Senior Scientist, Data Science

Location: Spring House

This job is with Johnson & Johnson, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

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. Learn

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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:

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
The Population Analytics and Insights, a part of Data Science and Digital Health at Johnson & Johnson Innovative Medicine, is recruiting a Senior Scientist to work on drug target identification/evaluation in Neuroscience therapeutic area. The primary location for this position is Spring House, PA, USA. No remote option is available for this position.
The Data Science Analytics & Insights team develops innovative solutions using a variety of data sources across multiple different disease areas. We are looking for a highly motivated and self-driven scientist who will work on analyzing large-scale genomics data to strengthen our research capacity in disentangling the molecular drivers of neuropsychiatric conditions aimed at pushing the boundaries of data-driven drug discovery using the cutting-edge computational and algorithmic tools.

KEY RESPONSIBILITIES:

This position is defined on two main contexts:
(a) Neuropsychiatric conditions
1) identify genetically-driven therapeutic targets leveraging a wealth of biobank scale data such as genetics, proteomics and other omics data modalities
(2) precision stratification of patients and characterize genomic manifestations of disease subtypes using a wide variety of large-scale biological data and computational methods;
(b) on-target toxicity/liability assessment of neuroscience-related target genes using omics data and network-based models.

The Senior Scientist will work closely with a team of scientists in disease genetics, computational genomics, AI and machine learning as well as neuroscience therapeutic area to design and implement computational pipelines, analyze and interpret the results, and communicate the findings through internal presentations, conferences and scientific publications. The senior scientist will also have opportunities to collaborate with other researchers and institutions on related projects:
Conceive, develop, and implement analytical solutions to high-priority scientific projects.

Continuous engagement and participation with scientists across JnJ to foster scientific collaborations and building a carrier network.

Analyze the large-scale genetics, proteomics, and other omics data modalities using the advances statistical and computational methods.

Publish findings in top-tier journals and conferences.

QUALIFICATIONS:

The successful candidate will have a strong background in bioinformatics, computational biology, or related fields, with experience of working with large-scale genetics data e.g. SNP array, WES/WGS and multi-omics data e.g., proteomics, transcriptomics etc.
A Ph.D. in a quantitative field - Bioinformatics, Computational Biology, Systems Biology, Statistical Genetics, Computer Science, or related fields.

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