AbbVie's Biologics CMC Development team is seeking to develop and implement machine learning models for predicting optimal cell culture process performance to advance biologic therapies.
Requirements
Must have industry or research experience in developing, implementing, and validating ML models
Must have a strong understanding of statistical methods, ML methodologies, and ML frameworks (e.g., Sci-kit Learn, TensorFlow, PyTorch)
Must demonstrate programming competency for model implementation in Python or equivalent
Must have experience in data visualization tools (e.g., Matplotlib, Plotly) to communicate model finding
Proficient with Microsoft Office software and strong familiarity with statistical modelling software/tools (e.g., JMP, SIMCA, Minitab, Design Expert)
Prior experience in developing and implementing ML models for biological data is highly desirable
Experience in implementing transfer learning is highly desirable
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, 2L, 50L, 200L and 500L single use bioreactors processes
Represent the cell culture development group in cross-functional meetings and collaborate closely with 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
Other
This position is an onsite role in a lab-based function.
To be successful, candidates must enjoy and thrive in an onsite, highly collaborative lab environment with face-to-face cross-functional interactions between scientists.
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 peer-reviewed publications, technical reports, regulatory documents, and/or presentations at conferences
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.
