2025 Cell Line Development R&D Intern - Computational Biology & Machine Learning Applications - AbbVie

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 Twitter, Facebook, Instagram, YouTube and LinkedIn. 

BioCMC Cell Line Development (Drug Substance) Internship Overview

Envision spending your summer working with energetic colleagues and inspirational leaders, all while gaining world-class experience in one of the most dynamic organizations in the pharmaceutical industry. This is the reality for AbbVie interns.

The Biologics Drug Substance organization is a team of scientists driving scientific excellence and process development through innovative solutions. They are responsible for all Chemistry, Manufacturing, and Control (CMC) cell line and bioprocess development activities for AbbVie's early-stage products. As an intern, you will have the opportunity to learn and work on key aspects of developing fundamental scientific understanding related to AbbVie's projects and processes, including exposure to innovative projects like applying machine learning models to improve the cell line development process.

This internship will be based in South San Francisco, CA.

Key responsibilities may include:

• Develop and implement innovative deep learning approaches using Omics (NGS) data from to predict optimal outcomes in our bioprocesses.
• Exercise significant independence in selecting and applying appropriate computational methodologies for predictive modeling.
• Collaborate with a senior scientist to prepare, clean, and preprocess input data, gaining insights into NGS (Next-Generation Sequencing) data analysis.
• Analyze and interpret NGS datasets, applying foundational knowledge of sequencing theory to inform model development.
• Present findings and progress to the department, effectively communicating methodologies, results, and potential impacts.
• Learn and understand various aspects of cell line and bioprocess development, integrating computational approaches to enhance timelines and outcomes.

Minimum Qualifications 

• Currently enrolled in university, pursuing a PhD in Bioinformatics, Computational Biology, Computer Science, Data Science, or a related field.
• Strong background in machine learning and deep learning methodologies.
• Proficiency in programming languages such as Python, and experience with ML frameworks like TensorFlow, PyTorch, or other ML frameworks.
• Must be enrolled in university for at least one semester following the internship.

Preferred Qualifications 

• Prior experience in developing and implementing machine learning models for biological data is highly desirable.
• Familiarity with Next-Generation Sequencing (NGS) technologies is a plus (not required).
• Expected graduation date between December 2025 – Dec 2026.
• Data visualization skills are a plus.
• Effective writer and communicator with ability to interact effectively with interdisciplinary scientists and engineers.
• High attention to detail, creativity in problem solving, strong interpersonal skills.

Benefits and Amenities

• Competitive pay.
• Relocation support for eligible students.
• Select wellness benefits and paid holiday / sick time.
• Break rooms stocked with complimentary coffee, tea, beverages, snacks, and cold breakfast items.
• Onsite café and fitness center.

Equal Employment Opportunity
At AbbVie, we value bringing together individuals from diverse backgrounds to develop new and innovative solutions for patients. As an equal opportunity employer, we do not discriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information gender identity or expression, sexual orientation, marital status, protected veteran status, or any other legally protected characteristic.

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.​

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. ​

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AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives, serving our community and embracing diversity and inclusion.  It is AbbVie’s policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status.

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

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

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