Total 31 data entry job vacancies in Singapore

Colorectal cancer (CRC) is the third most common cancer globally. Development of therapeutic strategies targeting novel cell types is the need of the hour for CRC treatment. We are looking for candidates keen on working at the intersection of cancer biology, imaging, spatial omics and computational biology to correlate results from cutting-edge technologies to clinical outcome of colorectal cancer (CRC). They should be comfortable working in a highly collaborative, multidisciplinary environment that includes biologists, imaging technologists, pathologists and medical oncologists. This will be a unique opportunity to work on new data types and ask new questions in the rapidly growing field of spatial multi-omics.

Requirements

• PhD (in final year or thesis submitted) in Life Sciences with expertise in cancer biology, immunology, or related fields
• Experience with analysis and interpretation of single-cell and spatial omics data
• Strong communication skills
• The ability to work closely with clinicians and computational biologists

To apply, please email your CV and names of references to [email protected], [email protected]

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

Job Description:
We are seeking for a highly motivated individual to take on the functional role that combines software engineering and Generative AI for data discovery and analytics environment building for strategic research datasets.

Job Responsibilities:

• Develop an interactive shopping cart from the metadata of strategic research datasets such as the Integrative Adolescence Research Programme (IARP).
• Develop and integrate a Generative AI assistant for question-answering capability of metadata and data visualisations.
• Implement an analytics environment, integrating of Qualtrics API event trigger and data lakehouse for research data analyses.

Job Requirements:

• A Bachelor/Master Degree in Public Health, Data Science, Statistics, Computer Science, Artificial Intelligence or related field.
• Good programming skills (React JS, Python).
• Experience with cloud-based Generative AI frameworks (Azure OpenAI, Azure AI Studio, Amazon Bedrock).
• Experience with multi-cloud data lakehouse implementations (Azure, AWS).
• Good team player and communication skills for collaborative research.
• 0 to 5 years' experience

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

Job Description:
We are seeking for a highly motivated individual to take on the functional role that combines software engineering and Generative AI for data discovery and analytics environment building for strategic research datasets.

Job Responsibilities:

• Develop an interactive shopping cart from the metadata of strategic research datasets such as the Integrative Adolescence Research Programme (IARP).
• Develop and integrate a Generative AI assistant for question-answering capability of metadata and data visualisations.
• Implement an analytics environment, integrating of Qualtrics API event trigger and data lakehouse for research data analyses.

Job Requirements:

• A Bachelor/Master Degree in Public Health, Data Science, Statistics, Computer Science, Artificial Intelligence or related field.
• Good programming skills (React JS, Python).
• Experience with cloud-based Generative AI frameworks (Azure OpenAI, Azure AI Studio, Amazon Bedrock).
• Experience with multi-cloud data lakehouse implementations (Azure, AWS).
• Good team player and communication skills for collaborative research.
• 0 to 5 years' experience

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

Job Description

We are seeking a highly motivated and detail-oriented candidate to lead the development and implementation of a data governance framework at A*STAR Institute for Human Development and Potential to ensure the quality, security, and compliance of research data across the Institute. The successful candidate will have expertise and experience in data governance, data management, and clinical research, as well as excellent leadership and communication skills.

Responsibilities:

1. Develop and implement a data governance framework that aligns with industry standards and regulatory requirements specific to Singapore, working with stakeholders to establish data policies, procedures, and standards.
2. Collaborate with research teams within and beyond IHDP to ensure data quality, security, and compliance with regulations such as PDPA (Singapore), GDPR(Europe) and ISO/IEC standards.
3. Conduct data risk assessments, data audits and develop mitigation strategies.
4. Ensure data privacy and security measures are in place.
5. Provide user assurance on compliance and security (e.g. MOH Solutions Review Board clearance, endorsed external audits).
6. Develop training programs to educate researchers and staff on data governance and data management best practices.
7. Stay up-to-date with changing regulations and industry standards, and advise the institute on data governance matters.
8. Collaborate with IT and Data Management team to ensure data systems and infrastructure support data governance requirements.
9. Monitor and report on data governance metrics and program effectiveness.

