Postdoctoral Fellow – Computational Biology & Omics Data Analytics, US

Post-Doctoral Fellowship Position at USA, Ozbolat Laboratory at Penn State

Computational Biology & Omics: Janssen Research & Development LLC, a Johnson & Johnson company, is seeking a highly motivated Postdoctoral Fellow to work in the Population Analytics & Insights group, Data Sciences organization. The successful candidate will work on drug target identification/evaluation in Neuroscience and Oncology therapeutic areas, primarily focusing 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.

Designation: Postdoctoral Fellow

Research Area: Computational Biology & Omics Data Analytics

Location: Spring House, Pennsylvania, United States

Eligibility/Qualification: The successful candidate should have the following qualifications:

  • A Ph.D. in a quantitative field – bioinformatics, computational biology, systems biology, statistical genetics, or a related field.
  • A strong publication record in the relevant areas is required.
  • Proficient in programming languages such as R/Python, bash, SQL, etc.
  • Experience with multi-omics data integration, especially network analysis.
  • Experience/knowledge of Parkinson’s disease or cancers is a plus.
  • Experience with bulk/single-cell transcriptomics, epigenomics, and proteomics is preferred.
  • Excellent written and oral communication skills, and ability to optimally communicate technical findings with stakeholders.
  • Ability to work independently and as part of a team.

Job Description: The Postdoctoral Fellow will be responsible for analyzing Omics data in two main contexts: Parkinson’s disease and 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.

Key responsibilities include:

  • Identify genetically-driven proteome dysregulations that give rise to neurodegeneration process for novel target discovery
  • Precision stratification of patients and characterize genomic manifestations of disease sub-types using a wide variety of large-scale biological data and computational methods
  • Conceive, develop, and implement analytical solutions to high-priority scientific projects
  • Continuous engagement and participation with scientists across Janssen to develop 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 credible journals and conferences

How to Apply: Interested candidates may submit their application online through the company’s website by following the link to the job posting: Candidates offered employment must show proof of COVID-19 vaccination or secure an approved accommodation prior to the commencement of employment.

Last Date for Apply: Not specified in the job posting, interested candidates are advised to apply as soon as possible.

Note: Remote work options may be considered on a case-by-case basis and if approved by the Company. Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.



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