Data Science Neuroscience PhD Co-op

Johnson Johnson; Bent (KY); On-site; USD 32,000 - 72,000; Full time

Job summary

Johnson & Johnson Innovative Medicine is seeking a highly motivated PhD Co-op to join the Neuroscience DDSAI team for Spring 2027, in Cambridge, MA. The role focuses on building a large single-cell and multi-omics atlas for neuropsychiatry and identifying disease mechanisms and novel therapeutic targets.

You will apply advanced computational approaches to map cell-cell communication networks, prioritize targets, and explore AI/ML methods on large-scale datasets to advance Neuropsychiatry

Qualifications

• Pursuing a PhD in a quantitative field (see above disciplines).
• Strong programming skills in Python and/or R (including AI-assisted coding).
• Experience analyzing high-dimensional multimodal biological datasets (single-cell RNASeq, ATACSeq, proteomics, genomics).
• Familiarity with machine learning, statistics, and computational biology methods.
• Strong scientific communication and presentation skills.

Skills

Python

R

Education

PhD in Computational Biology, Bioinformatics, Systems Biology, Biomedical Sciences, Neuroscience, Computer Science, Data Science

Tools

LIANA+

Cellchat

MultiNicheNet

Job description

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

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:

Career Programs

Job Sub Function:

Non-LDP Intern/Co-Op

Job Category:

Career Program

All Job Posting Locations:

Cambridge, Massachusetts, United States of America

Job Description:

Johnson & Johnson Innovative Medicine is seeking a highly motivated PhD Co-op to join the Neuroscience DDSAI team for Spring 2027. This role offers a unique opportunity to work within the team building out a large single-cell and multi-omics atlas for neuropsychiatry.

The successful candidate will develop and apply advanced computational approaches to understand cell-type-specific disease mechanisms, map cell-cell communication networks, identify dysregulated signaling pathways in neuropsychiatry, and nominate novel therapeutic targets for neuropsychiatry discovery programs at J&J.

In addition to cell-cell communication analyses, the candidate will explore cutting-edge AI/ML approaches that leverage large-scale single-cell, genetic, transcriptomic, proteomic, and multimodal datasets to systematically prioritize actionable therapeutic targets and pathways.

Target Hire Date: 01/4/2027

Target End Date: 6/30/2027

Qualifications

Required

• Currently pursuing a PhD in one of the following or a related quantitative discipline: Computational Biology, Bioinformatics, Systems Biology, Biomedical Sciences, Neuroscience, Computer Science, Data Science.
• Strong programming skills in Python and/or R (including effective use of AI-assisted coding).
• Experience analyzing high-dimensional multimodal biological datasets, with a preference for single-cell RNASeq, ATACSeq, proteomics, and genomics datasets.
• Familiarity with machine learning, statistics, and computational biology methods.
• Strong scientific communication and presentation skills.

Preferred

• Experience with graph analytics, network biology, knowledge graphs, or generative AI methods.
• Familiarity with cell-cell communication modeling tools (LIANA+, Cellchat, MultiNicheNet etc.), pathway analysis, and systems biology.

Candidate Eligibility Requirements

Candidates must:

• Be authorized to work in the US without current or future sponsorship requirements.
• Remain actively enrolled in their academic program throughout the entire internship period.
• Be available to work 40 hours per week during the internship.
• Should have a minimum GPA of 3

What you will gain

Hands-on experience applying state-of-the-art AI and computational biology approaches to real-world drug discovery challenges.

Exposure to one of the largest industry efforts in Neuropsychiatry data science, multi-omics, and precision medicine.

Mentorship from multidisciplinary experts spanning data science, neuroscience, genomics, translational biology, and drug discovery.

Opportunity to contribute directly to therapeutic target nomination and portfolio decisions for future Neuropsychiatry medicines.

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.

Required Skills:

Preferred Skills:

The anticipated base pay range for this position is :

$23.50/hr to $52.50/hr

Additional Description for Pay Transparency:

The expected pay range for this position is between $23.50 per hour and $52.50 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 [6/30/2027]. 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.