AbbVie · 6 hours ago
Senior Scientist I (Machine Learning) - Biologics Drug Substance Development, Cell Culture Development
South San Francisco, CA
Full-time
Onsite
Senior Level, Lead/Staff
8+ years expAbbVie is dedicated to discovering and delivering innovative medicines and solutions that address serious health issues. The Senior Scientist I will develop and implement machine learning models for predicting optimal cell culture process performance and work collaboratively within a lab environment to advance biologic therapies into human clinical studies.
BiotechnologyFinancial ServicesHealth CareMedicalPharmaceuticalVenture Capital
Responsibilities
Develop, implement, refine, and validate machine learning (ML) models for predicting cell culture process performance
Communicate model findings and suggest experimental strategy and/or workflow improvements to support early- and late-stage development
Actively seek out opportunities to optimize our platform or enhance our understanding of cell culture processes using ML models and wet lab experiments
Design and execute scalable ambr250 and 2Lexperiments for model development and validation
Represent the cell culture development group in cross-functional meetings and collaborate closely with modeling groups, cell line, purification, analytical and formulation development leads to meet project deliverables and timelines
Publish or present scientific findings in peer-reviewed journals, internal or external conferences or consortia
Display effective organization, verbal written communication skills, and adherence to good documentation practices
Qualification
Required
BS, MS, or PhD in Computer Science / Statistics and Applied Mathematics / Bioinformatic / Machine Learning / Computational Biology / Data Science / Chemical Engineering / Bioengineering or a related field, with Bachelors degree and 10+ years of experience OR Master's and 8+ years of experience, OR PhD and no experience necessary
Industry or research experience developing machine learning models related to chemical and biological data
Expertise with developing, implementing, validating, and deploying models, programs and computational solutions using Machine Learning/Deep Learning
Must have a strong understanding of statistical methods, ML methodologies (e.g., RNNs, GPR, symbolic regression), and ML frameworks (Sci-kit Learn, TensorFlow, PyTorch or Keras)
Must demonstrate strong programming competency for implement, debug, and maintain models and tools in Python or equivalent and proficiency with cloud computing capabilities
Must have experience in data visualization tools (e.g., Matplotlib, Plotly) to communicate model finding
Strong familiarity with statistical modelling software/tools (e.g., JMP, SIMCA, Minitab, Design Expert) and proficient with Microsoft Office software
Willingness to learn and execute wet lab experiments in ambr250 and 2L bioreactors
Strong analytical and problem-solving skills with demonstrated ability to think critically and creatively; and provide solutions both individually and collaboratively with internal experts to develop and optimize the computational infrastructure including cloud resources
Strong attention to detail; active and quick learner; able to change course quickly as needed; raises the bar and is never satisfied with the status quo; open to suggestions and embraces the ideas of others; collaborative actively builds relationships with others
Experienced in authoring and reviewing peer-reviewed publications, technical reports, regulatory documents, and/or presentations at conferences
Preferred
Experience in implementing transfer learning
Strong understanding of design of experiments (DOE)
Experience in CMC cell culture process development is highly desirable
Basic understanding of mammalian cell and molecular biology and cell culture bioprocess engineering concepts is highly desirable
Experience in developing and executing mammalian suspension cell culture processes in shake flasks, ambr250, and/or 2L bioreactors is highly desirable
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.
10001+ employees
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
Robert Michael
Chairman of the Board and Chief Executive Officer
Micah Bregman
Vice President, Global Strategy and Pipeline, Allergan Aesthetics
Recent News
2026-01-23
2026-01-20
2026-01-20
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