Senior Clinical Data Scientist

  • Published on 06/03/2026
  • Panipat (075)
  • To be defined

Description:


About the Company



Data Scientist - Data and analytics - SENIOR



About the Role



Execute exploratory and confirmatory analyses on clinical trial and real-world datasets to inform clinical strategy and trial design.



Responsibilities



  • 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.



Qualifications



  • 3โ€“5 years of hands-on experience working with clinical trial and/or real-world clinical datasets (EHRs, registries, claims).



Required Skills



  • 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.



Pay range and compensation package



[Pay range or salary or compensation]



Equal Opportunity Statement



[Include a statement on commitment to diversity and inclusivity.]


The processing of personal data received will be carried out in accordance with applicable laws, including the UK General Data Protection Regulation (UK GDPR) and the Data Protection Act 2018.