Job Description

APPLICATION INSTRUCTIONS:

CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process Please do not apply here, apply internally through Workday.
CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants

AND POSITION REQUIREMENTS

We are seeking a Part Time Data Analyst to support clinical informatics and health data science projects. This is a part time position. The analyst will develop data specifications and computer algorithms to support data extraction, management, and analysis efforts that inform clinical decision-making, health services and other research. The position involves both independent work and collaboration with clinicians, researchers, and data scientists. The analyst will be expected to periodically work in person in Hershey, Pennsylvania.

Preferred Qualifications

Experience with SAS and/or Python for data management and analysis
Basic knowledge of statistical methods (e.g., regression, hypothesis testing)
Familiarity with data management and cleaning techniques
Strong attention to detail and project management skills
Ability to work both independently and collaboratively

Key Responsibilities

Extract, clean, and manage large-scale datasets
Develop and maintain structured datasets for research and operational use
Perform data validation, quality checks, and documentation of data processes
Collaborate with the research teams to understand database schemas and data pipelines

Assist with cohort construction, feature engineering, and variable definition
Conduct descriptive and inferential statistical analyses
Generate tables, figures, and reports for research studies and presentations

Write and maintain code in SAS and/or Python for data processing and analysis
Work with relational databases (e.g., SQL) to query and manipulate data
Contribute to reproducible workflows and version-controlled codebases

Work closely with clinicians and investigators to translate clinical questions into analytic plans
Assist with IRB protocols, data use documentation, and regulatory compliance
Assist the manuscript and grant proposal development
Participate in team meetings and contribute to study design and interpretation

BACKGROUND CHECKS/CLEARANCES

Employment with the University will require successful completion of background check(s) in accordance with University policies.

CAMPUS SECURITY CRIME STATISTICS

Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here

EEO IS THE LAW

Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.

Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university’s teaching, research, and service mission.

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