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Bioinformatics Associate Jobs in Pennsylvania (NOW HIRING)

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

$65.25 - $87.25/hr

Bachelor's or Master's degree in Life Sciences, Computer Science, Bioinformatics, Information Science, or a related field. • ----- 5+ years of experience as an Information Architect or similar role ...

Assoc. Dir , Information Architecture

West Point, PA · On-site

$65.25 - $87.25/hr

Bachelor's or Master's degree in Life Sciences, Computer Science, Bioinformatics, Information Science, or a related field. 5+ years of experience as an Information Architect or similar role within ...

Experience in gene regulation, in vitro transcription, RNA biochemistry, protein-RNA interaction, protein-protein interaction, and/or bioinformatics analysis of transcriptomics data is required. The ...

Showing results 21-40

Bioinformatics Associate information

See Pennsylvania salary details

$49.1K

$204K

$401K

How much do bioinformatics associate jobs pay per year?

As of Sep 4, 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.

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.

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 most commonly searched types of Bioinformatics jobs in Pennsylvania?

The most popular types of Bioinformatics jobs in Pennsylvania are:

What job categories do people searching Bioinformatics Associate jobs in Pennsylvania look for?

The top searched job categories for Bioinformatics Associate jobs in Pennsylvania 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 1% As Needed, 75% Full Time, 22% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $203,956 per year, or $98.1 per hour.

Faculty.Professor.Professor - Full-Time

University of Pittsburgh

Pittsburgh, PA • On-site

Full-time

Re-posted 22 hours ago


Job description

The Department of Biomedical Informatics (DBMI) (https://www.dbmi.pitt.edu) is seeking to recruit faculty in biomedical informatics with expertise in artificial intelligence and machine learning (AI/ML) for tenure-track and tenured positions in the School of Medicine at the University of Pittsburgh. DBMI has eighteen primary faculty members with a focus on developing and applying AI/ML methods in clinical informatics, translational bioinformatics, clinical research informatics, and public health informatics. The University of Pittsburgh and its regional collaborator, Carnegie-Mellon University, have dozens of additional faculty scholars pursuing research in AI/ML and healthcare.
The ideal candidate will be a nationally recognized scholar who is working at the intersection of AI/ML and biomedical informatics with one or more existing federally funded research projects. Candidates must either have a PhD, which may include (but is not limited to) biomedical informatics, health informatics, bioinformatics, computer science, statistics, or information sciences, or a professional health degree (MD, RN, PharmD) with informatics training. We welcome clinicians, including internists, pediatricians, surgeons, psychiatrists, nurses, and pharmacists, particularly those with an AI/ML research track record and interest in clinical informatics, precision medicine, or public health informatics.
Successful faculty recruits will be expected to lead an independently funded research program, leverage DBMI's exceptional infrastructure, and participate in instruction and mentoring in our NLM-funded Biomedical Informatics Training Program. Clinically trained faculty can pursue clinical practice and participate in the Clinical Informatics Subspecialty Fellowship Program. Faculty also have ample opportunity to explore commercialization and entrepreneurship toward the goal of commercializing innovative research.
For an Assistant Professor position the qualifications are as follows: Must possess a doctoral degree or appropriate professional degree. Should have demonstrated teaching ability, experience in advanced study and research, or professional experience of a kind which would enable them to make an academic contribution. They should exhibit promise of originality and excellence in some field of scholarship, and should have demonstrated ability in guiding and counseling students
For an Associate Professor position the qualifications are as follows: 5+ years of experience and in addition to the degree requirements described above, an Associate Professor should have substantial experience in teaching and research and should have attained eminence in a scholarly or professional field.
For a Professor position, the qualifications are as follows: 10+ years of experience. in addition to the degree requirements described above, a Professor should have authoritative knowledge and reputation in a recognized field of learning and the achievement of effective teaching skills. They should have attained superior stature in their field through research, scholarship, and professional leadership.
The following four documents are required for an application: Cover Letter, Curriculum Vitae, Teaching Statement and Research Statement.