LEAD COMPUTATIONAL BIOLOGIST

Job Description:
Provides day-to-day leadership for the bioinformatic, data management and analytics efforts of Therapeutic Tumor Microenvironment Strategies

Responsibilities:

• 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

Qualifications:

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

---

Requeriments :

• Doctorate Degree

Skills :

• Bioinformatics
• Computational Biology
• Data Mining
• Database design
• Statistics

Areas :

• Computational Biology

---

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

[Click Here to Access the Original Job Post]