OMOP Data Scientist, Biomedical Data Hub

Agency for Science, Technology and Research (A*STAR); Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

A leading research agency seeks an OMOP Data Scientist to onboard and manage datasets at the Biomedical Data Hub. The role involves implementing data management strategies and conducting advanced population-level analyses while ensuring data quality. A strong background in public health and data science is essential for success.

Qualifications

• Good programming skills in Python and R.
• Knowledge and experience with OHDSI OMOP framework.
• Ability to manage stakeholder communication.

Responsibilities

• On-board datasets into Biomedical Data Hub with adherence to information standards.
• Implement data management strategies and quality control audits.
• Perform advanced analytics using OMOP Common Data Model.

Skills

Programming skills (Python)

Programming skills (R)

Database knowledge (PostgreSQL)

Team player

Communication skills

Education

Bachelor/Master/PhD Degree in Public Health or related field

Tools

OHDSI OMOP framework

HDR UK CaRROT mapper

Job description

The Biomedical Data Hub (BDH) curates and maintains strategic deidentified health data cohorts and supports researchers and innovators with expertise in bioinformatics and A.I. Its mission is to act as a trusted research node that unlocks the value of digital health data to support cutting edge science and digital health solutions that will benefit Singapore and Singaporeans. BDH is a national initiative created by Singapore's Bioinformatics Institute and hosted by the Agency for Science Technology and Research (A*STAR) in partnership with Ministry of Health (MOH) Singapore and is funded by Singapore's National Research Foundation (NRF).

As an OMOP Data Scientist you are responsible for on-boarding datasets into Biomedical Data Hub. This could involve activities such as data clean-up, curation, transformation and ensuring adherence to minimum information standards for Biomedical Data Hub. Your leadership and influence skills will also be called upon to resolve non-technical challenges to data onboarding, including stakeholder management.

You may also be called upon to prepare data assets hosted at the Data Hub for analysis by researchers and innovators.

Responsibilities:

Implementation of OHDSI OMOP framework on the data assets hosted at Biomedical Data Hub.

Develop and implement data management strategies for standard Common Data Model, vocabulary/ontology, mapping tools, methods and documentation (HDR UK CaRROT mapper).

Develop and implement proactive quality control audits/quality management plans across datasets to ensure data mapping accuracies and completeness.

Perform advanced analytics atop the OMOP Common Data Model for population-level analyses and data visualizations (ATLAS, Strategus).

Requirement:

A Bachelor/Master/PhD Degree in Public Health, Data Science, Statistics, Computer Science, Artificial Intelligence or related field.

Good programming skills (Python, R) and database knowledge (PostgreSQL).

Knowledge/experience on OHDSI OMOP framework and regulatory data submissions.

Good team player and communication skills for collaborative research.