Senior Data Scientist - Clinical AI development

Novo Nordisk•Lexington, MA

About The Position

The Senior Data Scientist II will contribute to the research team's effort towards exploring and creating new technology and being a world leader in data science within our fields. The Senior Data Scientist II will bring elements of data collection, preparation, and engineering as well as software engineering in a data science context. The Senior Data Scientist II will develop and validate algorithms and models in support of data science efforts with a high degree of initiative and self-sufficiency. Moreover, the Senior Data Scientist II will guide more junior Data Scientists in the execution of their tasks, as well as supports them in networking in a complex global organization. Open to hiring at the Lead level commensurate with experience.

Requirements

Master’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
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
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.

Nice To Haves

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

Responsibilities

Develop and validate LLM-based solutions for content retrieval, generation, summarization and inference applied to healthcare and drug development challenges
Enable & assist in software engineering for AI products: architect services, design APIs, build backend systems, and integrate with frontend applications while meeting performance, safety, privacy & ethics requirements.
Build and maintain requisite data solutions , including vector databases, embedding pipelines, and knowledge bases to support retrieval-augmented generation (RAG) and document understanding
Collaborate with other data scientists to design, code, train, test, deploy, and iterate on machine learning systems
Explore model-driven reasoning through the application of prompt engineering, model fine-tuning techniques (supervised, LoRA,PEFT, etc.), and optimization methods (quantization, distillation, caching) as part of day-to-day development work.
Create technical documentation, runbooks, and training materials for model usage and maintenance.
Accomplishes objectives with a high degree of self sufficiency
Collaborate with other Data Scientists, as well as engineers from other disciplines to complete daily tasks
Actively participates in cross-functional teams to develop AI and ML solutions
Stay current on GenAI/LLM research, best practices and technology roadmap
Achieves business goals, shares learnings, knowledge and skills and promotes cross-functional teamwork.
Raise the level of competency in the team by seeking and sharing domain knowledge in the area of Data Science, as well as Novo Nordisk’s therapy areas

Benefits

medical coverage
dental coverage
vision coverage
life insurance
disability insurance
401(k) savings plan
flexible spending accounts
employee assistance program
tuition reimbursement program
voluntary benefits such as group legal, critical illness, identity theft protection, pet insurance and auto/home insurance
sick time policy
flex-able vacation policy
parental leave policy
company bonus
long-term incentive compensation
company vehicles