Requirements:

• Bachelor's / Master's degree in information systems, Data Management, Computer Science. Relevant fields will be considered.
• At least 5 years of experience in data governance, data management, or in a clinical research management setting.
• Proven leadership and project management skills.
• Excellent communication and interpersonal skills.
• Strong understanding of data governance principles, data management best practices, and clinical research regulations.
• Experience with data governance frameworks and standards (e.g., DCAM, ISO 27001, ISO 38505).
• Familiarity with data privacy and security regulations (e.g., PDPA, GDPR).
• Experience with data cataloguing and metadata management tools.
• Strong analytical and problem-solving skills.
• Relevant certifications in data management will be highly advantageous [Examples include Certified Data Management Professional (CDP), Certified Information Management Professional (CIMP), Certified Data Governance Professional (CDGP), Certified Data Quality Professional (CDQP)].

The Genome Research Informatics and Data Science Platform is looking for a full Stack Software Developer to design, build and operate software systems in support of Institute and hosted programs. Your primary responsibilities include FE and BE Software Development and to ensure compliance with standards and policies (A*STAR, ISO etc)

Requirements

• Bachelor/Master Degree in IT/Computer Science
• Experience in scientific software development and full stack software DevOps
• Possess skills in Javascript for FE and BE, Java and Python
• Knowledge in Containerization and Serverless on Cloud (e.g. AWS Lambda) would 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 Genome Research Informatics and Data Science Platform is looking for a full Stack Software Developer to design, build and operate software systems in support of Institute and hosted programs. Your primary responsibilities include FE and BE Software Development and to ensure compliance with standards and policies (A*STAR, ISO etc)

Requirements

• Bachelor/Master Degree in IT/Computer Science
• Experience in scientific software development and full stack software DevOps
• Possess skills in Javascript for FE and BE, Java and Python
• Knowledge in Containerization and Serverless on Cloud (e.g. AWS Lambda) would 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 A*STAR Institute for Human Development and Potential (A*STAR IHDP) focuses on research that aims to improve and impact the health and well-being of Singaporeans across the life course.

We are seeking a highly motivated Research Officer to join our Data Management Platform. This is a functional role that combines data archival and data cleaning for major population health studies conducted at the institute.

Job Description:

• Implementation of inventory management and tracking system for offsite archival of study source documents.
• Perform data reconciliations and digitalization of study source documents in hardcopy formats.
• Develop and implement data cleaning scripts to ensure good data quality.
• Generate inventory dashboards to effectively communicate the data archival and data cleaning status.

Job Requirements:

• A Bachelor/Master Degree in Public Health, Data Science, Statistics, Computer Science or related field.
• Good programming skills (Python, R).
• Familiar with Business Intelligence (BI) reporting tools such as Power BI.
• Knowledge/experience on Good Clinical Practice (GCP) and Good Clinical Data Management Practices (GCDMP) guidelines.
• Good team player and communication skills for collaborative research.
• 0 to 5 years' experience.

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

We are seeking a highly motivated Research Officer to join our Data Management Platform. This is a functional role that combines data archival and data cleaning for major population health studies conducted at the institute.

Job Description:

• Implementation of inventory management and tracking system for offsite archival of study source documents.
• Perform data reconciliations and digitalization of study source documents in hardcopy formats.
• Develop and implement data cleaning scripts to ensure good data quality.
• Generate inventory dashboards to effectively communicate the data archival and data cleaning status.

Job Requirements:

• A Bachelor/Master Degree in Public Health, Data Science, Statistics, Computer Science or related field.
• Good programming skills (Python, R).
• Familiar with Business Intelligence (BI) reporting tools such as Power BI.
• Knowledge/experience on Good Clinical Practice (GCP) and Good Clinical Data Management Practices (GCDMP) guidelines.
• Good team player and communication skills for collaborative research.
• 0 to 5 years' experience.

