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:
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  • 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.
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  • 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.
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University of Pittsburgh Data Scientist II in Pittsburgh, Pennsylvania

Data Scientist II

The Division of Gastroenterology, Hepatology and Nutrition is seeking a Data Scientist to participate in research projects that aim to improve the diagnosis and treatment of gastrointestinal conditions. The Data Scientist will be responsible for developing analytic datasets from administrative healthcare databases, such as Optum Clinformatics, the Veterans Health Affairs Clinical Data Warehouse, and UPMC. This includes translating written research protocols to computer programming code, implementing the code, and conducting data quality assurance checks to verify the research protocols were applied correctly. The incumbent will primarily work remotely and is expected to have access to a reliable, high-speed internet connection.

External 2-3 years of work experience with relational database management. Fluency with R, Stata, SAS, or SQL is preferred however candidates with experience with other computer programming languages and ability to learn the preferred statistical programming languages will be considered. Candidates may be asked to demonstrate computer programming proficiency through a practical exercise. Equivalent combination of relevant education and experience may be substituted.

Job Summary

Performs research, analysis, and modeling on organizational data and data sets utilizing advanced statistical methods to mine and analyze complex and unstructured data sets. Offers complex analysis and utilizes advanced algorithms and statistical software. Adheres to all protocols.

Essential Functions

Integrates data from one or multiple sources into analytical tools.

Provides technical support on customized analytics and reporting tools.

Physical Effort

The Data Scientist will primarily work at a computer to complete the job duties and responsibilities.

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 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: Monday - Friday, 9:00 AM to 5:00 PM Work Arrangement: Monday - Friday, 9:00 AM to 5:00 PM Hiring Range: TBD Based Upon 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 Optional Documents: Not Applicable PI238684994

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