 words, explaining the applicant’s past research experience and aptitude in relation to the research project

Interested candidates, please submit your application with all the required documents. Only shortlisted applicants will be notified. Shortlisted applicants may be called for interview, either in person or by zoom, as appropriate. If you have not heard from us within 3 months, you should assume that your application has not been successful.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

• The Research Fellow will work closely with the Principal Investigator, Dr. WU Zhe, on several research projects of optimization of chemical and manufacturing processes through machine learning tools
• The Research Fellow will help to develop both theoretical and simulation study of machine-learning-based control and optimization algorithms to chemical processes.

Job Requirements

For Research Fellow Position:

• A PhD degree in a relevant area, e.g., Control Engineering, Chemical Engineering, Automation, Systems Engineering, Computer Science or Applied Mathematics;
• Good publication record;
• Experienced in advanced process control, machine learning, and programming languages (e.g., python, Matlab, C++, etc)

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

About the Centre for Research in Health Systems Performance (CRiHSP)

Optimizing the performance of health systems is essential to ensuring the wellbeing and longevity of populations worldwide. Singapore is particularly well placed to lead research in this field as its health system has been consistently ranked as one of the best in the world based in independent evaluation with the Global Burden of Disease data. The new Centre for Research in Health Systems Performance (CRiHSP) aims to advance research in this area within the Yong Loo Lin School of Medicine of the National University of Singapore (NUS) as the leading centre for research in health systems in Asia with the following core functions:

1. Research: empirical and methodological research and evidence synthesis on health systems performance with a particular focus on Value Based Healthcare.
2. Health policy intelligence: health policy impact analysis aimed at policy makers, service providers, researchers, and the wider public.
3. Capacity building: formal postgraduate programme (from certificates to PhD), fellowships, mentoring, on-the- job and ad hoc training
4. Contributing to improving NUHS performance: expert advice on the development, implementation, and evaluation of flagship initiatives (including Healthier SG) aimed at making step changes in NUHS performance, and programme evaluation

The multidisciplinary team of researchers in health systems (health services and policy researchers, data scientists, social scientists, and others), and administrators working in CRiHSP will provide an exciting and dynamic place in which people of diverse backgrounds collaborate towards the common goal of achieving excellence in Health Systems Research. The team will further benefit from a significant expansion in related fields and collaborations with the Department of family Medicine at the National University Health System (NUHS), the new Centre for Sustainable Medicine (CoSM) and the Centre for Behavioural and Implementation Sciences Interventions (BISI) at the School of Medicine and the Saw Swee Hock School of Public Health.

Duties and Responsibilities

The Research Associate will have the following duties:

• Contribution to the management of research activities including grant and IRB/DSRB applications, budgeting, planning and monitoring project timelines and generally support project management and coordination and liasing with internal and external stakeholders
• Conduct literature reviews, including collation and synthesis of the literature
• Support the design and interpretation of quantitative surveys and qualitative interviews and focus groups and collected data
• Contribute to and lead (where appropriate) protocol, manuscript and report timely writing, editing and submission.
• Present work for feedback and dissemination at workshops or conferences locally and/or internationally

The post holder will be expected to be flexible in their role as the CRiHSP´s capacity evolves.

NUS offers highly competitive remuneration packages. The successful applicant will be offered an annual salary plus benefits commensurate with his or her qualifications, experience and expertise and may have access to travel support to disseminate research outcomes at international academic conferences.

The position is full-time for 1 year in the first instance, depending on project commitments and candidate’s career objectives.

