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Bioinformatics Associate Jobs in Pennsylvania (NOW HIRING)

Candidates with expertise in genomics, bioinformatics, computational biology, genetics, molecular biology, reproductive biology, or related disciplines are encouraged to apply. Responsibilities:

... genomics, bioinformatics, drug discovery, infectious disease modeling, materials, and ... Associate professors should have a record of high-quality publications and demonstrate teaching ...

The Associate Director will support RWE Executive Directors in developing and executing RWE ... PhD in a field such as epidemiology, public health, biostatistics, statistics, bioinformatics ...

Master's degree in Computational Biology, Bioinformatics, Biosciences, Plant Sciences, Computer Science, Statistics, or a related field * Demonstrated experience in computational biology ...

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Bioinformatics Associate information

See Pennsylvania salary details

$49.1K

$204K

$401K

How much do bioinformatics associate jobs pay per year?

As of Aug 10, 2026, the average yearly pay for bioinformatics associate in Pennsylvania is $203,956.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,700.00 and $401,000.00 per year, depending on experience, location, and employer.

What does a Bioinformatics Associate do?

The role of a bioinformatics associate is to perform detailed data analysis in a biology or life sciences research lab. An associate is a staff scientist or researcher, and they have significant responsibilities within the lab structure. They are responsible for conducting information support using primary research as well as developing models using a data algorithm or other analytical tools. A bioinformatics associate uses these to analyze the information and data sets collected in the lab. They may also develop a storage and archiving system so that other researchers can access data sets. Qualifications to become a bioinformatics associate typically include a master’s degree or Ph.D.

What does a Bioinformatics Associate do?

A Bioinformatics Associate is responsible for analyzing and interpreting complex biological data, often using computational tools and software. They work closely with scientists to manage and process large datasets, such as genomic sequences or protein structures. Their tasks may include developing workflows, running bioinformatics pipelines, and helping to visualize and present results. Typically, they support research projects in fields like genomics, molecular biology, and drug development. Bioinformatics Associates play a key role in translating raw biological data into actionable scientific insights.

How does a Bioinformatics Associate typically collaborate with laboratory scientists and data analysts on research projects?

Bioinformatics Associates often serve as a bridge between laboratory scientists and data analysts, translating experimental requirements into computational workflows and helping to interpret complex biological data. They regularly meet with lab teams to discuss project goals, data quality, and analysis strategies, ensuring that bioinformatics approaches align with experimental designs. Collaboration is highly iterative, involving feedback loops to refine analyses based on preliminary findings and to troubleshoot data issues, which helps drive research projects forward efficiently and accurately.

What are the key skills and qualifications needed to thrive as a Bioinformatics Associate?

A Bioinformatics Associate requires a strong background in biology, computer science, and statistics, typically supported by a relevant bachelor's or master's degree. Familiarity with bioinformatics tools such as BLAST, Python, R, and experience with genomic databases are commonly expected, along with knowledge of data visualization platforms. Critical thinking, attention to detail, and effective communication help professionals interpret complex data and collaborate with scientific teams. These skills ensure accurate analysis, meaningful insights, and successful contributions to research projects in a rapidly evolving field.
What are the most commonly searched types of Bioinformatics jobs in Pennsylvania? The most popular types of Bioinformatics jobs in Pennsylvania are:
What are popular job titles related to Bioinformatics Associate jobs in Pennsylvania? For Bioinformatics Associate jobs in Pennsylvania, the most frequently searched job titles are:
What cities in Pennsylvania are hiring for Bioinformatics Associate jobs? Cities in Pennsylvania with the most Bioinformatics Associate job openings:
Infographic showing various Bioinformatics Associate job openings in Pennsylvania as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $203,956 per year, or $98.1 per hour.

Huck Institutes of the Life Sciences NSF NCEMS Postdoctoral Scholar - Bioinformatics

Penn State University

University Park, PA • On-site

Full-time

Re-posted 25 days ago


Penn State University rating

7.8

Company rating: 7.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

229th of 617 rated colleges and universities


Job description

Job Summary:
Penn State University is seeking a Postdoctoral Scholar in Bioinformatics within the Huck Institutes of Life Sciences. The successful candidate will conduct original research involving large-scale public datasets in genomic and cellular biology, collaborating with faculty and research staff.
Responsibilities:
• Conduct original bioinformatics research involving large-scale public datasets involving genomic, transcriptomic, proteomic, metabolomic, interactomic, structural, or single-cell multi-omics data.
Qualifications:
Required:
• A PhD in Bioinformatics, Computational Biology, Systems Biology, Genomics, Data Science, Molecular Biology, or a closely related field is required.
• The successful candidate will have a strong foundation in bioinformatics, biological data analysis, data integration, or systems-level analysis of molecular and cellular biology data.
• Candidates should have experience developing, implementing, or applying computational methods to large-scale biological datasets.
• Expertise in Python and/or R is expected.
• The successful candidate should demonstrate the ability to conduct research and produce scholarly outputs as evidenced by a strong record of peer-reviewed publications.
• Candidates must be independent self-starters, have a strong work ethic, strong interpersonal and written communication skills, and the ability to work well in a collaborative team environment.
Preferred:
• Experience with biological data processing pipelines, workflow development, reproducible research practices, high-performance computing, version control, or public data curation is highly desirable.
• Experience working with large-scale biological datasets is highly desirable, including genomic, transcriptomic, proteomic, metabolomic, interactomic, structural, or single-cell multi-omics data.
• Familiarity with biological databases and public data repositories, such as NCBI, GEO, SRA, ENA, UniProt, PDB, AlphaFold DB, or related resources, is also desirable.
Company:
Penn State University is a public state-related research university with campuses and facilities throughout Pennsylvania. Founded in 1855, the company is headquartered in University Park, USA, with a team of 10001+ employees. The company is currently Late Stage.

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