Intern-AI/ML in Antibody Developability Models

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com

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Job Function:

Career Programs

Job Sub Function:

Non-LDP Intern/Co-Op

Job Category:

Career Program

All Job Posting Locations:

San Diego, California, United States of America

Job Description:

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine 

About MedTech

Fueled by innovation at the intersection of biology and technology, we’re developing the next generation of smarter, less invasive, more personalized treatments.

Your unique talents will help patients on their journey to wellness. Learn more at https://www.jnj.com/medtech

Johnson & Johnson Innovative Medicine is recruiting for a Summer Intern - AI/ML in Antibody Developability Models position in the Drug Discovery Data Science, In Silico Discovery (ISD) group in La Jolla, CA.

The Intern term is from June to August, 2026.

Full time requirement (40 hours per week).

Job Description

The Drug Discovery Data Science group within the In Silico Discovery (ISD) organization in La Jolla, CA is seeking a current PhD student for a 10-12 week Summer research internship. We are looking for a knowledgeable, self-motivated, creative, and multi-skilled graduate student with a strong interest in machine learning, data science, computational biology, and biotherapeutics discovery. In this role, the intern will design and implement machine learning frameworks that leverage public protein property datasets alongside internal experimental data to improve predictive models. Thermostability and related properties will be key areas of focus.

Responsibilities

Antibody thermostability is a key property influencing the developability, manufacturability, and shelf-life of therapeutic candidates. The intern will contribute to advancing predictive modeling performance by:

Collecting and curating large public datasets.

Developing and engineering features by integrating sequence embeddings from state-of-the-art protein language models and structure-derived descriptors, as well as benchmarking alternative feature sets.

Developing deep learning models to capture general physicochemical stability patterns.

Applying transfer learning by fine-tuning pretrained models on internal antibody thermostability datasets and rigorously evaluating predictive performance.

Publication is encouraged.

Qualifications

• Completion of Undergraduate Freshman year at an accredited University is required.
• Have a cumulative GPA of 2.8 or higher, which is reflective of all college coursework.

PhD student in computational biology, biophysics, machine learning, data science, or related field.

Demonstrated experience in deep learning with proficiency in Python and PyTorch.

Familiar with protein language models and key structural determinants of protein stability.

Experience with transfer learning or working with pretrained deep learning models preferred.

Familiarity with antibody structure and function is preferred.

Strong communication, problem-solving, and collaboration skills.

Candidates must have authorization to work in the U.S.

The individual should be able to work onsite at our La Jolla campus during the whole internship period. 

Permanently authorized to work in the U.S., must not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future.  Students currently on CPT, OPT, or STEM OPT usually requires future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship.

The expected pay range for this position is between $26.50 per hour and $59.00 per hour but will be based on candidate's program year, discipline, degree and/or experience. Co-Ops/Interns are eligible to participate in Company sponsored employee medical benefits in accordance with the terms of the plan. Co-Ops and Interns are eligible for the following sick time benefits: up to 40 hours per calendar year; for employees who reside in the State of Washington, up to 56 hours per calendar year. Co-Ops and Interns are eligible to participate in the Company’s consolidated retirement plan (pension).

For additional general information on Company benefits, please go to: https://www.careers.jnj.com/employee-benefits. This job posting is anticipated to close on [03/10/2026]. The Company may however extend this time-period, in which case the posting will remain available on https://www.careers.jnj.com to accept additional applications.

Ineligibility for severance.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the

Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers  or contact AskGS to be directed to your accommodation resource.

#LI-Onsite

Required Skills:

Preferred Skills:

The anticipated base pay range for this position is :

$26.50/hr to $59.00/hr

Additional Description for Pay Transparency:

The expected pay range for this position is between $26.50 per hour and $59.00 per hour but will be based on candidate's program year, discipline, degree and/or experience. Co-Ops/Interns are eligible to participate in Company sponsored employee medical benefits in accordance with the terms of the plan. Co-Ops and Interns are eligible for the following sick time benefits: up to 40 hours per calendar year; for employees who reside in the State of Washington, up to 56 hours per calendar year. Co-Ops and Interns are eligible to participate in the Company’s consolidated retirement plan (pension).