Qualifications

Applicants will be evaluated based on the following selection criteria:

Qualifications

• Masters in Life Sciences, Health & Social Sciences

Experience

• Experience in planning, managing and implementing healthcare-related research projects using qualitative and/or quantitative data, from conception to completion, in a University setting (essential)
• Track record of publishing in international peer-reviewed journals (desirable)
• Researchers with existing research activities related to Value Based Health Care, patient reported outcomes or patient reported experiences of care are particularly encouraged to apply

Qualifications

Skills and Personal Attributes:

• Strong communication skills in English, both written and spoken (essential)
• Ability to work independently and as part of a multidisciplinary team (essential)
• Highly developed problem-solving skills and adept at managing complex problems (essential)
• Outcome-orientation with excellent organizational and project management skills, and attention to detail (essential)
• Ability to work with culturally diverse populations (essential)

Interested candidates should submit a detailed CV (personal particulars, academic and employment history, full list of publications, contacts details of three (3) referees) and cover letter outlining their motivation and suitability for the project addressing each of the criteria outlined above. Only shortlisted candidates will be notified. Applications will be considered on a rolling basis until a suitable candidate is found.

The application should include a CV and a cover letter that describes the applicant’s specific interest in joining the team. Only shortlisted candidates will be contacted.

Informal enquiries can be made to Prof Jose M Valderas at [email protected].

JOB DESCRIPTION

We are looking for highly-motivated and skilled programmers to join us in Biomed DAR (BII A*Star), to work on a new initiative in the development and deployment of software tools for data management support systems/biomedical data repository. Our work supports BMRC-wide research programmes and industry collaborations.

Successful candidates will work with a team of data scientists, data engineers and UI designers to program a web-application stack for automated data integrity checks, data curation, data annotation, and data imputation for structured data generated by research programmes. Successful candidates will have the opportunity to tap into a large pool of biomedical data from different disciplines and to interact with the companies/researchers to understand their real data needs.

JOB REQUIREMENT

· Minimum bachelor’s degree or diploma in the field of computer science, computer engineering, or other web programming intensive course. With expertise in at least one of the following areas: creating, maintaining, implementing APIs, front-end development, microservices architecture

· Possess minimum 5 years or more of relevant work experience.

· Ability to work independently to translate design templates and ideas into programs with efficient coding.

· Basic knowledge in data analytics and proficient in Python, Node.js, React, SQL

· Prior industry experience with engineering, financial services, healthcare is a plus.

· Able to deliver under tight schedule.

· Good team player with understanding of best practices and cybersecurity.

· Good interpersonal and communication skills.

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

We are looking for highly-motivated and skilled programmers to join us in Biomed DAR (BII A*Star), to work on a new initiative in the development and deployment of software tools for data management support systems/biomedical data repository. Our work supports BMRC-wide research programmes and industry collaborations.

Successful candidates will work with a team of data scientists, data engineers and UI designers to program a web-application stack for automated data integrity checks, data curation, data annotation, and data imputation for structured data generated by research programmes. Successful candidates will have the opportunity to tap into a large pool of biomedical data from different disciplines and to interact with the companies/researchers to understand their real data needs.

JOB REQUIREMENT

· Minimum bachelor’s degree or diploma in the field of computer science, computer engineering, or other web programming intensive course. With expertise in at least one of the following areas: creating, maintaining, implementing APIs, front-end development, microservices architecture

· Possess minimum 2 - 3 years or more of relevant work experience.

· Ability to work independently to translate design templates and ideas into programs with efficient coding.

· Basic knowledge in data analytics and proficient in Python, Node.js, React, SQL

· Prior industry experience with engineering, financial services, healthcare is a plus.

· Able to deliver under tight schedule.

· Good team player with understanding of best practices and cybersecurity.

· Good interpersonal and communication skills.

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 to recruit a highly motivated Research Fellow/Research Scientist to support the institute’s overall Research and Innovation goals.

Job Description:

The Research Fellow/Research Scientist will be responsible for engineering novel CAR-NK cells with superior anti-tumor efficacy, enhanced tumor infiltration, and excellent resilience against the suppression by the tumor microenvironment.

