Bioinformatics Research Specialist

University of Pittsburgh


Bioinformatics Research Specialist
Med-Pediatrics  Pennsylvania-Pittsburgh  (23007857)
 Organizes and facilitates data collection and conducts statistical analysis of datasets while working across multiple, simultaneous projects. Applies scientific methodology and statistical analyses to implement appropriate methodologies for complex data management and statistical analyses. Facilitates algorithm development, software development, and result interpretation. Assists with grant preparations and staff training. Manipulates datasets and clean data and facilitates quality control procedures to ensure data accuracy.
 The Bioinformatics Core Facility within the Division of Health Informatics in the Department of Pediatrics is seeking a Bioinformatics Research Specialist. The Bioinformatics Research specialist will work as a data scientist/health informatician/bioinformatician and lead the analysis of multi-omics datasets across a broad range of pediatric diseases. The candidate will independently develop informatics methods/algorithm development to analyze omics datasets generated from research and clinical projects at UPMC Children’s Hospital of Pittsburgh, developing nf-core pipelines, creating, and deploying shiny apps. The candidate will also work in close collaboration with the faculties and physicians at Children’s and provide support with high-throughput data analysis, statistical support, grant preparation, manuscript writing, and scientific presentations. Equivalent relevant work experience may be substituted for degree requirement. PhD is preferred. This position is located at UPMC Children’s Hospital of Pittsburgh in Lawrenceville. PA Child Abuse History Clearance, PA State Police Criminal Record Check, and FBI Criminal Record Check will be required prior to the start of employment. Also, a current TB test will be required as a condition of employment. EEO/AA/M/F/Vets/Disabled. 

The University of Pittsburgh is committed to championing all aspects of diversity, equity, inclusion, and accessibility within our community. This commitment is a fundamental value of the University and is crucial in helping us advance our mission, which includes attracting and retaining diverse workforces. We will continue to create and maintain an environment that allows individuals to discover, belong, contribute, and grow, while honoring the experiences, perspectives, and unique identities of all.


The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EOE, including disability/vets.


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Assignment Category Full-time regular
Job Classification Staff.Medical Data Scientist II
Job Family Research
Job Sub-Family Data Science
Campus Pittsburgh
Minimum Education Level Required Master’s Degree
Minimum Years of Experience Required 3
Will this position accept substitution in lieu of education or experience?  Combination of education and relevant experience will be considered in lieu of education and/ or experience requirement.
Work Schedule This position may require flexibility with shift/hours.
Work Arrangement Hybrid: Combination of On-Campus and Remote work as determined by the department.
Hiring Range TBD Based Upon Qualifications
Relocation Offered No
Visa Sponsorship Provided Yes
Background Check For position finalists, employment with the University will require successful completion of a background check
Child Protection Clearances The following PA Act 153 clearances and background checks are required prior to commencement of employment and as a condition of continued employment: PA State Police Criminal Record Check, FBI Criminal Record Check, PA Child Abuse History Clearance.
Required Documents Resume
Optional Documents Cover Letter
Essential Functions · Organizes and facilitates experimental design and power analysis.
· Facilitates algorithm/methods development, software development, and result interpretation of high-throughput omics datasets including, but not limited to, single cell and spatial omics.
· Applies bioinformatics methodology and statistical analyses to conceptualize, propose, and implement appropriate methodologies for complex data analyses of all types of omics data.
· Assists with the preparation of grant applications and submission of manuscripts for publication in peer reviewed scientific journals. Revise analysis sections and results as requested by investigators and journal editors.
· Generate, document, and maintain reproducible analytical pipelines.
· Ability to manage multiple and conflicting obligations and deadlines.
· Demonstrated ability to work and communicate with an extensive array of collaborators.
· Conduct hands-on data analysis workshops to a broad range of audience.
· Assists with training staff as directed.

Physical Effort Desk job – requires long hours of sitting.

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