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 developing data platforms in BII Biomed DAR, integrating healthcare data including clinical and research data, for various diseases including cancer, metabolic diseases and skin diseases. We are seeking a computational scientist to develop analytical, statistical and machine learning methodologies and workflows for analysis and integration of large-scale multi-dimensional omics (bulk, single-cell, spatial), perturbation screens, imaging and clinical data) for these data platforms. The candidate is expected to drive data science research to uncover underlying diseases biology, druggable targets and develop personalized medicine approaches. This position offers the candidate an opportunity to work closely with a team of clinicians, wet-lab scientists and computational biologists. He/She is also expected to drive high impact publications and manage large-scale projects, include data management.

Requirements:

• PhD in Bioinformatics, Computational Biology, Data Science, Computer Science, Mathematics, Engineering or a related field with at least 5 years of relevant experience.
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps).
• Familiarity with Unix/Linux environment and cloud architecture (AWS).
• Experience in large-scale omics (bulk, single-cell, spatial) data analysis and/or AI/ML.
• A background in life sciences, biology or biomedical informatics is preferred.
• Knowledge in data standards and interoperability.
• 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 and data 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.

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 developing data platforms in BII Biomed DAR, integrating healthcare data including clinical and research data, for various diseases including cancer, metabolic diseases and skin diseases. We are seeking a computational scientist to develop analytical, statistical and machine learning methodologies and workflows for analysis and integration of large-scale multi-dimensional omics (bulk, single-cell, spatial), perturbation screens, imaging and clinical data) for these data platforms. The candidate is expected to drive data science research to uncover underlying diseases biology, druggable targets and develop personalized medicine approaches. This position offers the candidate an opportunity to work closely with a team of clinicians, wet-lab scientists and computational biologists. He/She is also expected to drive high impact publications and manage large-scale projects, include data management.

Requirements:

• PhD in Bioinformatics, Computational Biology, Data Science, Computer Science, Mathematics, Engineering or a related field.
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps).
• Familiarity with Unix/Linux environment and cloud architecture (AWS).
• Experience in large-scale omics (bulk, single-cell, spatial) data analysis and/or AI/ML.
• A background in life sciences, biology or biomedical informatics is preferred.
• Knowledge in data standards and interoperability.
• 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 and data 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.

Humans are diverse, and this diversity influences the properties of our cells, as well as our developmental processes, and disease mechanisms, diagnoses, and treatments. The impact of population-specific genetic variation on disease risk and healthcare is widely appreciated, and this can contribute to health disparities. To build a single cell reference atlas suitable for diverse population groups, we seek to characterise the impact of genes and environment on molecular traits in cells from diverse individuals across the globe. Specifically, we aim to uncover the influence of genetics, ancestry, age and sex on human phenotypes in health and disease.

We are looking for team members who will develop cutting-edge AI/machine learning methods and pipelines to integrate and interrogate gene expression and regulatory profiles of >10 million cells from thousands of donors. Your work will help establish a healthy immune baseline for disease comparisons, and craft and curate atlases of human cells that will transform our understanding of human biology. Successful candidates for this position will have the opportunity to collaborate with, learn from, and contribute to teams across the world studying diverse donors and tissues, including the Human Cell Atlas bionetworks.

Requirements:

• PhD with experience in computational biology
• Mathematical sophistication
• Programming skills in R/Python
• Strong communication skills
• Post-doctoral candidates should have a strong track record, including impactful publications

To apply, please e-mail your CV and names of references to: [email protected], [email protected]

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.

Humans are diverse, and this diversity influences the properties of our cells, as well as our developmental processes, and disease mechanisms, diagnoses, and treatments. The impact of population-specific genetic variation on disease risk and healthcare is widely appreciated, and this can contribute to health disparities. To build a single cell reference atlas suitable for diverse population groups, we seek to characterise the impact of genes and environment on molecular traits in cells from diverse individuals across the globe. Specifically, we aim to uncover the influence of genetics, ancestry, age and sex on human phenotypes in health and disease.