Job Requirements:

• PhD in Immunology
• Possess at least a minimum of 2 years relevant work experience
• Substantial background and publication records in cancer immunology particularly on T and NK cells
• Experience working with patient-derived samples and experimental models
• Good organisational, verbal and interpersonal skills
• Exhibit ability in mentoring and lead the project

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 to recruit a highly motivated Research Fellow/Research Scientist to support the institute’s overall Research and Innovation goals.

Job Description:

The Research Fellow/Research Scientist will be responsible for engineering novel CAR-NK cells with superior anti-tumor efficacy, enhanced tumor infiltration, and excellent resilience against the suppression by the tumor microenvironment.

Job Requirements:

• PhD in Immunology
• Possess at least a minimum of 5 years relevant work experience
• Substantial background and publication records in cancer immunology particularly on T and NK cells
• Experience working with patient-derived samples and experimental models
• Good organisational, verbal and interpersonal skills
• Exhibit ability in mentoring and lead the project

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 to recruit a highly motivated Research Fellow/Research Scientist to support the institute’s overall Research and Innovation goals.

Job Description:

The Research Fellow/Research Scientist will be responsible for engineering novel CAR-NK cells with superior anti-tumor efficacy, enhanced tumor infiltration, and excellent resilience against the suppression by the tumor microenvironment.

Job Requirement:

• PhD in Immunology or Cell Biology
• Possess at least a minimum of 5 years relevant work experience
• Substantial background and publication records in cancer immunology, particularly on T and NK cells
• Experience working with patient-derived samples and experimental models
• Good organisational, verbal and interpersonal skills
• Exhibit ability in mentoring and leading the project

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 to recruit a highly motivated Research Fellow/Research Scientist to support the institute’s overall Research and Innovation goals.

Job Description:

The Research Fellow/Research Scientist will be responsible for engineering novel CAR-NK cells with superior anti-tumor efficacy, enhanced tumor infiltration, and excellent resilience against the suppression by the tumor microenvironment.

Job Requirement:

• PhD in Immunology or Cell Biology
• Possess at least a minimum of 2 years relevant work experience
• Substantial background and publication records in cancer immunology, particularly on T and NK cells
• Experience working with patient-derived samples and experimental models
• Good organisational, verbal and interpersonal skills
• Exhibit ability in mentoring and leading the project

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.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Sun, Ji in a research project on Structural Study of KCNQ1 Channel Pharmacology

The main responsibilities of the position include:

1. Cell culture
2. Daily lab operation like medium preparation
3. Molecular cloning
4. Protein purification
5. Other duties related to daily lab operation and equipment maintenance

Qualifications

M.S. in Biology, Biochemistry or Cell biology

Skills:

• Good communication skills
• Biochemistry: protein expression and purification
• Molecular biology: molecular cloning

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

About the Centre for Research in Health System Performance (CRiHSP)

Optimizing the performance of health systems is essential to ensuring the wellbeing and longevity of populations worldwide. Singapore is particularly well placed to lead research in this field as its health system has been consistently ranked as one of the best in the world based on independent evaluation with the Global Burden of Disease data. The new Centre for Research in Health Systems Performance (CRiHSP) aims to advance research in this area within the Yong Loo Lin School of Medicine of the National University of Singapore (NUS) as the leading centre for research in health systems in Asia with the following core functions:

1. Research: empirical and methodological research and evidence synthesis on health systems performance with a particular focus on Value Based Healthcare.
2. Health policy intelligence: health policy impact analysis aimed at policy makers, service providers, researchers, and the wider public.
3. Capacity building: formal postgraduate programme (from certificates to PhD), fellowships, mentoring, on-the- job and ad hoc training
4. Contributing to improving NUHS performance: expert advice on the development, implementation, and evaluation of flagship initiatives (including Healthier SG) aimed at making step changes in NUHS performance, and programme evaluation

The multidisciplinary team of researchers in health systems (health services and policy researchers, data scientists, social scientists, and others), and administrators working in CRiHSP will provide an exciting and dynamic place in which people of diverse backgrounds collaborate towards the common goal of achieving excellence in Health Systems Research. The team will further benefit from a significant expansion in related fields and collaborations with the Department of Family Medicine at the National University Health System (NUHS), the new Centre for Sustainable Medicine (CoSM) and the Centre for Behavioural and Implementation Sciences Interventions (BISI) at the School of Medicine and the Saw Swee Hock School of Public Health.

