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:
Data Analytics & Computational SciencesJob Sub Function:
BioinformaticsJob Category:
Scientific/TechnologyAll Job Posting Locations:
Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, Spring House, Pennsylvania, United States of AmericaJob 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 Immunology
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.
Our Immunology team leads in the development of transformational medicines for immunological disorders and illnesses. You can influence where medicine is going by restoring health to millions of people living with immune diseases.
Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.
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 which is 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.
The successful candidate will have a strong technical background in bioinformatics and established track record of using bioinformatics to drive business impact. Due to the interdisciplinary nature of this role, strong technical, collaboration, communication, and time management skills are critical.
Key Responsibilities:
- 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.
Requirements:
- PhD in a field relevant to bioinformatics including, but not limited to, Computational Biology, Immunology, Biostatistics, or Computer Science.
- 4+ years 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.
- Preferred experiences:
- 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 the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.
Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).
This position is eligible to participate in the Company’s long-term incentive program.
Employees are eligible for the following time off benefits:
– Vacation – up to 120 hours per calendar year
– Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 hours per calendar year
– Holiday pay, including Floating Holidays – up to 13 days per calendar year
– Work, Personal and Family Time - up to 40 hours per calendar year
Additional information can be found through the link below. For additional general information on company benefits, please go to: - https://www.careers.jnj.com/employee-benefits
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, external applicants please contact us via https://www.jnj.com/contact-us/careers . Internal employees contact AskGS to be directed to your accommodation resource.
#LI-Hybrid
Required Skills:
Preferred Skills:
Advanced Analytics, Analytical Reasoning, Bioinformatics, Coaching, Critical Thinking, Database Structures, Data Privacy Standards, Data Science, Industry Analysis, Interdisciplinary Work, Organizing, Productivity Planning, Quality Standards, Science, Technology, Engineering, and Math (STEM) Application, Scripting Languages, Statistical Computing, Technical Credibility, Technical WritingThe anticipated base pay range for this position is :
$117,000.00 - $201,250.00Additional Description for Pay Transparency:
Skills Required
- PhD in Computational Biology, Immunology, Biostatistics, Computer Science, or related field
- 4+ years experience using computational biology to derive biological insights from molecular data in immunology or related field
- Deep technical expertise analyzing omics data, including bulk and single-cell RNA-seq
- Fluent in R and/or Python
- 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 strong motivation to learn
- Cloud computing experience
- Background in inflammatory diseases or wet lab experience
- Expertise in machine learning, data management, spatial transcriptomics, or network biology
- Ability to build and leverage a strong scientific network to drive portfolio impact
Johnson & Johnson Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Johnson & Johnson and has not been reviewed or approved by Johnson & Johnson.
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Healthcare Strength — Healthcare coverage is characterized as comprehensive across medical, dental, and vision, with added supports like onsite clinics, fitness centers, and Employee Assistance resources. Mental-health services and wellbeing reimbursements are also described as meaningful components of the overall package.
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Retirement Support — Retirement offerings are portrayed as a major differentiator, combining a 401(k) with employer matching and an employer-funded pension plan. Stock options and other long-term financial supports are also positioned as part of the broader rewards mix.
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Parental & Family Support — Family-related benefits are presented as notably strong, including paid parental leave for all new parents and additional leave types for caregiving and bereavement. Financial assistance for adoption, fertility treatment, and surrogacy is highlighted as a significant support.
Johnson & Johnson Insights
What We Do
Profound Change Requires Boldness. Johnson & Johnson is the largest and most broadly based healthcare company in the world. We’re producing life-changing breakthroughs every day, and have been for the last 130 years. The combination of new technologies and your expertise enables amazing things to happen. Teams from J&J’s consumer business are creating digital tools to help people track the health of their skin. Those working in medical devices are 3-D printing artificial joints personalized for each patient, while researchers in pharmaceuticals use AI to discover lifesaving drugs. Imagine what the rest of our team of 134,000 people at 260 companies in more than 60 countries across the world is accomplishing. We redefine what it means to be a big company in today’s world. Social Media Community Guidelines: http://www.jnj.com/social-media-community-guidelines
