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.

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.

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