Duties and Responsibilities

About the role

The Research Associate will have the following duties:

• Contribution to the management of research activities including grant and IRB/DSRB applications, budgeting, planning and monitoring project timelines and generally support project management and coordination and liaising with internal and external stakeholders
• Conduct literature reviews, including collation and synthesis of the literature
• Support the design, data collection, psychometric analysis and interpretation of quantitative surveys
• Contribute to and lead (where appropriate) protocol, manuscript and report timely writing, editing and submission.
• Present work for feedback and dissemination at workshops or conferences locally and/or internationally

The post holder will be expected to be flexible in their role as the CRiHSP´s capacity evolves.

NUS offers highly competitive remuneration packages. The successful applicant will be offered an annual salary plus benefits commensurate with his or her qualifications, experience and expertise and may have access to travel support to disseminate research outcomes at international academic conferences.

The position is full-time for 1 year in the first instance, depending on project commitments and candidate’s career objectives.

Qualifications

Applicants will be evaluated based on the following selection criteria:

Qualifications

• Masters in Psychometrics or Statistics or in related discipline with emphasis in psychometrics

Experience

• Experience in planning, managing and implementing healthcare-related research projects, from conception to completion, in a University setting (essential)
• Demonstrated experience in conducting psychometric analysis using a range of methods (essential)
• Track record of publishing in international peer-reviewed journals (desirable)
• Researchers with experience in the use of Item Response Theory methods and Computerized Adaptative testing are particularly encouraged to apply

Qualifications

Skills and Personal Attributes

• Strong communication skills in English, both written and spoken (essential)
• Ability to work independently and as part of a multidisciplinary team (essential)
• Highly developed problem-solving skills and adept at managing complex problems (essential)
• Outcome-orientation with excellent organizational and project management skills, and attention to detail (essential)
• Ability to work with culturally diverse populations (essential)

Interested candidates should submit a detailed CV (personal particulars, academic and employment history, full list of publications, contacts details of three (3) referees) and cover letter outlining their motivation and suitability for the project addressing each of the criteria outlined above. Only shortlisted candidates will be notified. Applications will be considered on a rolling basis until a suitable candidate is found.

The application should include a CV and a cover letter that describes the applicant’s specific interest in joining the team. Only shortlisted candidates will be contacted.

Informal enquiries can be made to Prof Jose M Valderas at [email protected].

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

About the Centre for Research in Health Systems Performance (CRiHSP)

Optimizing the performance of health systems is essential to ensuring the wellbeing and longevity of populations worldwide. Singapore is particularly well placed to lead research in this field as its health system has been consistently ranked as one of the best in the world based on independent evaluation with the Global Burden of Disease data. The new Centre for Research in Health Systems Performance (CRiHSP) aims to advance research in this area within the Yong Loo Lin School of Medicine of the National University of Singapore (NUS) as the leading centre for research in health systems in Asia with the following core functions:

1. Research: empirical and methodological research and evidence synthesis on health systems performance with a particular focus on Value Based Healthcare.
2. Health policy intelligence: health policy impact analysis aimed at policy makers, service providers, researchers, and the wider public.
3. Capacity building: formal postgraduate programme (from certificates to PhD), fellowships, mentoring, on-the- job and ad hoc training
4. Contributing to improving NUHS performance: expert advice on the development, implementation, and evaluation of flagship initiatives (including Healthier SG) aimed at making step changes in NUHS performance, and programme evaluation

The multidisciplinary team of researchers in health systems (health services and policy researchers, data scientists, social scientists, and others), and administrators working in CRiHSP will provide an exciting and dynamic place in which people of diverse backgrounds collaborate towards the common goal of achieving excellence in Health Systems Research. The team will further benefit from a significant expansion in related fields and collaborations with the Department of family Medicine at the National University Health System (NUHS), the new Centre for Sustainable Medicine (CoSM) and the Centre for Behavioural and Implementation Sciences Interventions (BISI) at the School of Medicine and the Saw Swee Hock School of Public Health.