We are looking for team members who will develop cutting-edge AI/machine learning methods and pipelines to integrate and interrogate gene expression and regulatory profiles of >10 million cells from thousands of donors. Your work will help establish a healthy immune baseline for disease comparisons, and craft and curate atlases of human cells that will transform our understanding of human biology. Successful candidates for this position will have the opportunity to collaborate with, learn from, and contribute to teams across the world studying diverse donors and tissues, including the Human Cell Atlas bionetworks.

Requirements:

• PhD with experience in computational biology
• Mathematical sophistication
• Programming skills in R/Python
• Strong communication skills
• Post-doctoral candidates should have a strong track record, including impactful publications

To apply, please e-mail your CV and names of references to: [email protected], [email protected]

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.

Lab Website: https://sites.google.com/view/singaporepharmacometrics/

Correspondence: [email protected], [email protected]

Description:

We are the Research Data Integration group, at Bioinformatics Institute, A*STAR.

We are looking for a research officer to assist with various projects in the lab related to big data in precision medicine through the use of data science tools such as machine learning and pharmacokinetic/pharmacodynamic (PK/PD) modeling. The research officer will be expected to perform bioinformatics-related tasks, such as multi-omics analysis, compile and manage databases, and execute basic PK/PD models and analysis in R. On the job training will be provided for pharmacometrics expertise, a highly sought after skill in the field of drug development.

Responsibilities:

• Provide technical and dry-lab support to the team’s research activities.
• Assist with hands-on experiments and operations including immunofluorescent imaging and blood sampling for PK analysis.
• Follow analytic procedures and instrumental operation guidelines, plan and execute experiments independently.
• Perform data collection and analysis, present progress reports, and manage research data and notes.
• Maintain lab inventory and procurement of laboratory consumables.
• Engage in literature review and research discussion.
• Assist the team with the maintenance of smooth and safe operation in the working environment.
• Ensure project deliverables are met in a timely manner and to the highest standard.

Requirements:

• Degree in Pharmaceutical Science, Life Science, computer science, chemical engineering, or pharmacy-related discipline.
• Basic data wrangling skills in R.
• Good understanding of pharmacology concepts
• Familiarity with PK analysis software such as Monolix, WinNonlin and/or NONMEM is a plus.
• Minimum one-year data science research experience required.
• Good organizational skills and ability to multitask.
• Highly motivated, keen to learn and committed to laboratory work.
• Able to work independently and as part of a team.
• Good communication (verbal and written) and presentation 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.

Lab Website: https://sites.google.com/view/singaporepharmacometrics/

Correspondence: [email protected], [email protected]

Description:

We are the Research Data Integration group, at Bioinformatics Institute, A*STAR.

We are looking for a research officer to assist with various projects in the lab related to big data in precision medicine through the use of data science tools such as machine learning and pharmacokinetic/pharmacodynamic (PK/PD) modeling. The research officer will be expected to perform bioinformatics-related tasks, such as multi-omics analysis, compile and manage databases, and execute basic PK/PD models and analysis in R. On the job training will be provided for pharmacometrics expertise, a highly sought after skill in the field of drug development.

Responsibilities:

• Provide technical and dry-lab support to the team’s research activities.
• Assist with hands-on experiments and operations including immunofluorescent imaging and blood sampling for PK analysis.
• Follow analytic procedures and instrumental operation guidelines, plan and execute experiments independently.
• Perform data collection and analysis, present progress reports, and manage research data and notes.
• Maintain lab inventory and procurement of laboratory consumables.
• Engage in literature review and research discussion.
• Assist the team with the maintenance of smooth and safe operation in the working environment.
• Ensure project deliverables are met in a timely manner and to the highest standard.

Requirements:

• Degree in Pharmaceutical Science, Life Science, computer science, chemical engineering, or pharmacy-related discipline.
• Basic data wrangling skills in R.
• Good understanding of pharmacology concepts
• Familiarity with PK analysis software such as Monolix, WinNonlin and/or NONMEM is a plus.
• Minimum one-year data science research experience required.
• Good organizational skills and ability to multitask.
• Highly motivated, keen to learn and committed to laboratory work.
• Able to work independently and as part of a team.
• Good communication (verbal and written) and presentation 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.

