This job posting is anticipated to close on May 11 2026. We may however extend this time period, in which case the posting will remain available on www.careers.jnj.com to accept additional applications.
Description
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
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 ProgramsJob Sub Function:
Post Doc – Data Analytics & Computational SciencesJob Category:
Career ProgramAll Job Posting Locations:
Spring House, Pennsylvania, United States of AmericaJob Description:
The Population Analytics & Insights team, part of Data Science and Digital Health at Johnson & Johnson Innovative Medicine, is recruiting a Postdoctoral Scientist to support neuroscience research programs. This role is based in Spring House, Pennsylvania.
Our team develops innovative, data-driven solutions across multiple disease areas. In this position, you will analyze large-scale omics data to help elucidate molecular drivers of neuropsychiatric and neurodegenerative disorders, advancing AI-enabled, data-driven drug discovery through modern computational biology and machine learning approaches.
Key responsibilities
You will leverage our extensive omics resources and apply state-of-the-art computational biology and machine learning methods, with a primary focus on:
Novel target identification using integrative approaches in neuropsychiatric disorders.
Large-scale genetics association analysis.
Proteome-wide multi-task learning for target and biomarker discovery in brain diseases
Precision patient stratification and characterization of subtype-specific genomic signatures
You will work closely with scientists across disease genetics, computational genomics, AI/machine learning, and the neuroscience therapeutic area to design and implement computational pipelines; analyze and interpret results; and communicate findings through internal presentations, conferences, and scientific publications. You will also have opportunities to collaborate with external researchers and institutions on related projects.
Conceive, develop, and implement analytical solutions for high-priority scientific projects.
Engage with scientists across Johnson & Johnson to foster collaborations and build a strong professional network.
Analyze large-scale genetics, proteomics, and other omics modalities using advanced statistical and computational methods.
Publish and present findings in top-tier journals and scientific conferences.
Qualifications:
Required:
PhD in a quantitative field (e.g., Computational Biology, Systems Biology, Biostatistics, Bioinformatics, Statistical Genetics, Computer Science, or related discipline).
Strong publication record in relevant areas.
Hands-on experience applying machine learning methods (e.g., multi-task learning; supervised and unsupervised learning) to biological problems.
Proficiency in R and/or Python; working knowledge of Bash and SQL; and familiarity with high-performance computing environments.
Experience integrating multi-omics data (e.g., network-based approaches).
Excellent written and verbal communication skills, with the ability to communicate technical results to diverse stakeholders.
Ability to work independently as well as collaboratively in a multidisciplinary team environment.
Preferred:
Experience or domain knowledge in neuropsychiatric and/or neurodegenerative diseases.
Experience with bulk or single-cell transcriptomics and/or high-throughput proteomics.
Required Skills:
Preferred Skills:
Advanced Analytics, Business Intelligence (BI), Coaching, Collaborating, Critical Thinking, Data Analysis, Database Management, Data Privacy Standards, Data Reporting, Data Savvy, Data Science, Data Visualization, Econometric Models, Process Improvements, Technical Credibility, Technologically Savvy, Workflow AnalysisThe anticipated base pay range for this position is :
$79,000.00 - $127,650.00Additional Description for Pay Transparency:
Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:Vacation –120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
Holiday pay, including Floating Holidays –13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave – 80 hours in a 52-week rolling period10 days
Volunteer Leave – 32 hours per calendar year
Military Spouse Time-Off – 80 hours per calendar year