Duties and Responsibilities

The Research Associate will have the following duties:

• Contribution to the management of research activities including grant and IRB/DSRB applications, budgeting, planning and monitoring project timelines and generally support project management and coordination and liasing with internal and external stakeholders
• Conduct literature reviews, including collation and synthesis of the literature
• Conducting policy analysis: problem definition, data gathering, stakeholders identification, describe policies, assess alternatives, evaluate their impacts using qualitative and quantitative methods and develop clear recommendations in the for of policy briefs
• Contribute to and lead (where appropriate) protocol, manuscript and report timely writing, editing and submission.
• Present work for feedback and dissemination at workshops or conferences locally and/or internationally

The post holder will be expected to be flexible in their role as the CRiHSP´s capacity evolves.

NUS offers highly competitive remuneration packages. The successful applicant will be offered an annual salary plus benefits commensurate with his or her qualifications, experience and expertise and may have access to travel support to disseminate research outcomes at international academic conferences.

The position is full-time for 1 year in the first instance, depending on project commitments and candidate’s career objectives.

Qualifications

Applicants will be evaluated based on the following selection criteria:

Qualifications

• Masters in Life Sciences, Health & Social Sciences, with emphasis in Policy Analysis

Experience

• Experience in planning, managing and implementing healthcare-related research projects, from conception to completion, in a University setting (essential)
• Demonstrated experience in conducting policy analysis on range of topics and development of policy briefs for a range of stakeholders (essential)
• Track record of publishing in international peer-reviewed journals (desirable)
• Researchers with existing research activities related to policy analysis aimed at stakeholders in Asian countries are particularly encouraged to apply

Qualifications

Skills and Personal Attributes:

• Strong communication skills in English, both written and spoken (essential)
• Ability to work independently and as part of a multidisciplinary team (essential)
• Highly developed problem-solving skills and adept at managing complex problems (essential)
• Outcome-orientation with excellent organizational and project management skills, and attention to detail (essential)
• Ability to work with culturally diverse populations (essential)

Interested candidates should submit a detailed CV (personal particulars, academic and employment history, full list of publications, contacts details of three (3) referees) and cover letter outlining their motivation and suitability for the project addressing each of the criteria outlined above. Only shortlisted candidates will be notified. Applications will be considered on a rolling basis until a suitable candidate is found.

The application should include a CV and a cover letter that describes the applicant’s specific interest in joining the team. Only shortlisted candidates will be contacted.

Informal enquiries can be made to Prof Jose M Valderas at [email protected].

Job Description:

We are seeking an AI/ML expert to drive AI in drug discovery in the area of pharmacology and pharmacometrics, including PK/PD, in the Bioinformatics Institute (BII). The PI will build a research group in BII and collaborate closely with clinicians and researchers to drive this effort across Singapore. The PI is also expected to lead or participate in grant proposals and work with industry to translate new technologies developed.

Job Requirements:

• PhD in Bioinformatics, Computational Biology, Data Science, Computer Science, Mathematics, Engineering or a related field.
• Deep experience in AI/ML methodologies related to drug discovery and pharmacology.
• 5-10 years’ experience in the drug development process.
• Outstanding record in publications, patents or securing research funds, or substantial industry experience.
• Strong management skills in leading a research team, executing projects and working with multiple stakeholders.
• Consistent track record in delivering outcomes for AI /ML projects related to healthcare and pharmacology.
• Excellent communication skills

The Biological Resource Centre (BRC) is an AAALAC International accredited and bizSAFE Level 3 certified laboratory animal facility that provides high quality animal housing and animal support services. BRC is seeking an Associate (Administration) to join us to support the administrative duties.

