Intern-AIML in Antibody Developability Models

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are 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 more at

As guided by Our Credo Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Job Sub Function:

Job Category:

All Job Posting Locations:

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

About MedTech

Fueled by innovation at the intersection of biology and technology were 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

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 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 candidates program year discipline degree and/or -Ops/Interns are eligible to participate in Company sponsored employee medical benefits in accordance with the terms of the -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 -Ops and Interns are eligible to participate in the Companys consolidated retirement plan (pension).

For additional general information on Company benefits please go to: 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 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 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 :

Additional Description for Pay Transparency: