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Clinical Data Scientist - RWD / Advanced Analytics
💻 Ework Group - founded in 2000, listed on Nasdaq Stockholm, with around 13,000 independent professionals on assignment - we are the total talent solutions provider who partners with clients, in both the private and public sector, and professionals to create sustainable talent supply chains.
With a focus on IT/OT, R&D, Engineering and Business Development, we deliver sustainable value through a holistic and independent approach to total talent management.
By providing comprehensive talent solutions, combined with vast industry experience and excellence in execution, we form successful collaborations. We bridge clients and partners & professionals throughout the talent supply chain, for the benefit of individuals, organizations and society.
🔹 For our Client we are looking for Clinical Data Scientist - RWD / Advanced Analytics🔹
We are seeking a highly skilled Clinical Data Scientist to join FounData as a full-time consultant. You will combine deep clinical data expertise with pragmatic data engineering and analytic skills to generate actionable insights that inform clinical strategy and trial design. You will collaborate closely with clinical SMEs, biostatisticians, data scientists, medical experts, and engineers.
✔️ 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
✔️Mandatory Skills:
- 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
✔️ We offer:
- B2B agreement
- Transparent working conditions with both Ework and the client
- Current support during our cooperation
- Possibility to work in an international environment
- Collaborative environment in Swedish organizational culture
- Private medical care
- Life insurance
- Multisport
- Teambuilding events
Contact person: katarzyna.borczyk@eworkgroup.com
Client code: HNN01
Do you know someone who would fit this position? Recommend a candidate by sending her/his CV to: polecenia@eworkgroup.com
- Locations: Remote
- Technologies: Machine Learning, Python, R, SQL
- Language: English