Medical Data Scientist at University of Pittsburgh in Pittsburgh, Pennsylvania

Job Description:

Medical Data Scientist

This position is for the Division of General Academic Pediatrics (GAP) within the Department of Pediatrics. Equivalent relevant work experience may be substituted for degree requirement. 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.

Job Summary

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.

Essential Functions

• Organizes and facilitates data collection; conducts statistical analysis of datasets. Works across multiple projects simultaneously.
• Applies scientific methodology and statistical analyses to conceptualize, propose, and implement appropriate methodologies for complex data management and statistical analyses.
• Facilitates algorithm development, software development, and result interpretation.
• Assists with preparation of grant applications and submittals of manuscripts for publication in peer-reviewed scientific journals. Revises analysis sections and results as requested by investigators and journal editors.
• Manipulates datasets and clean data; conducts statistical analyses and power analyses to determine appropriate sample size for proposed studies.
• Creates, updates, and facilitates quality control procedures to ensure data accuracy and integrity.
• Assists with training staff as directed.

Physical Effort

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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.

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: Primarily 8AM - 4:30PM; some early evenings may occur. A hybrid work arrangement is an option after successful completion of provisional period.

Work Arrangement: Primarily 8AM - 4:30PM; some early evenings may occur. A hybrid work arrangement is an option after successful completion of provisional period.

Hiring Range: To be determined based on qualifications

Relocation_Offered: No

Visa Sponsorship Provided: No

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

PI250309857

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