Job Description

• Working closely with Finance and assist in billing of customers.
• Follow up with customers on overdue invoices.
• Communicate with customers/vendors via phone, email or personally and investigate and resolve customer queries.
• Performance of Good Receipt.
• Maintain and update booking system details when needed.
• Collation of information for Management.
• Assist with Management / Financial reporting.
• Preparation of presentation slides.
• Carry out other duties and tasks that may be assigned from time to time.

Job Requirements:

• Diploma in Business or Accountancy, or equivalent.
• Proficient in Microsoft Office (e.g. Outlook, Word, Excel, PowerPoint).
• Excellent interpersonal and communication skills, meticulous.
• Ability to break down tasks into deliverables and set realistic timelines for completion.
• Ability to work independently and collaboratively in teams.
• Excellent spoken & written communication skills.
• Knowledge of SAP system will be advantageous.

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 “Cellular Basis of Neural Diseases” laboratory in the Institute of Molecular and Cell Biology, A*STAR invites applications for a position as Senior Scientist I (Postdoctoral Research Fellow) in Cellular and Metabolic Therapies for Neurological Diseases.

The goal of the program is to derive clinically relevant neural cell types from induced pluripotent stem cells for development of novel therapies. This will be achieved through enhanced biological understanding of the disease progression and identification of new disease targets.

Interested candidates should have a PhD degree in Biomedical Sciences, Neuroscience, Stem Cells and Regenerative Biology or a relevant field. The ideal candidate should possess the following characteristics:

• Passionate and committed to advance the frontiers of Stem Cell/Neuroscience research
• Excellent communication skills (both written and oral)
• A team player who can perform well with colleagues as well as independently
• Proven track record of scientific research evidenced by strong publication record
• Experience with neural organoid cultures, as well as single cell RNA-seq analyses would be highly desirable
• Meticulous and organized

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

A Research Assistant position is available immediately in the Li-Ren Kong and Sanjay De Mel research team. The position is funded by a thematic grant under NUS Centre for Cancer Research (N2CR) to investigate the key drivers in multiple myeloma, with the eventual goal to develop a ex vivo screening model for drug development.

Duties & Responsibilities

Research:
- Handling and processing clinical samples for genomics and proteomics analyses, including the establishment of long-term culture models for in-depth molecular characterization and functional studies.
- Organize and document experimental results systematically.
- Analyse data and summarise findings for the research team.

Administrative duties:
- Assist with lab housekeeping and administrative duties as needed.
- To maintain the N2CR Avatar portal, including registering & updating new entries and keeping track of the usage of the portal.
- To assist with administrative or ad hoc duties under the N2CR organoid interest group.

Qualifications

- Bachelor’s or Master’s degree in molecular biology or cancer biology.
- Knowledge in cell culture and basic molecular biology techniques.
- Effective communication and presentation skills, with ability to work independently.
- Prior experience on handling human patient material or organoid culture is preferred.
- Experience in laboratory management is preferred but not essential.
- Ability to communicate fluently in written and spoken English

Interested applicants should include the following documents in the job application
1) Curriculum Vitae (CV)
2) Summary of past research experience
3) Description of long-term plans
4) 3 referees including their name, contact information (email) and relationship to applicant

Job Description

We are looking for a highly-motivated research scientist to work on exciting projects in Cybersecurity (AI for Cybersecurity). Need Strong programming skills and familiarity with Cybersecurity and Artificial Intelligence.

