Specialist Modelling Scientist

Specialist Modelling Scientist in Silico Peptide Discovery

Aspire to become an impactful in silico designer in the pharmaceutical industry.

The Department
The In Silico Peptide Discovery team, part of Digital Chemistry and Design, is comprised of enthusiastic modellers who foster close collaboration to drive innovation across our peptide portfolio. We apply fit‑for‑purpose computational methods — from AI and machine learning to cheminformatics and structure-based modelling — to drive project success. We work with chemists, pharmacologists, biophysicists, other experimental scientists and in silico groups to apply cutting‑edge tools to enhance compound optimization and support portfolio progression.

About the role
We are seeking a Specialist Modelling Scientist in In Silico Peptide Discovery, experienced in modelling peptides and small protein formats, to drive portfolio impact and biologics innovation. Implement predictive and structure‑based methods to generate testable hypotheses. Collaborate with experimental scientists and in silico teams to optimize peptide and small biologic candidates and lead the discovery of novel molecular tools.

Key responsibilities

• Lead Digital Strategy activities to support successful execution of peptide and biologics research projects and portfolio initiatives.
• Build productive collaborations with in silico and experimental scientists to align computational efforts with project needs and expand our discovery toolbox.
• Spearhead the discovery and development of novel molecular tools to optimize properties beyond bioactivity, including biophysics and pharmacokinetics.
• Collaborate with modelling and AI scientists to expand and apply our in silico toolbox for innovative drug discovery.
• Contribute to early project ideation and assessment by identifying appropriate peptide or biologic modalities and help maturing promising initiatives.

Qualifications

• PhD in Computational Chemistry, Computational Biophysics, or a closely related field.
• Demonstrated track record applying computational approaches to achieve disruptive molecular design innovation and optimize compound properties for peptides and small biologics formats.
• Deep knowledge of experimental assay data and the principles of biologics–target binding, protein folding/rescaffolding, and molecular structure in solution.
• Experience developing project‑focused models (including machine learning) and translating them into measurable project impact.
• Strong coding skills and familiarity with software development best practices and tools (e.g., Python, Git/GitHub).
• Preferably 3+ years’ industry experience in biotech or pharma on peptide or biologics projects, or equivalent experience.

It would be an advantage to have prior experience integrating computational predictions into experimental workflows and decision gates, experience with biophysical or pharmacokinetics prediction models for biologics, and familiarity with cloud computing and creating reproducible in silico workflows.

Why join us
Make a direct impact on patients while shaping the digital strategy for a portfolio of peptide programs. You’ll collaborate with senior scientific leaders, supported by rich data, state-of-the-art experimental capabilities, and dedicated AI/modelling partners. Expect an inclusive, collaborative culture with global development opportunities and flexibility where the role allows.

Working at Novo Nordisk

Every day we seek the solutions that defeat serious chronic diseases. To do this, we approach our work with an unconventional spirit, a rare determination and a constant curiosity. For over 100 years, this unordinary mindset has seen us build a company unlike any other. One where a collective passion for our purpose, mutual respect and a willingness to go beyond what we know delivers extraordinary results.

Contact

For further information, please contact David Rodríguez Díaz at ddrd@novonordisk.com.

Deadline

15. March 2026

You only need to submit you CV including a few sentences about why you are applying. To ensure an efficient and fair recruitment process, please refrain from adding a photo in your CV.

By submitting your application for this position, you acknowledge and agree that your CV and application materials may be accessible and viewed by relevant managers within our organization for the purpose of evaluating your candidacy.

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

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 preventing 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.