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Senior Scientist, Computational Genomics - Population Analytics - Spring House, PA or Remote US.

Company: Johnson & Johnson
Location: Spring House
Posted on: January 16, 2022

Job Description:

Janssen Research & Development, L.L.C., a Johnson & Johnson company, is recruiting a Senior Scientist, Computational Genomics in our Population Analytics group. This position is located at our Spring House, Pennsylvania campus in the United States. Remote work options may be considered on a case-by-case basis and if approved by the Company.

At the Janssen Pharmaceutical Companies of Johnson & Johnson, we are working to build a world without disease. Transforming lives by finding new and better ways to prevent, intercept, treat and cure disease inspires us. We bring together the best minds and pursue the most promising science.

We are Janssen. We collaborate with the world for the health of everyone in it. Learn more at www.janssen.com and follow us @JanssenGlobal. Janssen Research & Development, LLC is part of the Janssen Pharmaceutical Companies.

Janssen Pharma R&D seeks an innovative scientist with expertise in creatively applying quantitative analysis to large-scale population-based studies and real-world data to advance our pharmaceutical and/or biomedical research, drug discovery, and development agendas. Candidates should possess excellent communication skills and broad biological interests that will enable them to effectively interact with laboratory-based scientists in our Therapeutic Areas.

She/he will be a member of the Population Analytics team, which resides in Computational Sciences within the Discovery Sciences organization. The Population Analytics team seeks to bring together researchers within and outside of Janssen with expertise in human disease genetics, statistical genetics and genetic epidemiology, computer/computational science, and high-performance computing. Its mission is to support longitudinal, population-based studies to increase our understanding of pathologies and contribute to Janssen's goals of preventing, intercepting, and treating human diseases. This team is responsible for the integration, analysis, and interpretation of data collected on various cohorts and across geographical/time scales. They work on deciphering causal factors such as genes, the environment, and an individual's lifestyle with the aim to facilitate the discovery of novel targets, biomarkers, biological mechanisms and pathways implicated in diseases. The team's goal is to use biomedical data to build a best-in-class target identification and validation engine (TIDVALE) to feed our discovery pipeline.

Role & Responsibilities

  • Contribute to the development and deployment of tools and workflows required to translate genotype/phenotype data from large population-based cohorts and targeted studies to help our researchers identify or validate potential therapeutic targets, pathways, and biomarkers implicated in disease.
  • Develop or use processes, methods, and software to efficiently process, integrate, and analyze a variety of high-dimensional data, including electronic health record, biosensor/imaging, and multi-omics data from large-scale cohorts and publicly available datasets. Contribute to the development of analytical pipelines to build our TIDVALE.
  • Provide scientific expertise on some of the aforementioned areas in collaborations with internal and external partners.

    Perform and publish high-quality research that is relevant to the mission of the organization. Effectively communicate data and results to our partners within and outside of J&J and work productively with colleagues across J&J sectors.

    Qualifications
    • An Ph.D. or MD/Ph.D. in biology, bioinformatics, computer/computational sciences, data science, statistical genetics, mathematics, statistics, or a related subject area is required with 3 years of relevant experience in either academia or industry.
    • A minimum of 5 years post-graduate experience (academic or industry) in data analytics in the biological, biomedical, computing, or physical sciences is preferred. Postdoctoral experience may be counted towards this time.
    • Strong computational/bioinformatics analysis and visualization skills and a proven track record of working with other scientists to deliver on objectives in defined timelines are required.
    • Independence, self-motivation, an innovation-focused mindset, and the ability to excel in a goal-oriented, multidimensional, and fast-paced team environment are required.
    • Experience with the processing and analysis of genomics data and high-performance computing is required.
    • Experience working with a variety of computational platforms is a plus. (Examples may include: distributed computing systems, cloud-based analytical platforms, and/or cloud-native computing environments)
    • Excellent communication and organizational skills are required. Experience collaborating with cross-functional scientific teams is preferred.
    • Experience with drug discovery, drug development, and project support in a pharmaceutical setting is a plus.
    • Experience with Artificial Intelligence/Machine Learning (AI/ML), especially in an industry setting, is a plus.
    • Experience using software development tools (e.g., version control, Atlassian products, Docker/Singularity) and programming (esp. Python and/or R) in a collaborative scientific environment is a plus.
    • The role will require up to 15% domestic/international travel and will be based in our Spring House, Pennsylvania campus in the United States. Remote work options may be considered on a case-by-case basis and if approved by the Company.

      At Johnson & Johnson, we're on a mission to change the trajectory of health for humanity. That starts by creating the world's healthiest workforce. Through cutting-edge programs and policies, we empower the physical, mental, emotional, and financial health of our employees and the ones they love. As such, candidates offered employment must show proof of COVID-19 vaccination or secure an approved accommodation prior to the commencement of employment to support the well-being of our employees, their families and the communities in which we live and work.

      For more information on how we support the whole health of our employees throughout their wellness, career and life journey, please visit www.careers.jnj.com.

      The base pay range for this position is $106,500 to $213,000. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis. Employees may be eligible to participate in Company employee benefit programs such as health insurance, savings plan, pension plan, disability plan, vacation pay, sick time, holiday pay, and work, personal and family time off in accordance with the terms of the applicable plans. Additional information can be found through the link below.

      Information on benefits can be viewed by following this link: https://www.careers.jnj.com/employee-benefits

      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.

      IND7

      Primary Location

      United States---

      Other Locations

      United States-Pennsylvania-Spring House

      Organization

      Janssen Research & Development, LLC (6084)

      Job Function

      R&D

      Requisition ID

      2105994540W

Keywords: Johnson & Johnson, Philadelphia , Senior Scientist, Computational Genomics - Population Analytics - Spring House, PA or Remote US., Other , Spring House, Pennsylvania

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