Postdoctoral Fellow Computational Biologist - Immunology

US026 PA Spring House - 1400 McKean Rd, United States

Johnson & Johnson

Johnson &Johnsonis a leading wholesale broker with commercial and personal lines expertise.

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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 https://www.jnj.com

Job Function:

Career Programs

Job Sub Function:

Post Doc – Drug Discovery & Pre-Clinical/Clinical Development

Job Category:

Career Program

All Job Posting Locations:

Spring House, Pennsylvania, United States of America

Job Description:

Johnson & Johnson is currently seeking a Postdoctoral Fellow Computational Biologist to join our Immune Pathway Discovery located in Spring House, PA or Cambridge, MA.  Remote work options may be considered on a case-by-case basis and if approved by the Company.

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 https://www.jnj.com/. 

This role is on the Immune Pathway Discovery (IPD) team which is part of Immunology Discovery in the Immunology Therapeutic Area. We are seeking an innovative and motivated computational biologist to join our IPD team. In this role, you will integrate high-dimensional molecular omics datasets, including scRNAseq and spatial, to unravel cell-cell communication to identify new targets, build disease rationales, predict effective combination regimens and identify patient stratification approaches. IPD supports discovery projects from idea, 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.  

The successful candidate should have a strong technical background in bioinformatics and established track record of using computational approaches to answer biological questions. Due to the interdisciplinary nature of this role, a mix of outstanding technical, collaboration and communication skills will be critical.

This role offers a dynamic environment where cutting-edge omics data converge with innovative computational strategies to push the frontiers of Immunology Discovery. If you're driven by a passion for scientific discovery and thrive in collaborative, problem-solving environments, we encourage you to apply!

Key Responsibilities:

  • Conduct research to investigate immune-mediated diseases using spatial transcriptomics and single-cell RNA sequencing technologies.
  • Integrate large-scale datasets to model the cellular interactions and mechanisms underlying immune responses and disease progression.
  • Collaborate with interdisciplinary teams to develop and validate novel hypotheses concerning immune interactions in health and disease.
  • Disseminate research findings through publications, presentations, and conferences.

Required Qualifications:

  • A Ph.D. in Computational Biology, Bioinformatics, Computer Science, Immunology, or a related field
  • Proven experience with integrating and analyzing high-dimensional omics datasets, especially single-cell and spatial transcriptomics
  • Strong understanding of network analysis, systems biology, or related computational methodologies
  • Proficiency in programming languages such as R or Python
  • Excellent communication skills, with a demonstrated ability to work collaboratively across disciplines

Preferred Qualifications:

  • Familiarity with immunological concepts and disease biology
  • Experience with machine learning and AI approaches applied to biological data analysis
  • Prior experience in developing computational tools or pipelines
  • Record of published research in computational biology or immunology-related journals

The anticipated base pay range for this position is :

$77000 - $124200

Additional Description for Pay Transparency:

The anticipated base pay range for this position is: $77000 - $124200. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual basis. 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 of Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market. 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 and 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 email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource.
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Tags: Bioinformatics Biology Computer Science Data analysis Drug discovery Machine Learning Pipelines Python R Research Testing

Perks/benefits: Career development Competitive pay Conferences Health care Insurance Salary bonus Transparency

Region: North America
Country: United States

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