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

Overview

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  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 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 imbedded 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 and written 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.
• 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.
• Strong programming competency for implementing, debugging, and maintaining models and tools in Python or equivalent and proficiency with cloud computing capabilities.
• Experience in data visualization tools (e.g., Matplotlib, Plotly) to communicate model findings.
• Familiarity with statistical modelling…