Senior Scientist, Multi-Omics Analytics

Senior Scientist, Multi-Omics Analytics – Johnson & Johnson Innovative Medicine

Johnson & Johnson Innovative Medicine develops treatments that improve the health of people worldwide, with research and development spanning oncology, immunology, neuroscience, cardiopulmonary, and specialty ophthalmology. Our goal is to help people live longer, healthier lives.

Locations:
Cambridge, Massachusetts;
Spring House, Pennsylvania;
Titusville, New Jersey.

• Lead the analysis of large-scale multi‑omic projects to identify, characterize, and advance therapeutic candidates for clinical development.
• Collaborate with multidisciplinary teams to develop and apply AI/ML and computational biology models for personalized medicine insights.
• Analyze and integrate high-dimensional spatial transcriptomics and single‑cell sequencing data for model training and validation.
• Develop and implement scalable statistical and machine‑learning algorithms using large‑scale transcriptomics datasets.
• Oversee the design of experiments that facilitate rigorous model evaluation in collaboration with cross‑functional teams.
• Ensure compliance with internal coding standards, data integrity practices, and reproducibility protocols for research outputs.
• Communicate model performance and research findings through technical reports, presentations, and peer‑review publications.
• Mentor junior researchers and provide technical leadership to enhance team capabilities and research output.

• Collaborate with Data Science Oncology, Oncology Translational Research, Discovery, and Development teams.
• Analyze and integrate high‑dimensional biological data from spatial transcriptomics and single‑cell sequencing for model training and validation.
• Develop and implement scalable statistical and machine‑learning algorithms.
• Oversee the design of experiments that facilitate rigorous model evaluation.
• Ensure compliance with coding standards and reproducibility protocols.
• Communicate model performance via technical reports and presentations.
• Mentor junior researchers and provide technical leadership.

• Ph.D. in Bioinformatics, Computer Science, Artificial Intelligence, Software Engineering, or related field.
• 2+ years of relevant postdoctoral or industry experience.
• Proficient in Python and single‑cell analysis packages from the scverse consortium.
• Strong technical expertise in developing and optimizing robust, efficient bioinformatics algorithms.
• Demonstrated ability to design and implement reproducible workflows for large‑scale transcriptomic data analyses.
• Familiarity with multi‑omics models and integrating data across multiple platforms, datasets, and batches.
• Proven track record of impactful research with publications in top‑tier peer‑reviewed journals.
• Experience in defining research strategies and setting project milestones to drive innovation in foundational models.
• Strong communication skills to present complex concepts clearly to both scientific peers and non‑experts.

• First‑hand experience in solid tumor oncology research (e.g., bladder, prostate, lung, head & neck).
• Strong background in state‑of‑the‑art spatial transcriptomics technologies.
• Knowledge of therapeutic strategies and clinical implications in cancer and immune‑related diseases.

• 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 Analysis.

Anticipated base pay range: $109,000 - $174,800.

All standard J&J employee benefit programs (medical, dental, vision, life insurance, disability, group legal insurance, pension, 401(k), vacation, sick time, holiday pay, personal and family time, parental leave, condolence leave, caregiver leave, volunteer leave, military spouse time‑off) apply. Specific benefits can be found at

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.

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.