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Bioinformatics Engineer Jobs (NOW HIRING)

Omni Inclusive

Bioinformatics Engineer

Secaucus, NJ · On-site

Bioinformatics Engineer As a Bioinformatics Engineer, you will work for the world leader in the industry, with a career where you will have the opportunity to collaborate and affect change while ...

Cube Hub Inc.

Bioinformatics Engineer

Foster City, CA · On-site

Bioinformatics Engineer Job Location: Foster City, CA Job Duration: 12 months Bioinformatics Engineer -- T2T Genome Assembly (Non model Organisms) Genome Assembly (PacBio HiFi / ONT) This is a 12 ...

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ACL Digital

Bioinformatics Engineer

Foster City, CA

$70 - $80/hr

Bioinformatics Engineer -- T2T Genome Assembly (Non model Organisms) Location: Foster City, CA Duration: 12 months Description: Bioinformatics Engineer role to deliver telomere to telomere (T2T ...

New

ACL Digital

Bioinformatics Engineer

Foster City, CA

$80/hr

Associate Scientist - Bioinformatics V / Bioinformatics Engineer Location: Foster City, CA Duration: 12+ Months Pay rate: $80/hr on w2 Job Descriptio nBioinformatics Engineer -- T2T Genome Assembly ...

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BiomeSense

Senior Bioinformatics Engineer

Chicago, IL · On-site

$125K - $200K/yr

Senior Bioinformatics Engineer Compensation : $125K - $200K base + 0.25% - 0.5% equity About BiomeSense BiomeSense is a pioneering life sciences startup focused on harnessing the power of the gut ...

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How much do bioinformatics engineer jobs pay per year?

As of Jun 5, 2026, the average yearly pay for bioinformatics engineer in the United States is $131,053.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,000.00 and $157,000.00 per year, depending on experience, location, and employer.

What is a Bioinformatics Engineer?

A Bioinformatics Engineer is a professional who combines expertise in computer science, statistics, and biology to develop software tools and algorithms for analyzing biological data. They often work with large datasets such as genomic sequences, protein structures, and clinical information to help scientists make sense of complex biological systems. Their work is essential in fields like genomics, personalized medicine, and drug discovery, where managing and interpreting vast amounts of data is crucial. Bioinformatics Engineers may also collaborate with researchers to design experiments and interpret results, bridging the gap between biology and technology.

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

To thrive as a Bioinformatics Engineer, you need a strong background in biology, computer science, and statistics, often supported by a degree in bioinformatics or a related field. Experience with programming languages such as Python or R, familiarity with databases, and knowledge of tools like BLAST, Bioconductor, or next-generation sequencing (NGS) analysis platforms are typically required. Strong problem-solving, analytical thinking, and effective communication skills help you collaborate with interdisciplinary teams and convey complex findings. These skills and qualifications are essential for efficiently analyzing biological data, developing robust computational tools, and advancing research in genomics and life sciences.

What Is Bioinformatics Engineering?

A bioinformatics engineer uses various methods for the analysis of complex biological data such as gene sequence and protein absorption. In this career, your job duties include performing detailed data analysis, developing data queries, and presenting your results back to the research team. The qualifications needed for a career as a bioinformatics engineer include a bachelor’s degree in engineering, statistics, computer science, or mathematics. Some employers prefer a master’s degree as well. You also need strong analytical skills and a good understanding of the biosciences.

What are some common challenges faced by Bioinformatics Engineers when integrating new data sources into existing pipelines?

Bioinformatics Engineers often encounter challenges such as data format inconsistencies, varying quality of datasets, and the need to ensure compatibility with existing analysis pipelines. Integrating new data sources may require custom scripts or tools for parsing and preprocessing, as well as thorough validation to maintain reproducibility and reliability of results. Collaboration with wet-lab scientists and software engineers is essential to clarify data requirements and streamline the integration process.

What is the difference between Bioinformatics Engineer vs Bioinformatics Analyst?

AspectBioinformatics EngineerBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skillsBachelor's or Master's in Bioinformatics, Biology, or related fields; data analysis skills
Work EnvironmentResearch labs, biotech companies, pharmaceutical firmsResearch institutions, healthcare organizations, biotech companies
Employer & Industry UsageDevelops tools, pipelines, and software for biological data analysisInterprets data, performs statistical analysis, and reports findings

While both roles require a background in bioinformatics and involve working with biological data, Bioinformatics Engineers focus on developing software and tools, whereas Bioinformatics Analysts primarily analyze and interpret data to support research and decision-making.

More about Bioinformatics Engineer jobs
What cities are hiring for Bioinformatics Engineer jobs? Cities with the most Bioinformatics Engineer job openings:
What are the most commonly searched types of Bioinformatics Engineer jobs? The most popular types of Bioinformatics Engineer jobs are:
Who are the top companies hiring for Bioinformatics Engineer jobs? The top employers for Bioinformatics Engineer jobs are:
What states have the most Bioinformatics Engineer jobs? States with the most job openings for Bioinformatics Engineer jobs include:
What job categories do people searching Bioinformatics Engineer jobs look for? The top searched job categories for Bioinformatics Engineer jobs are:
What are popular job titles related to Bioinformatics Engineer jobs? For Bioinformatics Engineer jobs, the most frequently searched job titles are:
Bioinformatics Engineer jobs near you
Infographic showing various Bioinformatics Engineer job openings in the United States as of May 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 100% In-person job distribution, with an average salary of $131,053 per year, or $63 per hour.

Bioinformatics Engineer

Omni Inclusive

Secaucus, NJ • On-site

Full-time

Posted 4 days ago

Job description

Bioinformatics Engineer

As a Bioinformatics Engineer, you will work for the world leader in the industry, with a career where you will have the opportunity to collaborate and affect change while expanding your leadership skills and technical knowledge. You can make a real impact in a market that is growing and developing.

Responsibilities:

  • Develop, validate, and implement new software applications, databases, processes, and interfaces relating to next-generation sequencing (NGS) data analysis, advanced diagnostic testing development and validation, data quality review, and clinical reporting.
  • Serve as SME on specific systems/workflows supporting advanced development and high-tier production support.
  • Prepare reports and other communications of technical activities related to business objectives such as product/process development and improvement.

Qualifications:

  • 3+ years of experience with a Bachelor's degree or 1+ year with a Master's degree and experience in an industrial or academic setting working with clinical and biological data or equivalent and underlying technologies including bioinformatic methods, database development, query/scripting/programming languages, cloud development, agile methodology, DevOps and other data analysis tools.
  • Bioinformatics tools such as Dragen, bwa, VEP, FastQC, MultiQC, samtools, bedtools.
  • Experience with sequencing data analysis, bioinformatics, variant data analysis.
  • Pipeline workflow management languages: Nextflow (preferred), Cromwell, CWL, etc.
  • Cloud Computing: AWS.
  • Infrastructure management: Terraform, AWS CDK.
  • Programming Languages: Advanced level with interpreted/scripting languages such as Python, JavaScript/typescript, R, etc.
  • Containerizing: Docker.
  • Experience with designing and working with application programming interfaces (e.g. JSON based RESTful APIs).
  • Web Frameworks: Python Flask, React Native, Bootstrap.
  • Reporting: Familiarity with R Markdown, Jupyter Notebook.
  • Visualization: Experience with any ggplot2/tidyverse, Plotly, matplot lib, Tableau, d3.js.
  • Source Control: Git.
  • CI/CD: GitHub CI/CD.
  • Familiarity with AI developer tools like GitHub Copilot.
  • Understanding of environment management.
  • Experience of working in clinical diagnostics setting (regulations, controlled processes, environment management) is a plus.

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