AbbVie · 1 day ago
Senior AI Scientist - Peptide Design
AbbVie is a company dedicated to discovering and delivering innovative medicines to address serious health issues. They are seeking a highly motivated Peptide Design and Machine Learning Scientist to drive the development of generative AI methods for peptide drug discovery, collaborating with scientists to optimize AI-enabled hit generation strategies.
BiotechnologyFinancial ServicesHealth CareMedicalPharmaceuticalVenture Capital
Responsibilities
Develop machine learning and computational chemistry methods to enable discovery of peptides and/or peptide-containing scaffolds that bind to target proteins
Lead efforts to leverage various computational chemistry tools and machine learning architectures to accelerate design of peptide-based molecules
Lead deployment of machine learning algorithms across various therapeutic areas
Build data sets and develop novel strategies to quantify model performance
Present results at internal and external scientific conferences
Routinely demonstrate scientific initiative and creativity in research activities
Formulate conclusions and design follow-on experiments based on multidisciplinary data
May initiate new areas of investigation that are scientifically meaningful, reliable, and can be incorporated directly into a research or development program
Author of publications, presentations, regulatory documents and/or primary inventor of patents
Understand and adhere to corporate standards regarding code of conduct, safety, appropriate handling of materials, controlled drug and radioactive compounds, GxP compliance, and animal care where applicable
Direct mentorship of others
Qualification
Required
Bachelor's Degree or equivalent education and typically 10 years of experience, Master's Degree or equivalent education and typically 8 years of experience, PhD and no experience necessary
Proven experience developing deep learning approaches for peptide generation and peptide drug design
Experience with protein structure modeling, design, or prediction algorithms, spanning physics-based to deep learning architectures
Fluent in Linux command-line, python, and version control (git)
Demonstrated record of research excellence in machine learning as evidenced by conference presentations (e.g. NeurIPS) and journal publications
Thorough theoretical and practical understanding of relevant scientific disciplines
Applied experience in a quantitative science (e.g., Chemistry, Biology, Biochemistry, etc.)
Extensive experience working with large chemical and biological datasets, including graph, sequence, and structure-based data
Hands-on experience building and training models, applying transfer learning, and/or fine-tuning models using deep learning frameworks (such as PyTorch)
Experience using cloud computing, high-performance computing, or GPU clusters
Ability to work collaboratively on projects with multiple contributors
High level of autonomy and productivity in laboratory research or method development, requiring minimal supervision
Preferred
Experience developing deep generative approaches for cyclic peptide drug design
Experience developing deep generative approaches for peptides with non-canonical amino acids
Experience developing novel strategies to quantify model performance, especially for diffusion, flow-matching, and transformer-based models
Experience contributing to drug discovery efforts
Benefits
Paid time off (vacation, holidays, sick)
Medical/dental/vision insurance
401(k)
Company
AbbVie
AbbVie is a biopharmaceutical company focused on immunology, oncology, neuroscience, virology, and aesthetics. It is a sub-organization of AbbVie.
H1B Sponsorship
AbbVie has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (273)
2024 (190)
2023 (225)
2022 (284)
2021 (186)
2020 (186)
Funding
Current Stage
Public CompanyTotal Funding
$15B2024-02-27Post Ipo Debt· $15B
2023-03-08Post Ipo Equity· $0.25M
2012-12-20IPO
Leadership Team
Recent News
Pharmaceutical Technology
2026-01-13
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