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.

This is a term position; length of the term will be discussed during the interview process. Continuation past the term length discussed will be based on university need, performance, and/or availability of funding.

 

POSITION SPECIFICS

Summary of Job:

The Penn State College of Medicine, Division of Outcomes Research and Quality in the Department of Surgery, in Hershey, PA, is seeking a highly driven post-doctoral scholar capable of executing independent research in a highly multidisciplinary team environment. Successful applicants will have expertise in health outcomes research and experience in large data analyses. Our program is a collaborative research effort that offers many opportunities for scientific interactions and advancement. This position is on campus, in person.

Duties include (but are not limited to):

• Conducting health outcomes research
• Managing and analyzing data, implementing machine learning algorithms on data
• Conducting literature reviews
• Preparing presentations, manuscripts, and grant submissions
• Assisting with research protocols and data acquisitions
• Mentoring students and promoting collaborations

Specific criteria include:

• Recent PhD (0 - 3 years) in a relevant health economics/services research, biostatistics, epidemiology or computer engineering discipline
• Strong software skills in at least one of the following: SAS (including macros and SQL), R, Python
• Experience managing large databases (preferably healthcare data)
• Strong time management and problem-solving skills, rigorous training in statistical methods, and the ability to synthesize literature to generate novel hypotheses
• Excellent organizational skills, strong attention to detail, and good communication skills

Interested candidates should apply on-line and provide a detailed CV with 2-3 references.

 

BACKGROUND CHECKS/CLEARANCES

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

 

 

 

BENEFITS

Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being.

 

For more detailed information, please visit our Benefits Page. (Note: For Postdoctoral benefits, please see our Postdoctoral Benefits page.)

 

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.

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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