Senior Scientist ; Machine Learning - Biologics Drug Substance Development, Cell Culture

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

The Biologics CMC Development team at Abb Vie has a long and rich history of biologics development. Now located in a new state‑of‑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 design and implement cell culture process modeling to assist and accelerate 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 and 2L experiments 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 writing communication skills, and adherence to good documentation practices

• Basic Qualifications:
• BS, MS, or PhD in Computer Science / Statistics and Applied Mathematics / Bioinformatics / 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, Tensor Flow, PyTorch or Keras). Preferred prior experience with time series forecasting.
• Must demonstrate strong programming competency for implementing, debugging, and maintaining 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…