Principal Scientist, Computational-Immunology Discovery

We are searching for the best talent for a Principal Scientist, Computational‑Immunology Discovery, to be in Spring House, PA, La Jolla, CA or Cambridge, MA.

This role is on the Immune Pathway Discovery (IPD) team, part of Immunology Discovery in the Immunology Therapeutic Area. IPD is responsible for identifying the next wave of transformational therapeutic pathways and applying human ‘omics data to advance our Discovery portfolio. We analyze and interpret high‑dimensional molecular ‘omics data to identify new therapeutic pathways, build disease rationales, and identify patient stratification approaches.

IPD supports Discovery projects from inception, through preclinical testing, and up to the transition to clinical trials. We partner closely with biologists to formulate questions, interpret results, and apply the insights we generate to influence the strategic direction of the program. This is an individual contributor role focused on supporting key projects and initiatives with computational analysis.

• Independently build, align, and execute technical plans to achieve objectives across multiple programs.
• Timely delivery of hands‑on data analysis, visualization, and interpretation for Discovery portfolio decision‑making.
• Substantially impact Discovery programs through direct technical execution and indirect contribution as a member of Discovery project teams.
• Collaborate with cross‑functional teams to drive computational insights for Discovery programs.

• PhD in a field relevant to bioinformatics, including, but not limited to, computational biology, immunology, biostatistics, or computer science.
• 4+ years of work experience using computational biology to discover biological insights from molecular data in immunology or an immunology‑related field.
• Deep technical expertise analyzing ‘omics data, including bulk and single‑cell RNA‑seq.
• Fluent in R and/or Python; cloud computing experience is a plus.
• A proven ability to communicate and collaborate across disciplines.
• Exceptional scientific rigor and attention to detail.
• Agentic AI and AI‑assisted coding experience in an industry setting, or a strong motivation to learn.

• Background in inflammatory diseases; wet‑lab experience is a plus.
• Motivation to shape the technical direction of Immune Pathway Discovery by piloting new approaches and demonstrating their potential impact.
• Expertise in machine learning, data management, spatial transcriptomics, or network biology.
• Ability to build and leverage a strong scientific network to drive portfolio impact.

The anticipated base pay range for this position is $115,000 to $227,000.

Employees and/or eligible dependents may be eligible to participate in company‑sponsored health, dental, vision, life insurance, short‑term and long‑term disability, business accident insurance, and group legal insurance. Employees may also be eligible to participate in the company’s consolidated retirement plan (pension) and savings plan (401(k)). The position is eligible to participate in the company’s long‑term incentive program. Time‑off benefits include vacation up to 120 hours per calendar year, sick time up to 40 hours per calendar year (56 hours for employees residing in the State of Washington), holiday pay up to 13 days per calendar year (including floating holidays), and work, personal and family time up to 40 hours per calendar year.

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.

We are 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, external applicants may contact us via  Internal employees can contact AskGS to be directed to your accommodation resource.