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Bioinformatics Associate Jobs in Coraopolis, PA (NOW HIRING)

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Bioinformatics Associate information

See Coraopolis, PA salary details

$46.7K

$194K

$381.5K

How much do bioinformatics associate jobs pay per year?

As of Aug 11, 2026, the average yearly pay for bioinformatics associate in Coraopolis, PA is $194,037.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,900.00 and $381,500.00 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.
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Bioinformatics Associate jobs near you
Infographic showing various Bioinformatics Associate job openings in Coraopolis, PA as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 28% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $194,037 per year, or $93.3 per hour.

Post Doctoral Associate

University of Pittsburgh

Pittsburgh, PA • On-site

Full-time

Re-posted 15 hours ago

Job description

A Postdoctoral Associate position in AI/Cancer Research, funded by an NIH/NIGMS R35 grant and intramural sources, is available in the laboratory of Dr. Yu-Chiao Chiu at the Department of Medicine (Division of Malignant Hematology/Medical Oncology) and UPMC Hillman Cancer Center at the University of Pittsburgh. The candidate will engage in bioinformatics research aimed at systematically understanding cancer biology, identifying diagnostic and prognostic biomarkers, and improving cancer therapy. The candidate will develop AI solutions (machine learning, deep learning, and large language models) for high-throughput multi-omics datasets (particularly single-cell and spatial omics) and large textual corpora (e.g., scientific literature).

We are seeking a highly motivated and enthusiastic individual who has recently earned a Ph.D. degree in bioinformatics, computational biology, computer science, or electrical engineering. Strong experience integrating multiple of the following components is required: computational modeling of molecular biology (particularly deep learning and large language models), large-scale cancer multi-omic datasets (TCGA, TARGET, CCLE, etc.), single-cell and spatial transcriptomic/proteomic datasets, high-throughput drug and genetic screens (DepMap, PRISM, etc.), and common bioinformatics resources (NCBI, UCSC, Ensembl, etc.). Proficiency with Linux and programming in multiple bioinformatics-relevant languages (such as Python, R, MATLAB, and Perl) is also required. Effective written and verbal communication skills and a collaborative mindset are essential.

The Chiu Lab (https://chiu-lab.org/) focuses on developing state-of-the-art multimodal AI models for cancer research. Our recent publications have been recognized by both the cancer research and bioinformatics communities, including in Cancer Research Communications (doi:10.1158/2767-9764.CRC-25-0030; presented and highlighted at the AACR Annual Meeting 2025) and Science Advances (doi:10.1126/sciadv.abh1275; highlighted by @NCIgenomics as the #1 favorite paper of the year). The Chiu Lab is actively supported by funding from the NIH (NIGMS, NCI, and OD), private foundations such as the Leukemia Research Foundation, and institutional funds.

Dr. Chiu has a proven track record of securing prestigious career development awards such as the NIH/NCI K99/R00 Pathway to Independence Award and mentoring recipients of the NIH/NCI F30 Predoctoral MD/PhD Fellowships. The selected candidate will receive personalized mentorship in career development planning, competitive award applications, and other resources available through the UPMC Hillman Cancer Center (https://hillmanresearch.upmc.edu/research/hillman-fellows/postdoctoral/). Opportunities for cross-disciplinary collaboration with clinical, translational, and basic scientists will enable the candidate to apply cutting-edge computational approaches to real-world challenges in precision oncology.

The University of Pittsburgh School of Medicine is ranked #6 in NIH funding and a Tier 1 institution in Best Medical Schools: Research. Pittsburgh is consistently ranked among the most livable U.S. cities.

Interested candidates should submit their curriculum vitae, a one-page summary of research experience and interests, and contact information for three references.

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