Senior Data Scientist
Core
Design and build sophisticated ML/AI solutions and conduct statistical analyses on clinical datasets to address clinical development challenges and translate data into actionable insights.
Role type
Senior individual contributor data scientist (clinical development)
Builds
Predictive modeling solutions, AI/GenAI-powered workflows, and data analytics pipelines for clinical trials and real-world evidence.
Domain
Biopharma / Clinical Development
Deliverable
production ML models
Required skills
Python, PySpark, R, statistical analysis, survival analysis, experimental design, MLOps, GitOps, cloud platforms (AWS/Azure), big data (Spark), version control (Git), LLMs, RAG frameworks, Agentic AI, prompt engineering
Preferred skills
React, front-end development, model explainability (XAI), HIPAA compliance, open-source contributions
Technologies
Kedro, Dagster, Airflow, LangChain, AutoGen, LlamaIndex, OpenAI Agents, GitHub, AWS, Azure, Spark
Responsibilities
Design, develop, and deploy predictive modeling and data science solutions; Conduct rigorous statistical investigations and exploratory data analysis across clinical datasets; Translate ambiguous scientific problems into structured analytical frameworks; Build and maintain data and analytics pipelines; Partner with engineering teams on data quality and scalability; Design and implement AI/GenAI-powered solutions to augment clinical workflows; Collaborate with clinical and medical stakeholders to define objectives and align on KPIs; Present analytical findings and recommendations to cross-functional teams; Apply MLOps and GitOps practices to ensure model versioning and documentation; Support junior data scientists with technical guidance and code review.
Seniority
Senior, hands-on IC
