Data Scientist I

Novo Nordisk A/S
Lexington, KY, United States
11 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Automated Storage and Retrieval Systems Automation of Tests Cloud Computing Encodings Computer Programming Continuous Integration Data Systems Distributed Systems Information Extraction Python (Programming Language) Machine Learning
+17 more
Software Engineering Reinforcement Learning Jupyter Notebook Model-Driven Development Pytorch Retrieval-Augmented Generation Transfer Learning Large Language Models Prompt Engineering Model Validation Containerization HuggingFace Variational Autoencoders Machine Learning Operations Front End Software Development Data Pipelines Databricks

Job description

The Senior Data Scientist I 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 I will bring elements of data collection, preparation and engineering as well as software engineering in a data science context. The Senior Data Scientist I 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 will guide more junior Data Scientists in the execution of their tasks., The Senior Data Scientist I 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., * 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

Requirements

  • Bachelor’s degree required. Master’s degree, or PhD is preferred. Degree within subject matter expertise preferred
  • A Bachelor’s degree with 5+ years’ relevant experience, OR Master’s Degree with 3+ years’ relevant experience, OR PhD with no experience can be considered
  • Hands on experience with Azure Databricks

  • 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.
  • Excellent written and oral communication skills.
  • Detail oriented with strong documentation skills.
  • Ability to develop and implement sound technical solutions to complex problems.
  • Ability to work independently and in teams, and to collaborate with external parties.

  • Preferred experience includes:

*

  • 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

We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.

About the company

At Novo Nordisk, we’re not chasing quick fixes - we’re creating lasting change for long-term health. For over 100 years, we’ve been driven by a single purpose: to defeat serious chronic diseases and help millions of people live healthier lives. This dedication fuels our constant curiosity and inspires us to push the boundaries of what’s possible in healthcare. We embrace diverse perspectives, seek out bold ideas, and build partnerships rooted in shared purpose. Together, we’re making healthcare more accessible, treating and defeating diseases, and pioneering solutions that create change spanning generations. When you join us, you become part of something bigger - a legacy of impact that reaches far beyond today.

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