Bioinformatics Specialists: Machine Learning and Genome Data Analytics (Genome Institute of Singapore

We are looking for smart, motivated machine learning and data analytics researchers who can contribute to the development of new methods for understanding and diagnosing cancer. The candidate should have strong mathematical intuition and programming skills, and be comfortable working in a highly collaborative multidisciplinary environment that includes biologists, pathologists and medical oncologists. This will be a unique opportunity to learn cutting edge data analytics and computational biology techniques in the rapidly growing field of spatial omics.

Requirements

1. Bachelor’s or Master’s degree in Bioinformatics, Computational Biology, Data Science, or a related field

2. High proficiency in scripting language (Perl, Python and statistical languages such as R, particularly in the use of packages such as Bioconducter or Biopython)

3. Additional programming skills in Java or C++ will be useful and candidate should be experienced working in Unix environments with computing clusters/servers

4. A strong background and course work in statistics, computer science and data science is preferable

To apply, please email your CV and names of references to [email protected], [email protected]

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.

PhD and Postdoctoral positions in single cell algorithms and data analytics: Analysis of Human diversity in the Human Cell Atlas (HCA)

Humans are diverse, and this diversity influences the properties of our cells, as well as our developmental processes, and disease mechanisms, diagnoses, and treatments. The impact of population-specific genetic variation on disease risk and healthcare is widely appreciated, and this can contribute to health disparities. To build a single cell reference atlas suitable for diverse population groups, we seek to characterise the impact of genes and environment on molecular traits in cells from diverse individuals across the globe. Specifically, we aim to uncover the influence of genetics, ancestry, age and sex on human phenotypes in health and disease.

We are looking for team members who will develop cutting-edge AI/machine learning methods and pipelines to integrate and interrogate gene expression and regulatory profiles of >10 million cells from thousands of donors. Your work will help establish a healthy immune baseline for disease comparisons, and craft and curate atlases of human cells that will transform our understanding of human biology. Successful candidates for this position will have the opportunity to collaborate with, learn from, and contribute to teams across the world studying diverse donors and tissues, including the Human Cell Atlas bionetworks.

Requirements:

• Experience in computational biology
• Mathematical sophistication
• Programming skills in R/Python
• Strong communication skills
• Post-doctoral candidates should have a strong track record, including impactful publications

To apply, please e-mail your CV and names of references to: [email protected], [email protected]

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.

Bioinformatics Specialists: Machine Learning and Genome Data Analytics (Genome Institute of Singapore

We are looking for smart, motivated machine learning and data analytics researchers who can contribute to the development of new methods for understanding and diagnosing cancer. The candidate should have strong mathematical intuition and programming skills, and be comfortable working in a highly collaborative multidisciplinary environment that includes biologists, pathologists and medical oncologists. This will be a unique opportunity to learn cutting edge data analytics and computational biology techniques in the rapidly growing field of spatial omics.

Requirements

1. Bachelor’s or Master’s degree in Bioinformatics, Computational Biology, Data Science, or a related field

2. High proficiency in scripting language (Perl, Python and statistical languages such as R, particularly in the use of packages such as Bioconducter or Biopython)

3. Additional programming skills in Java or C++ will be useful and candidate should be experienced working in Unix environments with computing clusters/servers

4. A strong background and course work in statistics, computer science and data science is preferable

To apply, please email your CV and names of references to [email protected], [email protected]

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 Summary:

Support with the data management and data analytics deliverables for Project RESET population health study (data collection, data monitoring, multi-modal data integration, data curation, data analytics and AI).

