Requirements
- Master’s or PhD in Biomedical Engineering, Biostatistics, Bioinformatics, Computer Science, Data Science, or related fields.
- 3+ years of combined industry and/or postdoctoral research experience in MedTech, diagnostics, biopharma, or applied AI domains.
- Hands-on proficiency in Python/R and modern ML frameworks; familiarity with DoE (design of experiments), Bayesian optimization, causal, survival, and longitudinal methods.
- Experience working with RWE/RWD datasets (EHR, claims, registries, device logs).
Nice to Have
- Background in oncology, infectious diseases, acute care, or neurodegenerative disorders.
- Experience with imaging data (WSI/IHC and/or CT/PET/MRI) and LLM-based systems (Agents, RAG, finetuning, prompt engineering)
- Experience with Azure OpenAI, Snowflake, coding agents (e.g Claude Code, VS Code, Codex), Llama/Mistral, MLflow, Delta Lake, Hugging Face, and large-scale model deployment.
Benefits
- comprehensive, competitive benefit programs
- health care program
- paid time off
- medical/dental/vision insurance
- 401(k)
Additional Information
- Ability to travel – 10%
- This position is eligible for a remote work arrangement in which you can work remotely from your home. Additional information about this remote work arrangement will be provided by your interview team.
