Full-Time

Research Data Scientist

Molecular and Precision Medicine, Medicine

Updated on 8/21/2026

Pennsylvania State University

Pennsylvania State University

Land-grant university in University Park, PA

Compensation Overview

$65.5k - $95k/yr

No H1B Sponsorship

United States

In Person

The position is funded for 6 months; continuation depends on university need, performance, and/or funding availability.

Bachelor's, PhD

Category
Medical, Clinical & Veterinary (1)
Biology & Biotech (1)
Data & Analytics (1)
Required Skills
Python
High Performance Computing (HPC)
Data Visualization
Data Science
Data Structures & Algorithms
Data Analysis

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Requirements
  • A bachelor's degree is required, with 1+ years of relevant experience or an equivalent combination of education and experience.
  • A PhD in Bioinformatics, Computational Biology, Biology, Biomedical Sciences, Biostatistics, Computer Science, or a related field is preferred.
  • Demonstrated experience analyzing high-dimensional biological or omics datasets is preferred.
  • Strong programming skills in Python and familiarity with data science frameworks are preferred.
  • Experience with single-cell data analysis tools such as Scanpy or similar platforms is preferred.
  • Experience integrating multi-omics datasets is preferred.
  • Ability to work collaboratively across interdisciplinary research teams is preferred.
  • Strong written and verbal communication skills are preferred.
  • A background in biology, immunology, cancer biology, infectious diseases, aging, or related biomedical fields is preferred.
  • Experience working in an academic medical center environment is preferred.
  • Familiarity with high-performance computing environments and cloud-based analysis is preferred.
  • A track record of contributions to peer-reviewed publications is preferred.
  • Applicants must be authorized to work in the United States.
Responsibilities
  • Develop, select, and apply advanced computational and statistical methods to analyze complex biological datasets.
  • Perform integrative multi-omics analyses, including genomics, transcriptomics, single-cell RNA sequencing, proteomics, and epigenomics.
  • Utilize and implement tools such as Scanpy and other single-cell analysis frameworks.
  • Develop and maintain reproducible workflows in Python and related programming environments.
  • Collaborate with faculty to design computational strategies aligned with research aims.
  • Develop novel algorithms, software tools, and analytical pipelines to address emerging research questions.
  • Generate visualizations and analytical summaries for manuscripts, grant applications, and presentations.
  • Contribute to interpretation of results and development of new hypotheses.
  • Support training of trainees and junior investigators in data analysis best practices.
  • Ensure data management, documentation, and reproducibility standards are maintained.
Pennsylvania State University

Pennsylvania State University

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Pennsylvania State University is a multi-campus, land-grant public research university whose mission spans undergraduate and graduate education, research, and public service.

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