Job Responsibilities

• Implementation of effective data management processes across the clinical, multi-Omics and wearables data in Project RESET’s hybrid AWS cloud environment.
• Develop data management strategies for digital health technologies, ensuring the collection, integration and analysis of high-quality and reliable data.
• Develop and implement proactive quality control audits/quality management plans across longitudinal visits to ensure data accuracy, completeness and proper usage of data management systems.
• Develop and implement data models to identify patterns, correlations and predictive insights to assess patient risk stratification and disease progression.

Job Requirements

• A Bachelor/Master Degree in Public Health, Data Science, Statistics, Mathematics, Computer Science or related field.
• Good programming skills (Python, R, PyTorch, High Performance Computing solutions).
• Experience with advanced computational methods such as deep learning and graph neural networks for population health analytics.
• Knowledge/experience on Good Clinical Practice (GCP), Good Clinical Data Management Practices (GCDMP) guidelines and research data management.
• Good team player and communication skills for collaborative research.
• 0 - 3 years’ experience.

Job Summary:

Support with the data management and data analytics deliverables for Project RESET population health study (data collection, data monitoring, multi-modal data integration, data curation, data analytics and AI).

Job Responsibilities

• Implementation of effective data management processes across the clinical, multi-Omics and wearables data in Project RESET’s hybrid AWS cloud environment.
• Develop data management strategies for digital health technologies, ensuring the collection, integration and analysis of high-quality and reliable data.
• Develop and implement proactive quality control audits/quality management plans across longitudinal visits to ensure data accuracy, completeness and proper usage of data management systems.
• Develop and implement data models to identify patterns, correlations and predictive insights to assess patient risk stratification and disease progression.

Job Requirements

• A Bachelor/Master Degree in Public Health, Data Science, Statistics, Mathematics, Computer Science or related field.
• Good programming skills (Python, R, PyTorch, High Performance Computing solutions).
• Experience with advanced computational methods such as deep learning and graph neural networks for population health analytics.
• Knowledge/experience on Good Clinical Practice (GCP), Good Clinical Data Management Practices (GCDMP) guidelines and research data management.
• Good team player and communication skills for collaborative research.
• 0 - 3 years’ experience.

The Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STR) is seeking outstanding faculties in clinical data science research.

The Bioinformatics Institute (BII) is a computational biology research and postgraduate training institute as well as a national resource centre in bioinformatics within the Biomedical Research Council (BMRC) of A*STAR. Our scientists aim to understand the biomolecular mechanisms that underlie biomedical phenomena by developing sophisticated computational methods to support discovery from a secure and sustainable data hub to cross-disciplinary AI/ML analysis and data integration. We analyse a wide spectrum of biological and clinical data, including omics data (biomolecular sequences, expression profiles, epigenetics data), 3D structures of macromolecules, and biological tissue and macroscopic images from local and international academic, hospital and industry collaborators, public resources and also from in-house efforts. The institute has a vibrant and diverse research portfolio that includes infectious diseases, computational toxicology, precision medicine, oncology and drug discovery.

Watch the videos of BII Scientific Conference 2022 to know more about the research by different groups in BII.

https://www.youtube.com/playlist?list=PLcenRySmzqv76JVbdzg3z5kndDHN3FzBk

Job scope and responsibilities:

1. Heading a laboratory specializing in either one of the following:

a. Quantum Computing for biomedical applications

b. Clinical data hub and clinical data analysis

c. AI and generative models in healthcare applications (e.g. synthetic data)

d. AI in drug discovery

2. Collaborate closely with clinicians and with faculties within the Bioinformatics Institute and within the local ecosystem.

3. Collaborate with industrial partners to translate technologies into the clinics.

4. Lead or participate in research grant proposals (~SGD5million to SGD15million quantum).

Requirements:

· Outstanding research outcomes with strong publication records

· Excellent communication (oral and written) and public speaking skills

· Strong records of strategic thinking ability

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.

Lab Website: https://sites.google.com/view/singaporepharmacometrics/

Correspondence: [email protected], [email protected]

Description:

We are the Research Data Integration group, at Bioinformatics Institute, A*STAR.

