Postdoctoral Fellow - Computational Biology & Omics Data Analytics
Janssen Research & Development LLC, a Johnson & Johnson company, is recruiting a Postdoctoral Fellow to work on drug target identification/evaluation in Neuroscience and Oncology therapeutic areas in the Population Analytics & Insights group, Data Sciences organization. The primary location for this position is Spring House, PA, USA. Qualified candidates can be considered for a remote position.
The Data Science Analytics & Insights team within Janssen R&D develops innovative solutions using a variety of data sources across multiple different disease areas. We are looking for a highly motivated and dedicated postdoctoral researcher who will work on analyzing large-scale genomics data to strengthen our research capacity in disentangling the molecular drivers of Parkinson's disease and cancers aimed at pushing the boundaries of data-driven drug discovery using the ground breaking computational and algorithmic tools.
At Janssen, we strive to bring in the brightest minds in pursuit of developing effective and safe therapeutics for patients around the globe! Learn more at www.janssen.com and follow us @JanssenGlobal. Janssen Research & Development, LLC is part of the Janssen Pharmaceutical Companies.
Key responsibilities:
The postdoctoral fellow will be primarily responsible for analyzing Omics data in two main contexts:
(a) Parkinson's disease;
(b) target toxicity/liability assessment of oncology-related target genes using omics data and network-based models.
The postdoctoral researcher will work closely with a team of scientists in disease genetics, computational genomics, AI and machine learning, neuroscience and oncology therapeutic areas to design and implement computational pipelines, analyze and interpret the results, and communicate the findings through internal presentations, conferences and scientific publications. The postdoc researcher will also have opportunities to collaborate with other researchers and institutions on related projects:
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.:
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