1

Bioinformatics Engineering Jobs (NOW HIRING)

In addition, bioinformatics analysis of various types of patient genomic, epigenomic and ... engineering concepts • Knowledge of algorithms, data structures, machine learning • Prior ...

... engineering practices (Git, testing, documentation). • Workflow + compute operations experience: Nextflow/Snakemake/WDL; running large genomics workloads on on prem HPC (e.g., Slurm/LSF) and AWS (e ...

... engineering practices (Git, testing, documentatio n). • Workflow + compute operations experience: Nextflow/Snakemake/WDL; running large genomics workloads on on prem HPC (e.g., Slurm/LSF) and AWS ...

Bioinformatics Engineer

Hayward, CA · On-site

$120K - $155K/yr

Arcusis seeking a Bioinformatics Engineer that will work in a highly embedded, collaborative model with colleagues across the organization. The engineer will join highly technical, interdisciplinary ...

Bioinformatics Engineer

Hayward, CA · On-site

$120K - $155K/yr

Description Arcus is seeking a Bioinformatics Engineer that will work in a highly embedded, collaborative model with colleagues across the organization. The engineer will join highly technical ...

Arcus is seeking a Bioinformatics Engineer that will work in a highly embedded, collaborative model with colleagues across the organization. The engineer will join highly technical, interdisciplinary ...

New

Arcus is seeking a Bioinformatics Engineer that will work in a highly embedded, collaborative model with colleagues across the organization. The engineer will join highly technical, interdisciplinary ...

New

next page

Showing results 1-20

People also search for

Bioinformatics Engineering information

See salary details

$43K

$131.1K

$238.5K

How much do bioinformatics engineering jobs pay per year?

As of Jun 7, 2026, the average yearly pay for bioinformatics engineering 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 the difference between Bioinformatics Engineering vs Bioinformatics Analyst?

AspectBioinformatics EngineeringBioinformatics 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, healthcare institutionsResearch institutions, healthcare, pharmaceutical companies
Employer & Industry UsageDevelops tools, pipelines, and software for data analysisInterprets data, generates reports, supports research projects

Bioinformatics Engineering focuses on developing software and pipelines for data processing, requiring programming expertise. In contrast, Bioinformatics Analysts primarily interpret data and generate insights, often with a stronger emphasis on biological knowledge. Both roles are vital in biotech and healthcare industries, but they differ in technical scope and daily tasks.

What is a bioinformatics engineer?

A bioinformatics engineer is a professional who develops and applies computational tools and techniques to analyze and interpret biological data, such as DNA sequences or protein structures. They combine expertise in computer science, biology, and mathematics to create software, manage databases, and solve complex biological problems. Bioinformatics engineers often work in research, pharmaceuticals, healthcare, and biotechnology industries to help advance scientific discoveries and medical innovations.

How do bioinformatics engineers typically collaborate with biologists and data scientists in a research setting?

Bioinformatics engineers frequently work in cross-disciplinary teams, partnering closely with biologists to understand experimental goals and with data scientists to analyze complex datasets. Effective communication is key, as engineers must translate biological questions into computational workflows and interpret results in a way that is meaningful to non-technical team members. This collaborative approach not only accelerates research but also helps engineers gain a deeper understanding of biological processes, which can lead to more innovative solutions and professional growth.

What is the salary of a bioinformatics engineer?

The average salary of a bioinformatics engineer typically ranges from $70,000 to $120,000 per year, depending on experience, education, and location. Professionals with advanced skills in programming, data analysis, and familiarity with tools like Python, R, and Linux tend to earn higher salaries.

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 solid background in biology, computer science, and statistics, often supported by a degree in bioinformatics or a related field. Familiarity with programming languages like Python or R, experience with bioinformatics tools (e.g., BLAST, GATK), and proficiency with databases and cloud computing platforms are typically required. Strong problem-solving, analytical thinking, and collaboration skills set standout professionals apart in this interdisciplinary field. These competencies are crucial for effectively analyzing complex biological data and driving innovation in life sciences research.
More about Bioinformatics Engineering jobs
What cities are hiring for Bioinformatics Engineering jobs? Cities with the most Bioinformatics Engineering job openings:
What states have the most Bioinformatics Engineering jobs? States with the most job openings for Bioinformatics Engineering jobs include:
Infographic showing various Bioinformatics Engineering job openings in the United States as of May 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 69% In-person, 6% Hybrid, and 25% 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

Other

Posted 21 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