We are looking for a research officer to assist with various projects in the lab related to big data in precision medicine through the use of data science tools such as machine learning and pharmacokinetic/pharmacodynamic (PK/PD) modeling. The research officer will be expected to perform bioinformatics-related tasks, such as multi-omics analysis, compile and manage databases, and execute basic PK/PD models and analysis in R. On the job training will be provided for pharmacometrics expertise, a highly sought after skill in the field of drug development.

Responsibilities:

• Provide technical and dry-lab support to the team’s research activities.
• Assist with hands-on experiments and operations including immunofluorescent imaging and blood sampling for PK analysis.
• Follow analytic procedures and instrumental operation guidelines, plan and execute experiments independently.
• Perform data collection and analysis, present progress reports, and manage research data and notes.
• Maintain lab inventory and procurement of laboratory consumables.
• Engage in literature review and research discussion.
• Assist the team with the maintenance of smooth and safe operation in the working environment.
• Ensure project deliverables are met in a timely manner and to the highest standard.

Requirements:

• Degree in Pharmaceutical Science, Life Science, computer science, chemical engineering, or pharmacy-related discipline.
• Basic data wrangling skills in R.
• Good understanding of pharmacology concepts
• Familiarity with PK analysis software such as Monolix, WinNonlin and/or NONMEM is a plus.
• Minimum one-year data science research experience required.
• Good organizational skills and ability to multitask.
• Highly motivated, keen to learn and committed to laboratory work.
• Able to work independently and as part of a team.
• Good communication (verbal and written) and presentation 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.

Lab Website: https://sites.google.com/view/singaporepharmacometrics/

Correspondence: [email protected], [email protected]

Description:

We are the Research Data Integration group, at Bioinformatics Institute, A*STAR.

We are looking for a research officer to assist with various projects in the lab related to big data in precision medicine through the use of data science tools such as machine learning and pharmacokinetic/pharmacodynamic (PK/PD) modeling. The research officer will be expected to perform bioinformatics-related tasks, such as multi-omics analysis, compile and manage databases, and execute basic PK/PD models and analysis in R. On the job training will be provided for pharmacometrics expertise, a highly sought after skill in the field of drug development.

Responsibilities:

• Provide technical and dry-lab support to the team’s research activities.
• Assist with hands-on experiments and operations including immunofluorescent imaging and blood sampling for PK analysis.
• Follow analytic procedures and instrumental operation guidelines, plan and execute experiments independently.
• Perform data collection and analysis, present progress reports, and manage research data and notes.
• Maintain lab inventory and procurement of laboratory consumables.
• Engage in literature review and research discussion.
• Assist the team with the maintenance of smooth and safe operation in the working environment.
• Ensure project deliverables are met in a timely manner and to the highest standard.

Requirements:

• Degree in Pharmaceutical Science, Life Science, computer science, chemical engineering, or pharmacy-related discipline.
• Basic data wrangling skills in R.
• Good understanding of pharmacology concepts
• Familiarity with PK analysis software such as Monolix, WinNonlin and/or NONMEM is a plus.
• Minimum one-year data science research experience required.
• Good organizational skills and ability to multitask.
• Highly motivated, keen to learn and committed to laboratory work.
• Able to work independently and as part of a team.
• Good communication (verbal and written) and presentation 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.

Lab Website: https://sites.google.com/view/singaporepharmacometrics/

Correspondence: [email protected], [email protected]

Description:

We are the Research Data Integration group, at Bioinformatics Institute, A*STAR.

We are looking for a research officer to assist with various projects in the lab related to big data in precision medicine through the use of data science tools such as machine learning and pharmacokinetic/pharmacodynamic (PK/PD) modeling. The research officer will be expected to perform bioinformatics-related tasks, such as multi-omics analysis, compile and manage databases, and execute basic PK/PD models and analysis in R. On the job training will be provided for pharmacometrics expertise, a highly sought after skill in the field of drug development.

