Senior Scientist Omics - IMM

Johnson & Johnson

Remote

Quick summary

Work type: Remote
Location: Spring House, PA
Salary: $109,000–$174,800 / yr
Posted: 7 days ago
Closes: Jun 27, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $191k

This role $142k

$95k most similar roles pay here $239k

This role pays less than 82% of similar roles. Most pay $161,500–$221,000 — the shaded band above. At the midpoint, this role pays about $142k versus about $191k for comparable roles.

Based on 240 similar postings.

Employer

About Johnson & Johnson

Johnson & Johnson is a multinational corporation operating in three main segments: consumer health products, pharmaceuticals, and medical devices, known for brands like Tylenol, Band-Aid, and Janssen. Industry: Pharmaceuticals & Medical Devices

Johnson & Johnson currently has 68 open roles on FindRole.

Listed pay typically runs $117,000–$201,250 across 65 roles with salary data.

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At a glance

TL;DR · Senior Scientist Omics - IMM

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Johnson and Johnson's Innovative Medicine division is seeking a Senior Scientist to join their Population Analytics & Insights team within the Data, Data Sciences and AI organization in Spring House, PA. This role involves developing innovative solutions by integrating clinical, genetic, omics, and cell phenotype data to enhance drug target evaluation and patient stratification for immunology research. The incumbent will apply machine learning, network-based models, and novel algorithmic approaches to analyze multimodal datasets and provide technical expertise in predicting on- and off-target treatment effects. Key responsibilities include collaborating with cross-functional teams to implement natural language processing techniques for annotating targets and networks, and translating computational findings into actionable insights for biological validation. The ideal candidate holds a Ph.D. in quantitative biology fields such as bioinformatics or systems biology, with 2-3 years of postdoctoral experience, proficiency in multi-omic data analysis at bulk and single-cell levels, and strong programming skills. Preferred qualifications include expertise in immunology, predictive modeling for target engagement, and drug discovery practices in a pharmaceutical setting.

Skills

Python R SQL Machine Learning Deep Learning NLP Network Analysis Bioinformatics Tools Genomics Databases Single Cell Data Analysis Immunology Data Analysis Pharmaceutical Data Standards Collaborative Research Platforms

What you'll do

Develop an analytic framework integrating perturbation and molecular datasets to enhance target evaluation.
Analyze multimodal data to predict qualities and liabilities associated with on- and off-target treatment effects.
Apply statistical modeling and AI/ML methods to identify targets and biomarkers for immune-mediated diseases.
Translate computational analysis findings to support biological validation in drug discovery projects.
Work with teams to implement NLP approaches for annotating targets, biomarkers, and networks.

What we're looking for

Ph.D. in quantitative Biology field required.
2-3 years of post-PhD experience is required.
Experience with multi-omic data at bulk and single-cell levels is required.
Proficient programming skills and ability to work collaboratively are required.
Strong communication, organizational, and leadership skills are required.
Independent and innovative approach in a fast-paced environment is required.

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