Related skills
r python mlops sas langchain📋 Description
- Deliver high-quality statistical analyses and AI interfaces.
- Design, analyze, and report Phase II–IV trials; adaptive designs.
- Lead or co-statistician on NDA/BLA/MAA submissions.
- AI interface setup: SAS/R/Python to LLM APIs, RAG pipelines.
- Maintain MLOps pipelines in a GxP-compliant, audit-ready framework.
- Stay current with FDA/EMA/ICH guidance and real-world evidence.
🎯 Requirements
- PhD or Master’s in Biostatistics, Statistics, CS, AI, or related field.
- Track A: 5+ years (PhD) or 7+ years (Master’s) pharma biostatistics.
- Expert SAS and/or R; working knowledge of Python.
- AI/ML tools exposure: LLM APIs, prompt engineering; GxP.
- CDISC SDTM/ADaM/Define-XML and regulatory submission workflows.
- Track B: 3+ years AI/ML engineering (LLMs, LangChain/RAG, MLOps).
- Strong communication and cross-functional collaboration.
🎁 Benefits
- Health: Comprehensive health care with 100% premiums covered for you and dependents.
- 401K with 100% employer match on first 3% and 50% on next 2%.
- Employee Stock Purchase Program (ESPP).
- Hybrid work model with flexible paid time off.
- Paid parental leave: 4 months for birthing, 2 months for non-birthing.
- Subsidized lunch on in-office days and pre-tax commuter benefits.
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