Protein Design Data Scientist Postdoc

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where “Health for all Hunger for none” is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’.

Protein Design Data Scientist Postdoc

Bayer is looking for a highly creative and motivated data scientist with expertise in deep learning and protein design to join our team in St. Louis, MO. The candidate will join a cross‑divisional, global team to generate innovative machine learning solutions to better understand biomolecules and product ionize solutions into discovery pipelines in the Plant Biotechnology Group.

The successful candidate will be responsible for fine‑tuning and running deep learning models involved in protein analytics, while advising on a variety of external and internal collaborations focused on generating novel datasets, analytical approaches, and product development. The individual will also have knowledge on traditional molecular mechanics approaches to computational protein design and protein structure analysis.

• Be an active member of a highly interdisciplinary and cross‑organizational team aimed at using AI to develop novel biotech products.
• Stay current with fast‑paced innovation in AI applied to protein analytics and design.
• Collaborate and consult with technical and non‑technical stakeholders on external collaborations in the protein space.
• Conceive, execute, and evaluate models and experiments; interpret results and present them to a broad range of stakeholders and leadership.
• Help other researchers use AI in their daily discovery activities.
• Work in close collaboration with peers located in our Protein Sciences team and other members of the Data Science community.
• Strengthen external visibility and scientific excellence through publishing, open source code, and engaging in the scientific community.

• PhD and applied experience in at least one of the following areas:
  Computational Biology, Computer Science, Computational Chemistry, or related fields.
• Demonstrates intermediate proficiency in computational skills and level of experience building data models using R or Python.
• Strong proficiency in leveraging deep learning models for prediction involving biological sequence—to include comprehension of theory, modeling/identification strategies and limitations and pitfalls.
• Experience in successful delivery of valuable analysis through application of domain knowledge; evidence of ability to strong business acumen.
• Strong communication competencies to include presentations and delivery of complex quantitative analyses in a clear, concise and actionable manner to extended team and small groups of key stakeholders.

Employees can expect to be paid a salary between $90,000-$140,000. Additional compensation may include a bonus or incentive compensation (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc. This salary range is merely an estimate and may vary based on an applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors.

This posting will be available for application until at least January 5, 2025.

• United States :
  Missouri :
  Chesterfield

• Crop Science

• 857708

• Email:

Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity and want to impact our mission Science for a better life, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer.

Bayer does not accept unsolicited third‑party resumes.

Bayer is an Equal Opportunity Employer/Disabled/Veterans.

Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.

Bayer is an E‑Verify Employer.