Senior Scientist Omics - IMM

At Johnson & Johnson,we believe health is everything.

Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions 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

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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.

Learn more at https://www.jnj.com/innovative-medicine

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 biol...