Senior Data Scientist I - Molecular Data Science

About the Department

The Protein Engineering department is part of Novo Nordisk’s Computational Drug Design (CDD) area where we apply and develop state-of-the-art capabilities in structure-based modelling and AI/ML approaches for drug design. Scientists within CDD collaborate seamlessly with teams across the globe to invent better molecules faster. With an unbiased approach to drug modalities, in-house access to the newest screening techniques, and world-class experimentation, we have a wealth of opportunities to impact our pipeline and ultimately save and improve patient lives. We work in multidisciplinary, highly collaborative discovery teams both locally and across Novo Nordisk’s global network to invent novel medicines by applying advanced computational techniques and developing innovative computational methods. We also engage in external collaborations to ensure access to cutting edge research and technology.
The Protein Engineering team is focusing on the design of biopharmaceutical proteins such as protein minibinder and protein replacement therapies, using Molecular Modelling and Machine Learning approaches. We collaborate closely with our experimental colleagues in early research to improve and accelerate the design of new drug candidates. With a team of scientists located in Denmark, United States and potentially also United Kingdom, we strive to deliver the latest advancements in protein therapeutics to benefit patient health and global medicine.

The Position

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. A key part of the role will be to further develop our Modelling/AI workflow for data-driven compound design, including the integration of novel ML technologies for protein structure predictions, biophysical property predictions, and variant design. Another aspect of the position will be to drive the development of novel SAR visualization and analysis tools and ensure its best usage within selected projects. The position requires close collaboration with other research scientists in multidisciplinary project teams as well as our data science and machine learning colleagues across the global sites of the ‘Digital Science & Innovation’ area.

***Please note we are open to hiring at more senior titles commensurate with experience***

Open to candidates located in either Seattle, WA or Lexington, MA - this is a hybrid role with weekly time in office required

Relationships

The Senior Data Scientist I reports to the head of Protein Engineering based in Denmark. Internal partners include data scientists, specialists, engineers, software developers, technology scouts & partnership developers, system engineers, designers, anthropologists, medical doctors, IT professionals, and others across US and Denmark.

External relationships include commercial and academic collaboration partners.

Essential Functions

• Review technology landscape and build external collaborations with key partner in the AI field for biologics
• Develop predictive models for biologics design as well as SAR analysis and visualization methods and integrate them into the in house in silico pipeline to enable multi-objective compound design and data-driven decision making
• Apply predictive models for biologics design, including developability engineering and experimental design of high-throughput variant libraries

Physical Requirements

0-10% overnight travel required.

Qualifications

• Experience working with cloud compute services such as AWS S3, EC2 or Azure
• A Master’s degree with 3+ years’ relevant experience, or PhD with little to no years’ relevant experience OR Bachelor’s degree with 5+ years’ relevant experience can be considered
• Strong track record in the development and application of AI/ML for de novo design and/or compound property predictions, preferably for biologics
• Proficiency in Python (or other scientific programming language), data-workflow tools, and data science packages like scikit-learn and pandas
• Preferred experience includes:
  • Drug discovery experience in the field of biologics within industry or academics (industry preferred)
  • Experience with protein modelling software programs such as Rosetta, Schrodinger and/or MOE is considered a plus
  • Experience working with cloud compute services such as AWS S3, EC2 or Azure
• A Master’s degree, or PhD is preferred. Bachelor’s degree required. Degree within computational chemistry or biology discipline, such as Computational Protein Design, Molecular Modelling or Bio-/Cheminformatics, preferred
• Broad knowledge of cheminformatics, bioinformatics, and QSAR methods and experience with the development of related data analysis pipelines and visualizations
• Drug discovery experience in the field of biologics within industry or academics (industry preferred)
• Excellent written and oral communication skills
• Ability to perform in-depth data analysis and present results and conclusions to project and leadership teams
• Experience in working in multidisciplinary teams and working environment(s)
• Relevant experience includes:
  • Strong track record in the development and application of AI/ML for de novo design and/or compound property predictions, preferably for biologics
  • Broad knowledge of cheminformatics, bioinformatics, and QSAR methods and experience with the development of related data analysis pipelines and visualizations
  • Proficiency in Python (or other scientific programming language), data-workflow tools, and data science packages like scikit-learn and pandas
  • Experience in working in multidisciplinary teams and working environment(s)
  • Ability to perform in-depth data analysis and present results and conclusions to project and leadership teams
  • Excellent written and oral communication skills
• Experience with protein modelling software programs such as Rosetta, Schrodinger and/or MOE is considered a plus

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.

This position is part of a job family. As a result, this position can be filled with varying job titles depending on experience. The ranges for the job titles are the following -

• Sr. Data Scientist I/Sr. Data Scientist II- - $98,820 - 172,940
• Lead Data Scientist/Sr. Lead Data Scientist $121,050- 195,000

Base compensation is determined based on a number of factors. In addition, this position is part of the Annual Performance Incentive Plan. The role may also be eligible for a long-term incentive bonus depending on level and other Company factors.

Employees are also eligible to participate in Company employee benefit programs including medical, dental and vision coverage; life insurance; disability insurance; 401(k) savings plan; flexible spending accounts; employee assistance program; tuition reimbursement program; and voluntary benefits such as group legal, critical illness, identity theft protection, pet insurance and auto/home insurance. The Company also offers time off pursuant to its uncapped sick time policy, flex-able vacation policy, and parental leave policy.

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.