Senior Scientist I (Machine Learning) - Biologics Cell Culture Development
AbbVieAbout the role
Company Description
AbbVie'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 AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.
Job Description
The Biologics CMC Development team at AbbVie 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 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.
KEY RESPONSIBILITIES:
- Develop, implement, refine, and validate machine learning (ML) models for predicting cell culture process performance
- Communicate model findings and suggest experimental
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