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Bioinformatics Salary In Usa Jobs (NOW HIRING)

ChromoLogic

Senior Scientist, Bioinformatics

Monrovia, CA · On-site

$90K - $120K/yr

We are seeking an innovative and highly motivated Senior Scientist, Bioinformatics to lead the ... Engage in meaningful, application-driven innovation What We Offer * Competitive salary and benefits ...

Allen Institute

Bioinformatics Analyst II

Seattle, WA · On-site

$92K - $114K/yr

Bachelor's degree in bioinformatics or related biological degree with demonstrated computational ... Final salary depends on required education for the role, experience, and level of skills relevant ...

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How much do bioinformatics salary in usa jobs pay per year?

As of Aug 7, 2026, the average yearly pay for bioinformatics salary in usa in the United States is $94,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What is the difference between Bioinformatics Salary In Usa vs Computational Biologist?

FactorBioinformatics Salary In UsaComputational Biologist
Average Salary$85,000 - $110,000$80,000 - $105,000
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or Computer ScienceMaster's or Ph.D. in Computational Biology, Bioinformatics, or related fields
Work EnvironmentResearch labs, biotech companies, healthcare institutionsAcademic, research institutions, biotech firms
Industry UsageGenomics, healthcare, pharmaceuticalsGenomics, systems biology, drug discovery

Both roles have similar salary ranges and require advanced degrees in related fields. Bioinformatics specialists often focus on data analysis and software tools, while computational biologists may engage more in theoretical modeling and research. The choice depends on your specific skills and career goals within the biotech and research industries.

What is the average salary for a bioinformatician in the USA?

The average salary for a bioinformatician in the USA typically ranges from $70,000 to $120,000 per year, depending on experience, education level, and geographic location. Entry-level positions often start around $60,000, while experienced professionals or those in senior roles can earn upwards of $130,000 annually. Salaries may also vary based on industry, with positions in biotechnology, pharmaceuticals, and research institutions often offering competitive compensation packages.

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

To thrive as a Bioinformatician, you need a solid background in biology, statistics, and computer science, typically supported by a relevant degree such as bioinformatics, computational biology, or a related field. Familiarity with programming languages (like Python, R, or Perl), experience with bioinformatics tools (such as BLAST or Galaxy), and knowledge of databases (e.g., GenBank, Ensembl) are essential. Critical thinking, problem-solving, and effective communication enable you to interpret complex biological data and collaborate with interdisciplinary teams. These skills are crucial for analyzing large-scale datasets, deriving meaningful insights, and driving advancements in biomedical research.

What are some common challenges faced by bioinformatics professionals working in the USA?

Bioinformatics professionals in the USA often face challenges such as managing and analyzing large, complex datasets, staying updated with rapidly evolving technologies, and effectively collaborating with interdisciplinary teams including biologists, data scientists, and software engineers. Additionally, adapting to various research environments—whether in academia, industry, or healthcare—can require flexibility and strong communication skills. Balancing project deadlines with the need for accuracy and reproducibility in data analysis is another common aspect of the role.
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Bioinformatics Salary In Usa jobs near you
Infographic showing various Bioinformatics Salary In Usa job openings in the United States 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 $94,474 per year, or $45.4 per hour.

Bioinformatics Analyst

Albert Einstein College of Medicine

Bronx, NY • On-site

Full-time

Re-posted 4 days ago

Job description

About Us
We are seeking a highly motivated Bioinformatics Analyst to join the research group of Dr. Robert Burk at Albert Einstein College of Medicine. Our group conducts molecular epidemiology and microbiome research with an emphasis on the human microbiome (cervicovaginal, oral, and gut) and HPV-related neoplasia. This role is central to translating large-scale sequencing datasets into rigorous, publication-ready results with direct relevance to chronic disease, cancer prevention and infectious disease research. Our work has been published in high-impact journals such as Nature Communications and Cell. The ideal candidate is an independent problem solver who is comfortable taking ownership of analysis workstreams, building and maintaining reproducible pipelines, and driving projects forward from raw data to interpretable outputs. They should be collaborative, communicate clearly with wet lab and epidemiology teams, and proactively propose analytic approaches that strengthen the science and accelerate progress.
POSITION RESPONSIBILITIES
  • Pipeline development and leadership: Design, implement, document, and maintain end-to-end NGS pipelines for microbiome and HPV genomics applications (e.g., 16S/ITS1 amplicon sequencing, shotgun metagenomics, viral/HPV sequencing, bisulfite sequencing, and viral integration analyses).
  • Large-scale data processing: Perform robust QC, read processing, reference alignment, taxonomic and functional profiling, strain-level analyses where appropriate, and reproducible reporting for cohort-scale datasets.
  • Clinical and epidemiologic integration: Harmonize sequencing outputs with clinical and epidemiologic metadata (including complex longitudinal designs), perform data cleaning and validation, and generate analysis-ready tables.
  • Statistical and computational analysis: Conduct and interpret statistical analyses using R and/or Python, including microbiome-specific methods (alpha/beta diversity, ordination, PERMANOVA, differential abundance) and epidemiologic modeling (regression and related approaches), with publication-quality visualizations.
  • Project leadership and communication: Lead defined analysis workstreams, set realistic milestones, communicate risks and dependencies early, and present progress and results in lab meetings and to collaborators.
  • Troubleshooting and optimization: Diagnose and resolve complex issues (pipeline failures, batch effects, contamination artifacts, inconsistent metadata, compute bottlenecks). Improve robustness, scalability, and runtime efficiency on shared compute environments.
  • Reproducibility and best practices: Use version control (Git), structured documentation, and reproducible execution practices (workflow managers and/or containerization when appropriate). Maintain clear provenance from raw data to results.
  • Scientific contribution: Propose fresh analytic ideas, evaluate new tools and methods, and contribute to interpretation and narrative framing of findings.
  • Manuscripts and grants: Contribute figures, methods text, and analyses for manuscripts and grant applications.

QUALIFICATIONS
Required:
  • Bachelor's degree in bioinformatics, computational biology, biostatistics, epidemiology, computer science, or a related field; Master's or PhD preferred.
  • Strong programming ability in R and/or Python, plus comfort working in a Unix/Linux environment (shell scripting, HPC-style workflows).
  • Demonstrated experience processing and analyzing NGS data, including building or extending pipelines rather than only running existing ones.
  • Solid understanding of basic statistical concepts and the ability to translate scientific questions into appropriate analyses.
  • Track record of independent problem solving, attention to detail, and producing reliable, well-documented outputs.
  • Strong communication skills and a collaborative mindset for working with interdisciplinary teams.

Preferred:
  • Experience in microbiome bioinformatics (16S, ITS1, shotgun metagenomics) and/or viral genomics with familiarity with phylogenetics, or integration-related analyses.
  • Experience working with protected clinical or epidemiologic data and with best practices for data security and governance.
  • Experience analyzing large cohorts and handling confounding, batch effects, and complex study designs (longitudinal, nested case-control, matched studies).
  • Comfort translating analyses into clear figures, methods, and results text suitable for high-impact manuscripts

Practical Experience: The candidate is expected to have practical experience with bioinformatics work (handling NGS reads off the machine, etc.) and be willing and eager to adapt to new approaches. This role will be facilitated with a proactive attitude towards learning and applying new bioinformatics methods and technologies.
Additional Information
In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is listed below. Albert Einstein College of Medicine considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer.
Maximum Salary Range
USD $65,000.00/Yr.

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