Data Scientist II, Real World Evidence (RWE), Pharma R&D
仕事内容
Lead observational Real World Evidence studies in oncology using real-world clinical data to address trial design and outcomes research.
Derive complex endpoints, apply time-to-event/survival analyses, and implement causal inference methods.
Leverage AI tools and LLM-based workflows to accelerate coding, documentation, discovery, and insight generation.
Collaborate with pharma partners and cross-functional teams to translate data findings into actionable insights for decision-makers.
Ensure rigorous methodology, maintain reusable code and internal packages, and uphold software engineering practices.
Communicate results clearly to technical and non-technical stakeholders; preferred experience in oncology, genomics, and clinical trials.
Derive complex endpoints, apply time-to-event/survival analyses, and implement causal inference methods.
Leverage AI tools and LLM-based workflows to accelerate coding, documentation, discovery, and insight generation.
Collaborate with pharma partners and cross-functional teams to translate data findings into actionable insights for decision-makers.
Ensure rigorous methodology, maintain reusable code and internal packages, and uphold software engineering practices.
Communicate results clearly to technical and non-technical stakeholders; preferred experience in oncology, genomics, and clinical trials.
求人の全文を見る
業務内容、求める人物像、スキル、待遇 — 無料アカウントの作成で閲覧できます。
または
すでにアカウントをお持ちですか？
ログイン類似の求人
あなたに合いそうな他の職種。