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Lead Computational Biologist-Therapeutic Tumor Microenvironment Strategies, NewCo2


Provides day-to-day leadership for the bioinformatic, data management and analytics efforts of Therapeutic Tumor Microenvironment Strategies NewCo2, a UPMC Enterprises funded biotech startup.

  • Develop data and analysis strategy that includes comprehensive mapping of the relevant analytical sample and phenotypic clinical patient data to be integrated for target discovery
  • Drives project specific interrogation and data mining of research database to support hypothesis-driven target discovery
  • Ensures the data infrastructure and analytics lab meets operational and regulatory requirements associated with the management and interrogation of clinical patient data
  • HIPPA compliant data management and sharing
  • Must be willing to work flexible hours as necessary, and work beyond 40hrs is likely to be required
  • Oversees the development of the required IT and data infrastructure of the lab (including cloud-based data interfaces and relevant databases) and ensures data protection.
  • Provides bioinformatics and computational biology support related to the identified goals of the TTMS
  • Support of basic data security standards
  • Works with and reports to the scientific founders and the TTMS Pre-Clinical Program Coordinator to investigate the most promising targets within the tumor microenvironment for the development of therapeutics


  •        PhD in Bioinformatics, Biostatistics or Computational Biology or combined degree

    ·       Experience in applying these skills in a life science and laboratory setting

    ·       5+ yrs of postdoctoral work with increasing responsibility

    ·       Experience with research database development focused, but not limited to transcriptomic and clinical phenotypic data

    ·       Experience working with large data sets and able to perform large data mining projects Experience in developing and validating multi-parametric, algorithm-based statistical approaches to identify meaningful correlations with clinical outcomes, including experience in QCing, annotating and integrating a broad range of multi-source data-points/signals for target discovery

    ·       Experience interfacing with and implementing cloud-based data storage and analytics

    ·       The ideal candidate is product and goal oriented, focused on a career in biotech

    ·       They are highly efficient and organized, and have a demonstrated ability to adhere to and follow defined timelines, milestone, and objectives

    ·       They can deal with uncertainty and solve problems creatively with solid judgement

    ·       The ideal candidate has demonstrated success in highly dynamic research and/or biotech setting

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UPMC is an equal opportunity employer. Minority/Females/Veterans/Individuals with Disabilities

Location: Pittsburgh, PA, United States
Job ID: 622976

UPMC is an equal opportunity employer.
Minority / Females / Veterans / Individuals with Disabilities