Senior Scientist, Multi-Omics Analytics

Johnson & Johnson•Titusville, PA

About The Position

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 https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: Cambridge, Massachusetts, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market – from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit https://innovativemedicine.jnj.com/ Johnson & Johnson Innovative Medicine is currently seeking a Senior Scientist, Multi-Omic Analytics with a strong preference for this individual to be located at one of our sites in Spring House, PA, Cambridge, MA or Titusville, NJ. Key Responsibilities: In this role, you will join the Data Science and Digital Health organization within Johnson and Johnson Innovative Medicine, focusing on leading the analysis of large-scale multi-omic projects. You will play a crucial role in identifying, characterizing and advancing therapeutic candidates for clinical development by providing innovative, multi-modal insights of complex biological regulation through the lens of computational modeling. Your responsibilities will include overseeing collaborations with multidisciplinary teams, driving model development, performing data analysis, and ensuring adherence to best practices in software engineering. Additionally, you will provide technical leadership, mentor junior scientists, and define research strategies to advance our understanding of various diseases and their underlying mechanisms.

Requirements

Ph.D. in Bioinformatics, Computer Science, Artificial Intelligence, Software Engineering, or related fields.
2+ years of relevant Postdoctoral or Industry experience.
Proficient in Python and in single-cell analysis packages part of the scverse consortium.
Strong technical expertise in developing and optimizing robust, efficient bioinformatic 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.

Nice To Haves

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

Responsibilities

Collaborate with Data Science Oncology, Oncology Translational Research, Discovery, and Development teams to develop and apply AI/ML and computational biology models that drive insights for personalized medicine.
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 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 effectively through technical reports, presentations, and contributions to peer-reviewed publications.
Mentor junior researchers and provide technical leadership to enhance team capabilities and research output.

Benefits

medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.
Company’s consolidated retirement plan (pension) and savings plan (401(k)).
Vacation –120 hours per calendar year
Sick time - 40 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
Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member
Caregiver Leave – 10 days
Volunteer Leave – 4 days
Military Spouse Time-Off – 80 hours