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Bioinformatics Engineer Jobs (NOW HIRING)

NYULMC

Senior Bioinformatics Programmer

New York, NY · On-site

We have an exciting opportunity to join our team as a Sr. Bioinformatics Programmer working in a Molecular Diagnostics environment. This position is an onsite role for a minimum of 6 months with the ...

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$43K

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$238.5K

How much do bioinformatics engineer jobs pay per year?

As of Jun 26, 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.

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Bioinformatics Engineer jobs near you
Infographic showing various Bioinformatics Engineer job openings in the United States as of June 2026, with employment types broken down into 72% Full Time, 14% Part Time, and 14% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $131,053 per year, or $63 per hour.
Customer Success Engineer, Bioinformatics

Customer Success Engineer, Bioinformatics

Watershed Informatics

Cambridge, MA • On-site

Full-time

Posted 9 days ago

Job description

About Watershed
Our vision is to become the leading biocomputing platform. The future of biology is in big data analysis, and we are on a mission to accelerate digital drug discovery with the Watershed platform. Watershed enables scientists to conduct all essential analysis - from lab data to plot - with a single software platform.
We have attracted some of the best bioinformatics, engineering, and commercial talent, and we are growing! Join a team that's intellectually curious with a bias for action, headquartered in Cambridge, Massachusetts, composed of people who have come together to enable outcomes while empowering the research of all those committed to changing lives - all while bringing transformational change to a $40 billion industry.
About the Role
Customer Success Engineers work at the intersection of software engineering, bioinformatics, and customer success to understand and fulfill customer support needs.
Customers choose Watershed to analyze and share large biological data sources in flexible, powerful computing environments. Customers will engage you as a first escalation point - you will draw on a knowledge of Linux systems, software engineering, and bioinformatics to unpack and resolve requests.
You will track down support requests across the platform, partnering with our Product Manager and Head of Operations. Expect variety in the complexity and kinds of technology and bioinformatics challenges you face. As you troubleshoot recurring issues, you will document and elevate common requests and fixes to improve future support.
Responsibilities
  • Develop an intimate understanding of how customers use the Watershed platform.
  • Analyze and share data on customer usage, activity, and trends. Suggest upsell opportunities and advise on account-specific insights.
  • Triage, manage, and resolve incoming customer support requests. Requests will vary in complexity from Level 1 support to interrelated Linux, software, and bioinformatics issues.
  • Establish and uphold company support standards. Create resolution metrics and expand support programs as needed.
  • Create & manage a system for documenting solutions and workarounds for recurring requests so team members can resolve similar issues quickly.
  • Write platform guides and FAQs to support new feature rollouts. Develop case studies detailing tailored customer solutions.
  • Directly report to the Head of Operations & CEO. Escalate key support insights (i.e., 'buggy functions' or common user misunderstandings).
  • Ensure an excellent user experience on the Watershed platform

Qualifications
  • 1-3 years of professional experience supporting technical and non-technical customers as a bioinformatician. Experience working in a bioinformatics consultancy is strongly preferred
  • A working understanding of Linux commands, system troubleshooting, and Docker.
  • Proficiency with any one of Bash, Python, or R. Familiarity with all three is preferred.
  • Familiarity with bioinformatics, computational biology, or a Masters in Bioinformatics is preferred

Apply