Senior Scientist Omics - IMM

Location: Spring House

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 Med Tech, 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.

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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:
Scientific/Technology
All Job Posting Locations:
Spring House, Pennsylvania, United States of America
Job Description:

About Innovative Medicine

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.

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Johnson and Johnson Innovative Medicine (JJIM) is recruiting a Senior Scientist to work within the Population Analytics & Insights group (Data, Data Sciences and AI DDSAI organization) on drug target identification and evaluation to support alignment of priorities with the Immunology therapeutic area. The primary location for this position is at the Spring House, PA campus.

The DDSAI organization develops innovative solutions using a variety of data sources across multiple different disease areas. We are looking for a highly motivated and self-driven individual who will creatively analyze large-scale clinical, genetic, omics and cell phenotype data to advance our drug discovery and development pipeline in R&D.

At J&J, we strive to bring in the brightest minds in pursuit of developing effective and safe therapeutics for patients around the globe.

Role & responsibilities:

• Construct an analytic framework by integrating perturbation, ontology and cellular phenotyping with molecular based datasets including genomics, transcriptomics, proteomics, to further enhance target evaluation, and patient stratification. Use multiple inference and ML methods linking molecular targets to disease states/characteristics, to associate targets with disease pathways, and to validate predicted mechanisms systematic on-/off-target toxicity predictions. These approaches require innovative computational methods such as network-based models, machine learning, and novel algorithmic approaches to mining biological data.
• Provide scientific technical expertise in modeling multimodal data (including genetic, perturbation and functional data) to predict qualities and liabilities associated with on- and off-target treatment effects.
• Apply or develop a wide variety of statistical modeling and AI/ML methods to analyze phenomic, multiomic and biobank level data to identify targets associated therapeutic with clinical and/or molecular segments and biomarkers associated with immune mediated diseases.
• Provide design and analysis consultation for questions of interest to our Immunology stakeholders and facilitate interactions between colleagues across the organization. Translate findings from computational analyses to support functional, biological and pharmacological validation.
• Work cooperatively with different teams in Data Sciences and Therapeutic Discovery teams to implement NLP or related approaches to annotate targets, biomarkers and networks to complement classifier construction.

Job Qualifications:

• A Ph.D. in a quantitative Biology field - Bioinformatics, Computational Biology, Systems Biology, Statistical Genetics, or related fields is required.
• 2-3 years experience post PhD degree is required.
• Experience with multi-omic data (RNA gene expression, proteomics, epigenomics, genetics) at both bulk and single cell level is required.
• Proficient in programming and computational skills and demonstrated ability to work with a group of scientists to deliver on objectives in defined timelines, are required.
• Outstanding communication, organizational and leadership skills, with a successful track record of publication and collaboration with cross-functional scientific teams are required.
• Independent, self-motivated, innovative, and able to excel in a goal-oriented, multifaceted and fast-moving team environment are required.
• Experience with Immunology is preferred.
• Working knowledge of databases and analytic approaches associated with gene/pathway ontology, such as network analysis, is preferred.
• Expertise in perturbation data and analysis is preferred.
• Experience with…