Successful candidates will have the opportunity to work with a world-class interdisciplinary team comprising malware, networking, cybersecurity, machine learning, and deep learning experts. Research scientist will also work closely with industry partners and interact with them to understand their real-world needs. The successful candidate will also engage in project scoping with industry companies to develop a solution to address cybersecurity enterprise application needs.

We are looking for candidates with the following key soft attributes:

• Ability to learn
• Willingness to learn
• Strong interest in cybersecurity domain

Job Requirement

• PhD degree in Computer Science, Computer Engineering, Information Technology or related fields, Knowledge or experience in cyber security, network security, system security using Artificial Intelligence
• Knowledge or experience in cybersecurity, network security, or system security using AI
• 2-3 years of working experience in related research areas is a plus
• Publications in top-tier security venues (IEEE S&P, NDSS, USENIX Security, ACM CCS) are expected
• Proficient with DL programing frameworks in Python
• Strong interest in AI for Cybersecurity
• Ability to work independently, as well as in teams - highly desired
• Ability and willingness to learn and adapt - highly desired
• Good team player with both research and engineering ethics
• Good interpersonal skills and communication skills for proposals, reports, and publications

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

We are seeking to recruit a highly motivated Research Fellow to investigate the rules in cancer antigen discovery, towards therapeutic and preventive therapy. Project involves mass spectrometry, immunology and computation. The ideal candidate need not specialise in all three aspects, but should be technically strong in at least one of these areas.

JOB REQUIREMENT

• Ph.D. in Immunology or Cell Biology or Biochemistry or Mass Spectrometry.
• Expertise in T-cell engineering highly preferred.
• Interested in data and computation.
• Solid publication record and strong scientific writing skills.
• Strong motivation and energy to lead project.
• Good organisational, verbal and interpersonal skills.
• Need to be a team player.
• Keen to learn

Job Description

The Research Fellow in Computational Immunology/Bioinformatics will play a key role in advancing our research projects by conducting expert analyses of next-generation sequencing (NGS) data. This includes single-cell RNA sequencing, T-/B-cell receptor analysis, long-read sequencing, and spatial omics analysis using imaging data. The fellow will have the opportunity to work alongside a multidisciplinary team of leading immunologists, oncologists, and AI scientists, contributing to pioneering research that utilizes diverse data types, ranging from cell lines to clinical samples. The position will leverage the fellow’s bioinformatics expertise to innovate and contribute to the development of effective T-cell epitopes for cancer vaccine design.

Job Responsibilities

• Perform advanced single-cell analyses to identify distinct cell phenotypes and interactions, elucidating the transcriptomic landscape that drives tumor progression and/or responses to treatments.
• Develop robust bioinformatics pipelines for analysing TCR and in-situ tumor-immune spatial organization using long-read sequencing and high-plex immunofluorescence data, respectively.
• Work collaboratively with an interdisciplinary team of biologists, clinicians, and AI scientists to contextualize findings within complex disease landscapes.
• Manage data curation and ensure the integrity and accessibility of datasets.
• Maintain up-to-date knowledge of bioinformatics methodologies and stay informed about new technologies and computational tools.
• Communicate findings through scientific publications, presentations, and reports for both academic and non-academic audiences.

Job Requirement

• PhD in Immunology, Bioinformatics, Computational Biology, Systems Biology, or a related field.
• Minimum of 5 years of relevant experience in omics data analysis.
• Proficient in programming languages such as R and Python, with extensive use of bioinformatics tools and public databases.
• Demonstrated expertise in statistical data analysis and the application of machine learning.
• Skilled in using data visualization tools and software.
• Knowledge of cancer immunology and molecular biology principles.
• Proven publication record in peer-reviewed journals within the bioinformatics field or related areas.
• Exceptional problem-solving skills, capable of working independently and collaboratively.
• Excellent verbal and written communication skills.
• Advanced programming skills in R and Python.
• Experience with server-based and high-performance computing environments.
• Experience in computational tool development.
• Expertise in managing and analyzing large datasets from various omics platforms.
• Experience in computer vision or image processing.

