Senior Scientist I (Machine Learning) - Biologics Cell Culture Development

BioSpace; South San Francisco (CA); Vor Ort; USD 120.000 - 190.000; Vollzeit

Benefits dieser Stelle

Comprehensive benefits package

Paid time off

Short-term incentive programs

Zusammenfassung

A leading biopharmaceutical company in South San Francisco is seeking a Senior Scientist I to develop machine learning models for cell culture processes in a collaborative lab setting. Candidates should have strong programming skills, a deep understanding of statistical methods, and experience in developing ML models. This position focuses on innovating biologic therapies and advancing them into clinical studies. A PhD is required along with relevant experience in statistical and computational biology.

Qualifikationen

• 10+ years of experience in model development in the field.
• Experience with ML frameworks and statistical methods.
• Published technical reports and scientific articles.
• 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; 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)

Aufgaben

• Develop and validate machine learning models for cell culture.
• Optimize platform and enhance understanding of processes.
• Communicate findings and suggest workflow improvements.
• 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 and written communication skills, and adherence to good documentation practices

Kenntnisse

Machine learning model development

Statistical methods

Programming in Python

Data visualization

Collaboration skills

Ausbildung

PhD in a relevant field

MS in related field

BS in related field

Tools

Scikit-Learn

TensorFlow

PyTorch

JMP

Jobbeschreibung

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 TikTok.

Job Description

The Biologics CMC Development team at AbbVie 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.

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 and written communication skills, and adherence to good documentation practices

Qualifications

Basic Qualifications:

• 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, 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 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)

Preferred:

• 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, Javascript, 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, ambr250, and/or 2L bioreactors
• Experienced in the tech transfer of cell culture and primary recovery processes to GMP manufacturing facilities in other locations
• Experienced in authoring and reviewing technical reports, GMP campaign summary reports, and relevant sections in regulatory filings

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.

We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.

This job is eligible to participate in our short-term incentive programs.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visithttps://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: https://www.abbvie.com/join-us/reasonable-accommodations.html