Part-Time Research Support - Medicine

Penn State University; United States; Hybrid; USD 52.000 - 76.000; Vollzeit

Zusammenfassung

Penn State University seeks a detail-oriented analyst to support a multidisciplinary craniofacial development project. You will organize large imaging datasets, manage transfers, prepare data, and help run established Python-based machine learning workflows in a research setting.

Responsibilities include QA checks, documenting results, and resolving data discrepancies in collaboration with the team; limited hands-on wet lab work for specimen preparation may occur as needed to support imaging.

Qualifikationen

• The ideal candidate is detail-oriented, comfortable working with large datasets, and interested in applying computational tools to biomedical research.

Aufgaben

• Manage data transfers and maintain project databases.
• Prepare imaging data and assist with data collection.
• Execute established Python-based machine learning workflows.
• Perform quality assurance checks and document results.
• Identify and help resolve data discrepancies in collaboration with the research team.
• May perform limited hands-on wet lab work preparing specimens for imaging.

Jobbeschreibung

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.

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.

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