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Research Data Scientist - Molecular and Precision Medicine / Medicine

Penn State Open · verified Oct 24, 2026
College of Medicine Full-time Mid-level Data Science

At a glance

Mid-level Data Science role at Penn State. College of Medicine · full-time · $91,488–$137,280 base.

SalaryStated by Penn State
$91,488 – $137,280
Base salary for this role, in USD per year, as published in the posting.
RoleData Science
SeniorityMid-level
LocationCollege of Medicine
EmploymentFull-time
Base pay$91,488–$137,280
PostedJul 10, 2026 · 3mo ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Analyze biological and multi-omics data, including single-cell results, using computational and statistical methods
  • Build reproducible Python workflows, analytical pipelines and software for research questions
  • Work with faculty on study design, data analysis and interpretation across biomedical projects
  • Create figures and summaries for manuscripts, grant applications and presentations
  • Help trainees and junior investigators apply sound data analysis practices

What you bring

  • A PhD in bioinformatics, computational biology or a related field, or the stated equivalent combination of education and experience
  • At least six years of relevant experience, with a master's degree or the accepted education-and-experience equivalent
  • Strong Python programming skills and experience analyzing high-dimensional biological or omics data

Who this fits

This role suits a senior bioinformatics researcher who can work across disciplines and support several research projects. The position is funded for one year, with continuation dependent on university need, performance or funding. Applicants must already be authorized to work in the United States, as visa sponsorship is unavailable.

From the employer

APPLICATION INSTRUCTIONS:

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 position is funded for 1 year(s); continuation past 1 year(s) will be based on university need, performance, and/or availability of funding.

​

POSITION SPECIFICS​

Position Summary

The Penn State College of Medicine, Department of Molecular and Precision Medicine and Department of Medicine, seek a PhD-trained Senior Bioinformatician / Research Data Scientist to support an expanding portfolio of translational and precision health research programs. The successful candidate will develop, implement, and evaluate advanced computational and statistical approaches to analyze high-dimensional biological data, including multi-omics datasets. This role will collaborate closely with faculty investigators across disciplines—including aging biology, infectious diseases, cancer biology, and mucosal immunology—to integrate genomics, transcriptomics (including single-cell), proteomics, and related datasets into mechanistic and translational insights.

The Senior Bioinformatician will serve as a key computational partner across multiple projects, contributing to study design, data analysis, visualization, and interpretation while helping to build sustainable computational infrastructure within the department.

Key Responsibilities

  • Develop, select, and apply advanced computational and statistical methods to analyze complex biological datasets
  • Perform integrative multi-omics analyses (e.g., genomics, transcriptomics, single-cell RNA-seq, proteomics, 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 high-quality 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

Preferred Qualifications

  • PhD in Bioinformatics, Computational Biology, Biology, Biomedical Sciences, Biostatistics, Computer Science, or related field
  • Demonstrated experience analyzing high-dimensional biological or omics datasets
  • Strong programming skills in Python (required) and familiarity with data science frameworks
  • Experience with single-cell data analysis tools (e.g., Scanpy or similar platforms)
  • Experience integrating multi-omics datasets
  • Ability to work collaboratively across interdisciplinary research teams
  • Strong written and verbal communication skills
  • Background in biology, immunology, cancer biology, infectious diseases, aging, or related biomedical fields
  • Experience working in an academic medical center environment
  • Familiarity with high-performance computing environments and cloud-based analysis
  • Track record of contribution to peer-reviewed publications

Impact of the Role

This position will serve as the senior bioinformatics lead across multiple translational research initiatives, enabling integration of large-scale datasets into biologically meaningful discoveries. The role is central to advancing precision health initiatives and strengthening the department’s computational research capacity.

MINIMUM EDUCATION, WORK EXPERIENCE & REQUIRED CERTIFICATIONS

Master's Degree
6+ years of relevant experience; or an equivalent combination of education and experience accepted
Required Certifications:
None

BACKGROUND CHECKS/CLEARANCES

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

Penn State does not sponsor or take over sponsorship of a staff employment Visa. Applicants must be authorized to work in the U.S.

SALARY & BENEFITS

The salary range for this position, including all possible grades, is $91,488.00 - $137,280.00.

Salary Structure - Information on Penn State's salary structure

Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being. In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust retirement plans and substantial paid time off which includes holidays, vacation and sick time. One of the standout benefits is the generous 75% tuition discount, available to employees as well as eligible spouses and children. For more detailed information, please visit our 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.

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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Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.