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Senior Data Scientist - Healthcare

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. 

Job Overview

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.

Required skills and qualifications

• 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.

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.
Make it real | www.capgemini.com
Ref. code:  512864
Posted on:  Jul 12, 2026
Experience Level:  Experienced Professionals
Contract Type:  Permanent
Location: 

Cairo, EG

Brand:  Capgemini
Professional Community:  Data & AI

Apply now »