Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.

Job Information

University of Pittsburgh Data Scientist III in Pittsburgh, Pennsylvania

Data Scientist III

 

As a Data Scientist in a statistical team, you will play a key role in advancing research within the University of Pittsburgh Department of Anesthesiology and Perioperative Medicine, specializing in large-scale data integration from various data sources, advanced statistical analysis, and comprehensive study designs for observational studies and clinical trials. You will collaborate across multidisciplinary teams i.e., clinical investigators, research coordinators, data managers, and senior statisticians to support the growth of the department's research capacities. Through close involvement in manuscript publishing, grant applications, and team development, you will ensure high-quality statistical rigor, study design integrity, and protocol compliance.

Job Summary

Oversees large, complex data sets and utilizes advanced programming methods and statistical software for raw data extraction and aggregation, statistical analysis, and document programming to create analytic data files. Creates statistical reports; assists with manuscripts, grants, and regulatory submissions. Maintains data infrastructure and tracks data assets. Adheres to all protocols.

Essential Functions * Lead statistical analyses and design comprehensive statistical analysis plans for research initiatives. * Collaborate with multidisciplinary teams to achieve research objectives, align with project goals, and ensure timely completion of tasks. * Oversee and manage complex data sets, performing thorough data audits and cleaning to maintain high accuracy. * Integrate data from various sources into cohesive analytical datasets for clinical trials and observational studies. * Utilize SAS, R, and Python for data extraction, transformation, and advanced statistical analysis. * Apply advanced statistical methods, including longitudinal analysis, causal inference, statistical genetics, and machine learning, to support rigorous research outcomes. * Assist in developing statistical models, applying appropriate methodologies, and conducting sample size calculations for study design. * Develop tables and visualizations to support manuscripts, scientific presentations, grant proposals, and regulatory documentation. * Evaluate human subject research protocols to ensure full compliance with regulatory standards. * Exceptional attention to detail and commitment to data accuracy across all processes. * Effective verbal and written communication skills for engaging multidisciplinary teams. * Highly organized, with a successful record of project and time management. * Strong collaborative skills for interdisciplinary research and team-oriented projects. * Proven ability to manage multiple projects, prioritize deadlines, and uphold high research standards. Physical Effort

Must be able to sit or stand for prolonged periods of time

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.Data Scientist III Job Family: Research Job Sub Family: Data Science Campus: Pittsburgh Minimum Education Level Required: Masters Degree Minimum Years of Experience Required: 6 Will this position accept substitution in lieu of education or experience: No Work Schedule: Monday-Friday, 8:30am - 5:00 pm Wor Arrangement: Monday-Friday, 8:30am - 5:00 pm 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: Not Applicable Required Documents: Resume, Cover Letter, Writing Sample Optional Documents: Not Applicable

PI253826810

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