Senior Data Scientist - AI engineering Clinical

Position: Senior Data Scientist - AI engineering with Clinical applications
# Senior Data Scientist - AI engineering with Clinical applications

Novo Nordisk Be an Early Applicant Full Time senior Massachusetts, USPosted Today##

Role Overview Novo Nordisk is hiring a Senior Data Scientist - AI engineering with Clinical applications. This is a full-time role in Massachusetts. Part of Novo Nordisk's Data Science hiring, posted today. applications are still in the early window, before most candidates have applied. Full responsibilities, required qualifications, and the apply link are listed in the description below.## Salary Context Salary is not disclosed in this posting.

Market median for Senior-level Data Science roles is $160k-$214k (based on 45 comparable listings). Many employers share specifics during the interview process or after an initial screen.## Resume Keywords to Include Make sure these keywords appear in your resume to improve ATS scoring

PythonRPyTorchCI/CDORCompensation Benefits Privacy Sign  up free to auto-tailor your resume with all these keywords and get a higher ATS score## Job description

About The Department Our Research & Development organization brings together the best minds in life science innovation. The teams located in facilities in Lexington, Watertown, Cambridge and Plainsboro reflect the full R&D continuum, from early research through late-stage clinical development. Here, we are building for the future, creating a distinct R&D community based on collaboration, partnerships, and cutting-edge research across multiple modalities and therapeutic areas.

We recognize that improving human health starts here and that patients rely on us. Our R&D hub merges biotech speed and agility with large pharmaceutical company quality, resources, and stability, uniting the best of both worlds to develop new medicines for patients.

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

Relationships

The Senior Data Scientist II reports to the Associate Director of the Clinical AI development area. Internal partners include fellow Data Scientists, AI Engineers, and System Architects who serve as primary day-to-day collaborators in the design and delivery of AI/ML solutions. The role also works closely with medical professionals, clinical trial squad members, and biostatisticians to ensure that solutions are grounded in clinical context and meets the needs of drug development workflows

Essential Functions
* Scientific work:
* 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…