Back to jobsMaster’s degree or PhD highly preferred. Minimum of Bachelor’s degree required. Degree within subject matter expertise preferred
Master’s Degree with 4+ years’ relevant experience, or PhD with 2+ years’ relevant experience, or a Bachelor’s degree with 6+ years’ relevant experience can be considered
Relevant experience includes:
Preferred experience includes:
Job Description
- Experience working in LLM and generative AI domain: model selection, system design, fine-tuning (supervised, LoRA, PEFT, etc.), prompt engineering, evaluation, observation, etc.
- A foundational understanding of deep/reinforcement learning models and architectures such as transformers, GANs, VAEs, etc.
- Experience in designing agentic solutions to tackle problems in healthcare, with considerations on evaluation and harnessing.
- Proven programming skills in Python and familiarity with data science and ML tooling (e.g., Jupyter Notebook, HuggingFace, PyTorch)
- Experience building data pipelines and retrieval systems (vector databases,embedding pipelines, knowledge bases) to support RAG, Graphs, and document understanding workflows
- PhD with 2+ years’ relevant experience in pharmaceutical industry, healthcare industry, regulated medical device development or in another regulated field.
- Experience in deploying agentic solutions to tackle problems in healthcare.
- Familiarity with CI/CD best practices, cloud-based distributed systems, containerization, and test automation, particularly in stateful LLM system designs
- Ability to execute own Data Science tasks while mentoring more junior Data Scientists in the development of their skills.
- Proven pulbication record in leading scientific journals
- Ability to develop and implement sound technical solutions to complex problems.
- Ability to work independently and in teams, and to collaborate with external parties.