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 Seattle 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 I will contribute to the development and deployment of state-of-the-art generative AI methodologies within computational drug design and target discovery and contribute to the teams visibility in this field both internally and externally, via strong contributions to the research portfolio, cross-organisational engagement, presentations and publications. Moreover, the Senior Data Scientist will guide more junior Data Scientists in the execution of their tasks. Relationships The Senior Data Scientist I reports to the head of Machine Intelligence and interact closely with colleagues in the department and in the other departments within AIDR, in particular computational drug design, computational biology, human genetics and research engineering to drive the applications of generative AI within R&EDs computational drug discovery portfolio. External relationships include commercial and academic collaboration partners. Essential Functions
Support and drive integration of state-of-the generative AI methodologies within computational drug design and target discovery
Optimize generative AI methodologies in conjunction with one or more design criteria for novel compound generation
Collaborate closely with subject matter experts in computational drug design, computational biology and genetics
Stay at the forefront of research in deep learning, representation learning and generative AI
Present findings through reports, presentations, and scientific publications to internal and external stakeholders.
Demonstrate initiative in identifying and addressing unmet needs in our computational pipelines
Accomplishes objectives with a high degree of self sufficiency
Collaborative teamwork
Actively participates in cross-functional teams to develop AI and ML solutions
Actively participates in virtual global team meetings regularly
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 AI and data science, as well as Novo Nordisk’s therapy areas
Demonstrates aptitude for establishing and maintaining relationships with colleagues both locally and globally
Mentors more junior Data Scientists in the execution of their tasks & best practices in Data Science, acting as a force multiplier for the team
Physical Requirements
Up to 10% overnight travel required.
Qualifications
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 little to no years’ relevant experience can be considered
Relevant experience includes:
Strong proficiency in Python and experience with PyTorch deep learning libraries and HPC.
Excellent problem-solving skills and the ability to work independently as well as in a team environment.
Experience with modern version control and continuous integration / testing systems
Knowledge of at least 2 of the following: deep learning, Bayesian reasoning, learning from semi-structured data, reinforcement or active learning, large language models.
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, including ability to develop content for and present to diverse audiences
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.
Demonstrated ability to generate valuable and relevant ideas, create concepts based on ideas, and develop new products based on concepts.
Ability to perform in-depth data analysis and present results and conclusions to engineering and leadership teams.
We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.
At Novo Nordisk we recognize that it is no longer good enough to aspire to be the best company in the world. We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures. We are therefore committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and communities we operate in. Together, we’re life changing.
Novo Nordisk is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, protected veteran status or any other characteristic protected by local, state or federal laws, rules or regulations.
If you are interested in applying to Novo Nordisk and need special assistance or an accommodation to apply, please call us at 1-855-411-5290. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.
