
Part-Time Research Support - Medicine
Part-timePenn State University Talent Acquisition
University Park, PAPart-timeSeen 2w agoSeen in employer's feed 1w ago
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At a glance
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Job overview
The Part-Time Research Support position joins a multidisciplinary team studying lower-jaw development and its relationship to congenital craniofacial disorders. The employee supports imaging, data management, and computational workflows by organizing research datasets, preparing imaging data, and running established machine-learning workflows. The role also includes quality checks and collaboration to resolve data discrepancies, with limited hands-on wet-lab specimen preparation possible.
Skills & qualifications
Skills
Full job description
APPLICATION INSTRUCTIONS: 1. 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. 2. 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. 3. 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, seeNotice to Out of State Applicants. JOB DESCRIPTION AND POSITION REQUIREMENTS Join a multidisciplinary research team investigating how the lower jaw develops and how disruptions in this process may contribute to congenital craniofacial disorders. This position offers an opportunity to contribute to innovative developmental biology research by supporting the imaging, data management, and computational workflows that drive scientific discovery. This position will play an important role in ensuring that large imaging and research datasets are accurately organized, prepared, and ready for analysis. Responsibilities include managing data transfers, maintaining project databases, preparing imaging data, assisting with data collection, and executing established Python-based machine learning workflows. The employee will also perform quality assurance checks, document results, and identify and help resolve data discrepancies in collaboration with the research team. There may be limited, hands on wet lab work preparing specimens for imaging. The ideal candidate is detail-oriented, comfortable working with large datasets, and interested in applying computational tools to biomedical research. This position provides hands-on experience supporting advanced imaging and machine learning approaches in a research environment, while helping generate reliable data to advance understanding of jaw development, bone formation, and craniofacial disease. 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. Federal Contractors Labor Law Poster PA State Labor Law Poster Penn State Policies Copyright Information Hotlines Penn State is an equal opportunity, affir ative action 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.
How this job compares
Set against the 681 open Research Assistant jobs on Olive Jobs, counted November 10, 2026.
- Pay
- This postingNot listed
- US median$47–60K/yr84 salary ranges
- Pennsylvania median$12–16/hr38 hourly ranges
- Openings
- Olive Jobs lists 78 open Research Assistant jobs in Pennsylvania and 681 across the US. 4% of them nationwide are listed as remote or flexible.
- Hiring the most in Pennsylvania
- Penn State University Talent Acquisition (this employer)38 open
- University of Pennsylvania20 open
- Carnegie Mellon University7 open
- Experience
- Research Assistant postings that state a minimum ask for 1 year of experience at the median; the middle half ask for 1 to 2 years (152 postings).
- Education
- 187 of the 681 open Research Assistant jobs (27%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 10, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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