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Bioinformatics In Jobs in Pittsburgh, PA (NOW HIRING)

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Bioinformatics In information

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$57.8K

$91.7K

$145.1K

How much do bioinformatics in jobs pay per year?

As of Jul 7, 2026, the average yearly pay for bioinformatics in in Pittsburgh, PA is $91,717.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,500.00 and $125,700.00 per year, depending on experience, location, and employer.

What is the difference between Bioinformatics In vs Bioinformatics Analyst?

AspectBioinformatics InBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fieldsBachelor's or Master's in Bioinformatics, Computer Science, or related fields
Work EnvironmentResearch labs, biotech companies, pharmaceutical firmsResearch institutions, healthcare, biotech companies
Employer & Industry UsageUsed in research, development, and clinical settingsFocuses on data analysis, interpretation, and reporting

Bioinformatics In and Bioinformatics Analyst roles share similar educational backgrounds and work environments. However, Bioinformatics In often involves more research and development tasks, while Bioinformatics Analysts primarily focus on analyzing and interpreting biological data to support research and clinical decisions.

What are the key skills and qualifications needed to thrive as a Bioinformatics Intern, and why are they important?

To thrive as a Bioinformatics Intern, you need a foundation in biology and computer science, often supported by coursework or a degree in bioinformatics, computational biology, or a related field. Familiarity with programming languages like Python or R, and experience with bioinformatics tools such as BLAST, Galaxy, or Next-Generation Sequencing (NGS) analysis platforms are typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and collaborate with research teams. These skills are crucial for accurate data analysis, meaningful scientific contributions, and successful teamwork in fast-evolving research environments.

What are bioinformatics scientists?

Bioinformatics scientists are professionals who use computational tools and techniques to analyze and interpret biological data, such as DNA, RNA, and protein sequences. They work at the intersection of biology, computer science, and mathematics to support research in areas like genomics, drug discovery, and personalized medicine. Their work often involves developing algorithms, managing large datasets, and creating software to facilitate biological research.

How does a Bioinformatics professional typically collaborate with researchers and laboratory scientists on projects?

Bioinformatics professionals often work closely with researchers and laboratory scientists to interpret complex biological data, such as sequencing results or gene expression profiles. Collaboration involves understanding the scientific goals, designing computational analyses, and translating data into meaningful insights. Regular meetings, clear communication, and iterative feedback are common, ensuring that computational work aligns with experimental needs. This teamwork helps bridge the gap between raw data and actionable scientific discoveries.
Bioinformatics In jobs near you
Post Doctoral Associate

Post Doctoral Associate

University of Pittsburgh

Pittsburgh, PA

Other

Re-posted 26 days 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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