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 Research Fellow in Computational Immunology/Bioinformatics will play a key role in advancing our research projects by conducting expert analyses of next-generation sequencing (NGS) data. This includes single-cell RNA sequencing, T-/B-cell receptor analysis, long-read sequencing, and spatial omics analysis using imaging data. The fellow will have the opportunity to work alongside a multidisciplinary team of leading immunologists, oncologists, and AI scientists, contributing to pioneering research that utilizes diverse data types, ranging from cell lines to clinical samples. The position will leverage the fellow’s bioinformatics expertise to innovate and contribute to the development of effective T-cell epitopes for cancer vaccine design.

Job Responsibilities

• Perform advanced single-cell analyses to identify distinct cell phenotypes and interactions, elucidating the transcriptomic landscape that drives tumor progression and/or responses to treatments.
• Develop robust bioinformatics pipelines for analysing TCR and in-situ tumor-immune spatial organization using long-read sequencing and high-plex immunofluorescence data, respectively.
• Work collaboratively with an interdisciplinary team of biologists, clinicians, and AI scientists to contextualize findings within complex disease landscapes.
• Manage data curation and ensure the integrity and accessibility of datasets.
• Maintain up-to-date knowledge of bioinformatics methodologies and stay informed about new technologies and computational tools.
• Communicate findings through scientific publications, presentations, and reports for both academic and non-academic audiences.

Job Requirement

• PhD in Immunology, Bioinformatics, Computational Biology, Systems Biology, or a related field.
• Minimum of two years of relevant experience in omics data analysis.
• Proficient in programming languages such as R and Python, with extensive use of bioinformatics tools and public databases.
• Demonstrated expertise in statistical data analysis and the application of machine learning.
• Skilled in using data visualization tools and software.
• Knowledge of cancer immunology and molecular biology principles.
• Proven publication record in peer-reviewed journals within the bioinformatics field or related areas.
• Exceptional problem-solving skills, capable of working independently and collaboratively.
• Excellent verbal and written communication skills.
• Advanced programming skills in R and Python.
• Experience with server-based and high-performance computing environments.
• Experience in computational tool development.
• Expertise in managing and analyzing large datasets from various omics platforms.
• Experience in computer vision or image processing.

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

Sea group is seeking research scientists to join Sea AI Lab (SAIL). SAIL focuses on fundamental research and application research on Artificial Intelligence (AI), which include deep learning, machine learning, computer vision, etc. The role of a research scientist is to design novel models and propose new general-purpose algorithms that help machines perceive, think, and act in the world. The ideal candidate should have an enthusiasm in advancing the understanding of intelligence and a passion for ambitious breakthroughs in AI. To learn more about our research and our lab, please visit https://sail.sea.com/

• Conduct fundamental research on artificial intelligence problems, including but not limited to the understanding of (labelled and/or unlabelled) data from multiple modalities (image, video, text, audio, bio-data, etc); 3D computer vision; network architecture design; generative models; large-scale optimization;
• Research on long-term ambitious goals, while laying out intermediate milestones;
• Publish influential research work on top conferences and journals;
• Collaborate on large projects that are strategically prioritized by the SAIL.

Job Requirements

• Previous research experience in a university, industry, or government lab(s), in a role with primary emphasis on AI research;
• Holding a Ph.D. degree in computer science, statistics, applied mathematics, data science or other related disciplines;
• First-author publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL) and journals (e.g., TPAMI, JMLR, AIJ), or authored publications in CNS (Cell, Nature/Nature research journals, Science);
• Knowledge in one of the differentiable programming frameworks, e.g., PyTorch, TensorFlow, JAX;
• (Preferred) Track record of high impact research (e.g. multiple papers with 100+ citations);
• (Preferred) Received best paper or equivalent awards in the aforementioned conferences;
• (Preferred) Winner of international academic competitions.