Description

Key responsibilities

• Execute exploratory and confirmatory analyses on clinical trial and real-world datasets

to inform clinical strategy and trial design.

• Design and implement complex data analysis plans and translate analyses into clear,

actionable recommendations for clinical and product stakeholders.

• Rapidly prototype Minimum Viable Products (MVPs) and analytical workflows using

agile practices and DevOps principles to iterate with users.

• Define cohorts, design subpopulation analyses, and perform robust quality assurance

on outcomes and derived datasets.

• Ensure clinical concepts are correctly represented and harmonized across data

models (CDISC SDTM/ADaM, OMOP, HL7); contribute to mapping and transformation

logic.

• Produce reproducible code and well-documented workflows in Python, R and

SQL; collaborate with engineering to operationalize analyses on Databricks or similar

platforms.

• Present findings and recommendations to stakeholders with clarity, tailoring

communications to varying levels of data literacy.

Skill/Experience/Education

• 3–5 years of hands-on experience working with clinical trial and/or real-world clinical

datasets (EHRs, registries, claims).

• Strong applied experience in data analysis, and reporting using Python, R and SQL;

production-ready, reproducible and documented code.

• Experience with Statistical Modeling, Machine Learning and Deep Learning.

• Familiarity with clinical data standards and transformations: CDISC (SDTM, ADaM),

OMOP, and HL7.

• Experience with data standards mapping, CDISC implementations, or clinical trial

design/operations.

• Experience with GitHub and Databricks or similar enterprise data platforms for

scalable analytics and collaboration.

• Demonstrable experience defining cohorts, performing subpopulation/stratified

analyses, and establishing QA checks for analytical outputs.

• Confortable working with imperfect, heterogeneous clinical data and pragmatic about

delivering timely, high-quality insights.

• Strong problem-solving skills, critical thinking, and meticulous attention to detail.

• Excellent verbal and written communication skills; able to convey complex analyses to

clinical, technical, and product audiences.

• Results-oriented with strong ownership, learning agility, and collaborative mindset

Key Skills

Education

Bachelor's degree