Johnson & Johnson Posted September 18, 2026

Sr Director, R&D Data, Data Science & AI - Multiomics

Spring House, United States Full time
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About this opportunity

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:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

People Leader

All Job Posting Locations:

Spring House, Pennsylvania, United States of America

Job Description:

Johnson & Johnson Innovative Medicine (J&J IM) is seeking an exceptional scientific and organizational leader to serve as Senior Director, Multiomics – Data, Data Science & AI. This leader will oversee our MultiOmics Data Science organization, responsible for harmonizing, integrating, and analyzing multi‑modal Omics datasets across the entire R&D pipeline.

This position has a primary location of Spring House, PA and require up to 25% travel.

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

In this role, you will shape the future of how Omics data fuels AI, ML, and computational biology across J&J IM R&D, building reusable, governed pipelines, deploying cutting‑edge architectures, ensuring FAIR data practices, and collaborating deeply with therapeutic area scientists and computational experts for target discovery and disease-biology understanding.

Your organization will drive the cross-functional and shared  Omics data lifecycle: from raw data ingestion to standardized, AI‑ready assets to advanced analytical interpretation leveraged across discovery, therapeutic areas, and functions.

The team’s scientific purview includes genomics, transcriptomics, spatial technologies, proteomics, cell atlases, and patient consortia; enabling next‑generation biological insights that accelerate discovery and development programs.

Key Responsibilities

1. Strategic Leadership of Global Multiomics Data Science

Define and execute the global strategy for Multiomics Data Science across J&J R&D, ensuring data architecture, analysis, and interpretation support scientific and portfolio priorities.

Lead a high performing, multidisciplinary team of data scientists, computational biologists, and data engineers.

Establish and oversee enterprise-wide standards for Omics data integration, quality, and reuse, leveraging learnings from specialized Omics teams in the Theraputic Areas and Functions to build shared Omics workflows and resources where possible.

Drive the effective integration and analysis of largescale human biobanks and cohort datasets (e.g. FinnGen, UK Biobank, Our Future Health, etc.)

2. Enterprise Scale Omics Data Analysis

Oversee the establishment and use of reproducible, scalable, Omics pipelines that transform raw data (e.g., transcriptomics, proteomics, etc) into standardized, analysis ready data products for all departments.

Champion the use of AI and analytical methods to leverage the wealth of Omics related data the team manages and provide the tools and analytical analyses needed by our  Therapeutic Areas and Functions.

3. Multi‑Omics Integration & Cell Atlas Development

Drive innovation in cell atlas construction, including harmonization of single-cell, spatial Omics, proteomics, and genomics datasets.

Develop scientific frameworks and analytical methods to assist perturbation response modeling, disease pathway mapping, patient stratification, and target discovery.

4. Analytical Excellence & Cross R&D Partnership

Lead advanced data analysis efforts spanning genomics, transcriptomics, proteomics, and multi‑modal integration across therapeutic areas.

Collaborate closely with AI/ML teams to deliver AI enabled Omics analyses. This includes AI ready data products exposed through APIs and MCP endpoints for AI co-scientists, supporting virtual cell and multimodal foundation models, causal inference, target identification, and enabling risk predictions used across the drug portfolio.

Partner with discovery, safety, RWE, and clinical teams to identify impactful scientific questions and deliver data driven insights.

5. Data Governance, Interoperability & FAIR Principles

Ensure Omics data assets meet strict governance, reproducibility, compliance, and interoperability standards.

Create frameworks that unify Omics with other preclinical and patient data to generate insights that positively impact our drug portfolio.

6. Organizational Development and External Engagement

Mentor and develop global talent; foster a culture of scientific excellence, transparency, and innovation.

Represent J&J Innovative Medicine in key scientific consortia, academic collaborations, and industry forums on Multiomics and data science.

Qualifications

Required

Ph.D. in Computational Biology, Bioinformatics, Genomics, Systems Biology, Data Science, or related field.

12+ years of experience in Omics data science within pharma, biotech, or leading research organizations, including 7+ years building and leading scientific or technical teams.

Demonstrated expertise in multiomics data integration (e.g., genomics, transcriptomics, proteomics), workflows, assisting target identification efforts, and improving our understanding of disease biology through Multiomics analyses.

Deep experience designing largescale data systems, pipelines, and AI ready datasets.

Strong knowledge of modern computational ecosystems: Python, R, NextFlow workflow and usage, metadata/ontology frameworks, and data governance best practices.

Proven track record advising and influencing senior R&D stakeholders to translate complex data science opportunities into strategic scientific impact.

Preferred

Experience with vector embeddings, semantic search, knowledge graphs, or next generation representation learning relevant to Multiomics data.

Familiarity with clinical data standards (e.g., FHIR, OMOP, CDISC) and regulatory expectations for scientific data.

Contributions in leading roles to major cell atlas, genomics, or proteomics consortia.

Why This Role Is Unique

This is a rare opportunity to lead one of the most ambitious Multiomics Data Science organizations, shaping how Omics data powers next generation therapies in the largest biomedical company in the world. Your work will directly accelerate Johnson & Johnson’s scientific discovery, fuel AI innovation, and impact patients globally.

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.

#JRDDS #JNJDataScience #JNJIMRND-DS

Required Skills:

Preferred Skills:

Advanced Analytics, Budget Management, Business Alignment, Compliance Management, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Strategic Thinking

The anticipated base pay range for this position is :

$196,000.00 - $342,700.00

Additional Description for Pay Transparency:

Subject to the terms of their respective plans, employees are 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.

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

For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits

Job details

Seniority
Senior Director
Function
Biostatistics & Data Science
Therapeutic area
Not listed
Location
Spring House, United States
Employment type
Full time

How this role compares

Computed from every other active Biostatistics & Data Science role in our database, not just this employer's listings.

We currently track 31 comparable Senior Director Biostatistics & Data Science roles across 19 biopharma companies.

31Comparable roles tracked
28Currently active
19Companies hiring similar roles
4Countries represented

Salary context

20 of 31 peers report a salary range (USD, annualized)

Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.

This roleSubject $196,000/yr – $342,700/yr
Lowest disclosed · Director - Statistics (RWE) · Lilly $166,500/yr – $259,600/yr
Highest disclosed · Executive Director, Biostatistics · Vertex Pharmaceuticals Inc (US) $271,600/yr – $407,400/yr
Peer group range $213,050 – $339,500 (median $245,550)

Where these roles are based

Top locations among the 31 comparable roles

United States27
Germany2
France1
Switzerland1

Seniority mix

31 of 31 peers have a known seniority level

Director22
Senior Director8
Executive/VP1

Therapeutic area mix

9 of 31 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden

Oncology5
Rare Disease3
Vaccines & Infectious Disease1

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How we calculate "similar"

No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.

Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.

60%
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Function Therapeutic area Seniority Country
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Vertex Pharmaceuticals Inc (US) · Boston, United States · Executive/VP
Function Therapeutic area Adjacent seniority Country
Unmatched or unknown dimensions score exactly the same: 0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.