Responsibilities:

• Provide technical and dry-lab support to the team’s research activities.
• Assist with hands-on experiments and operations including immunofluorescent imaging and blood sampling for PK analysis.
• Follow analytic procedures and instrumental operation guidelines, plan and execute experiments independently.
• Perform data collection and analysis, present progress reports, and manage research data and notes.
• Maintain lab inventory and procurement of laboratory consumables.
• Engage in literature review and research discussion.
• Assist the team with the maintenance of smooth and safe operation in the working environment.
• Ensure project deliverables are met in a timely manner and to the highest standard.

Requirements:

• Degree in Pharmaceutical Science, Life Science, computer science, chemical engineering, or pharmacy-related discipline.
• At least 5 years of relevant experience
• Basic data wrangling skills in R.
• Good understanding of pharmacology concepts
• Familiarity with PK analysis software such as Monolix, WinNonlin and/or NONMEM is a plus.
• Minimum one-year data science research experience required.
• Good organizational skills and ability to multitask.
• Highly motivated, keen to learn and committed to laboratory work.
• Able to work independently and as part of a team.
• Good communication (verbal and written) and presentation 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.

A*STAR is an Accredited Training Organisation (ATO) that has been certified by the Singapore Accountancy Commission (SAC) to possess the appropriate standards of staff training, accountancy resources and development for Singapore CA Qualification candidates to fulfil their Practical Experience required to qualify as a Chartered Accountant of Singapore.

Job Description

1. Create and maintain SAP master data for grants and funds (e.g. fund, cost centre, WBS) for A*STAR research and supporting entities timely upon request from stakeholders.

2. Check supporting documents provided to ensure information contained is complete and in accordance with the overall data schema.

3. Liaise with stakeholders to resolve any discrepancies.

4. Perform closing of project codes timely as per SOP, and any re-opening as required to facilitate operations.

5. Perform regular checks on newly created master data, flag exceptions for follow-up and resolution.

6. Ensure grants documentations are well organised and maintained (e.g. Letter of Awards, variation approvals).

7. Perform month end module closure in SAP.

8. Any ad-hoc tasks as required.

Job Requirements

• Qualifications in Accountancy or Finance with 3 to 5 years of relevant experience. Candidates without experience, but display good aptitude may be considered.

• Good command of MS Office application.

• Meticulous, organised and possess good communication skills.

• Knowledge of SAP and BI reporting tools will be advantageous.

The Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STR) is seeking outstanding faculties in clinical data science research.

The Bioinformatics Institute (BII) is a computational biology research and postgraduate training institute as well as a national resource centre in bioinformatics within the Biomedical Research Council (BMRC) of A*STAR. Our scientists aim to understand the biomolecular mechanisms that underlie biomedical phenomena by developing sophisticated computational methods to support discovery from a secure and sustainable data hub to cross-disciplinary AI/ML analysis and data integration. We analyse a wide spectrum of biological and clinical data, including omics data (biomolecular sequences, expression profiles, epigenetics data), 3D structures of macromolecules, and biological tissue and macroscopic images from local and international academic, hospital and industry collaborators, public resources and also from in-house efforts. The institute has a vibrant and diverse research portfolio that includes infectious diseases, computational toxicology, precision medicine, oncology and drug discovery.

Watch the videos of BII Scientific Conference 2022 to know more about the research by different groups in BII.

https://www.youtube.com/playlist?list=PLcenRySmzqv76JVbdzg3z5kndDHN3FzBk

Job scope and responsibilities:

1. Heading a laboratory specializing in either one of the following:

a. Quantum Computing for biomedical applications

b. Clinical data hub and clinical data analysis

c. AI and generative models in healthcare applications (e.g. synthetic data)

d. AI in drug discovery

2. Collaborate closely with clinicians and with faculties within the Bioinformatics Institute and within the local ecosystem.

3. Collaborate with industrial partners to translate technologies into the clinics.

4. Lead or participate in research grant proposals (~SGD5million to SGD15million quantum).

Requirements:

· Outstanding research outcomes with strong publication records

· Excellent communication (oral and written) and public speaking skills

· Strong records of strategic thinking ability

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.