AbbVie · 12 hours ago
Senior Scientist I, Biologics Purification Development (Mechanistic Modeling & AI/ML)
South San Francisco, CA
Full-time
Onsite
Senior Level, Lead/Staff
$94K/yr - $178K/yr
8+ years expAbbVie is a company dedicated to discovering and delivering innovative medicines and solutions that address serious health issues. They are seeking a highly motivated Senior Scientist I to join the Purification Development team, where the individual will apply mechanistic modeling and advanced AI/ML strategies to optimize and scale-up purification processes for biotherapeutic candidates.
BiotechnologyFinanceHealthcarePharmaceuticalVenture CapitalFinancial ServicesHealth CareMedical
Responsibilities
Design, implement, and validate mechanistic models and/or AI/ML (e.g., for process performance prediction, process understanding, and workflow optimization) using historical and real-time data from lab scale purification development and pilot/GMP manufacturing
Actively seek out opportunities to optimize current platform or enhance our understanding of purification unit operations using advanced models and wet lab experiments
Contribute to or drive mechanistic modeling efforts for chromatography and/or membrane separations, supporting process control and troubleshooting
Execute wet lab validation experiments with detailed documentation practices
Collaborate closely with cross-functional teams to meet project deliverables and timelines
Analyze complex datasets, utilize advanced data visualization tools, and communicate data-driven recommendations to technical teams
Proactively monitor relevant scientific literature and integrate innovative bioprocess advances
Write technical publications, reports, presentations, and regulatory filings; publish research in peer-reviewed journals and present work at scientific conferences
Mentor junior staff and uphold best practices in documentation, safety, and GxP compliance where applicable
Qualification
Required
BS, MS, or PhD in Computer Science, Statistics, Applied Mathematics, Bioinformatics, Machine Learning, Computational Biology, Data Science, Chemical Engineering, Bioengineering, or a related field, with typically 10+ years (BS), 8+ years (MS), or 0+ years (PhD) of industry or research experience as either: an expert in mechanistic modeling for protein separations with some demonstrated proficiency in AI/ML approaches
Able to manage and organize large data sets to help interpret results using data visualization tools
Strong understanding of statistical analysis, process modeling, and data visualization
Able to independently design, execute, use and reference literature publications, and interpret laboratory experiments to answer scientific questions
Must be forward-thinking and be able to lead and contribute to technical discussions and innovation
Able to independently learn, understand and execute novel, advanced scientific techniques related to bioprocess development
Has strong communication skills including verbal, written, and scientific data presentation
Understands biochemistry and bioprocess engineering concepts
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
Demonstrated experience developing, deploying, and interpreting mechanistic models of purification processes (GoSilico, CADET or similar framework) and/or machine learning models (Python, scikit-learn, TensorFlow, or similar frameworks)
Proven track record in applying mechanistic modeling or AI/ML for process optimization in bioprocessing
Strong programming competency to implement, debug, and maintain models and tools in Python or equivalent and proficiency with cloud computing capabilities
Hands-on experience with chromatographic instruments (FPLC such as AKTA, HPLC/UPLC)
Knowledge of Design of Experiments (DOE), process control, and process validation strategies
Familiarity with CMC process development from early to late stage and technology transfer into GMP manufacturing environments
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
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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
2026-02-12
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2026-02-12
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