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Senior Scientist Omics - IMM

Job in Spring House, Montgomery County, Pennsylvania, 19477, USA
Listing for: 6084-Janssen Research & Development, LLC Legal Entity
Full Time position
Listed on 2026-06-20
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, AI Engineer (Applied/Software), Machine Learning/ ML Engineer
  • Research/Development
    Data Scientist
Salary/Wage Range or Industry Benchmark: 109000 - 174800 USD Yearly USD 109000.00 174800.00 YEAR
Job Description & How to Apply Below
Location: Spring House

Job Title

Senior Scientist – Population Analytics & Insights (DDSAI) – Immunology Therapeutic Area

Location

Spring House, Pennsylvania, United States of America

Job Description

We are recruiting a Senior Scientist to work within the Population Analytics & Insights group (Data, Data Sciences and AI (DDSAI) organization) on drug target identification and evaluation to support alignment of priorities with the Immunology therapeutic area.

Role & Responsibilities
  • Construct an analytic framework by integrating perturbation, ontology and cellular phenotyping with molecular based datasets including genomics, transcriptomics, proteomics to enhance target evaluation and patient stratification.
  • Use multiple inference and ML methods linking molecular targets to disease states/characteristics to associate targets with disease pathways and validate predicted mechanisms systematic on-/off-target toxicity predictions.
  • Provide scientific technical expertise in modeling multimodal data (including genetic, perturbation and functional data) to predict qualities and liabilities associated with on‑and off‑target treatment effects.
  • Apply or develop a wide variety of statistical modeling and AI/ML methods to analyze phenomic, multiomic and biobank level data to identify targets associated therapeutically with clinical and/or molecular segments and biomarkers associated with immune mediated diseases.
  • Provide design and analysis consultation for questions of interest to Immunology stakeholders and facilitate interactions between colleagues across the organization.
  • Translate findings from computational analyses to support functional, biological and pharmacological validation.
  • Work cooperatively with different teams in Data Sciences and Therapeutic Discovery teams to implement NLP or related approaches to annotate targets, biomarkers and networks to complement classifier construction.
Job Qualifications
  • A Ph.D. in a quantitative Biology field – Bioinformatics, Computational Biology, Systems Biology, Statistical Genetics, or related fields is required.
  • 2-3 years experience post PhD degree is required.
  • Experience with multi-omic data (RNA, gene expression, proteomics, epigenomics, genetics) at both bulk and single cell level is required.
  • Proficiency in programming and computational skills and demonstrated ability to work with a group of scientists to deliver on objectives in defined timelines are required.
  • Outstanding communication, organizational and leadership skills, with a successful track record of publication and collaboration with cross‑functional scientific teams are required.
  • Independent, self‑motivated, innovative, and able to excel in a goal‑oriented, multifaceted and fast‑moving team environment are required.
  • Experience with Immunology is preferred.
  • Working knowledge of databases and analytic approaches associated with gene/pathway ontology, such as network analysis is preferred.
  • Expertise in perturbation data and analysis is preferred.
  • Experience with advanced analytical approaches (NLP, ML/AI, LLM) to extract relevant sources of annotation of cellular states, functions and localization from unstructured data is preferred.
  • Experience with predictive models associated with evaluation of target engagement and druggability is preferred.
  • Experience with drug discovery and development practices and project support in a large pharmaceutical setting is preferred.
Required Skills
  • Advanced Analytics
  • Business Intelligence (BI)
  • Coaching
  • Collaboration
  • 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 Analysis
Preferred Skills
  • Advanced Analytics
  • Business Intelligence (BI)
  • Coaching
  • Collaboration
  • 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 Analysis
Equal Opportunity Statement

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-) or contact AskGS to be directed to your accommodation resource.

Pay Range

Anticipated base pay range: $ - $.

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Position Requirements
10+ Years work experience
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