Senior Scientist ; Machine Learning - Biologics Cell Culture Development

Company Description

Abb Vie s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people s lives across several key therapeutic areas immunology, oncology, neuroscience, and eye care and products and services in our Allergan Aesthetics portfolio. For more information about Abb Vie, please visit us at  Follow @abbvie on X, Facebook, Instagram, You Tube, Linked In and Tik Tok.

The Biologics CMC Development team at Abb Vie has a long and rich history of biologics development. Now located in a new state-to-the-art facility in South San Francisco, the team leverages its comprehensive end-to-end CMC capabilities to work collaboratively through all phases of CMC development with a primary focus on advancing biologic therapies, such as monoclonal antibodies, bi-specifics and novel modalities, to human clinical studies and eventual licensure.

This role will be embedded in a team of highly experienced scientists and managers who have directly enabled the development/IND submissions of 20+ novel oncology drugs and successfully filed two BLAs.

The Cell Culture Development Group in South San Francisco, CA is seeking a Senior Scientist I to join a talented and collaborative team to develop and implement machine learning models for predicting optimal cell culture process performance. As a senior scientist, you will be responsible for all aspects of ML model development.

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.

In this position, you will perform cell culture process modeling, cell culture process development, scale-up, and technology transfer activities in a well-supported and dynamic environment to help advance novel biotherapeutics into human clinical studies.

• 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 ambr
  250, 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 and written communication skills, and adherence to good documentation practices

• Scientific degree in computer science, statistics and applied mathematics, computational biology, bioinformatics, data science, chemical engineering, bioengineering, or a related field, with BS or equivalent education and 10+ years of experience, OR MS or equivalent education and 8+ years of experience, OR PhD and 0+ years of experience
• 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., Scikit-Learn, Tensor Flow, 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 findings
• 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; collaboratively builds relationships with others
• Experienced in authoring peer-reviewed publications, technical reports, regulatory documents, and/or presentations at conferences
• 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
• Expertise in programming (e.g., Python, Java script, C++)
• Experience in CMC cell culture process development is highly desirable
• Demonstrated scientific aptitude through authorship of peer-reviewed publications
• Strong understanding of design of experiments (DOE)
• Proficient in aseptic technique
• Basic understanding of mammalian cell and molecular biology and cell culture bioprocess engineering concepts
• Experienced in developing and executing mammalian suspension cell culture processes in shake flasks, ambr
  250, and/or 2L…