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Bioinformatics Engineering Jobs (NOW HIRING)

NYULMC

Senior Bioinformatics Programmer

New York, NY · On-site

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

Axle

Bioinformatics Engineer

Rockville, MD

With experts in biomedical science, software engineering, and program management, we focus on ... Axle is seeking a Bioinformatics Engineer to join our vibrant team at the National Institutes of ...

Axle

Bioinformatics Engineer

Rockville, MD

With experts in biomedical science, software engineering, and program management, we focus on ... Axle is seeking a Bioinformatics Engineer to join our vibrant team at the National Institutes of ...

Axle

Bioinformatics Engineer

Rockville, MD · On-site

With experts in biomedical science, software engineering, and program management, we focus on ... Axle is seeking a Bioinformatics Engineer to join our vibrant team at the National Institutes of ...

ACL Digital

Bioinformatics Engineer

Foster City, CA · On-site

$80/hr

... 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 ...

BiomeSense

Senior Bioinformatics Engineer

Chicago, IL · On-site

$125K - $200K/yr

Senior Bioinformatics Engineer Compensation: $125K - $200K base + 0.25% - 0.5% equity stock options ... Data Engineering - build & maintain cloud infra: databases, distributed computing workflows & REST ...

Arcus Biosciences

Bioinformatics Engineer

Hayward, CA · On-site

$120K - $155K/yr

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 ...

Axle

Bioinformatics Engineer

Rockville, MD · On-site

They are seeking a Bioinformatics Engineer to join their team supporting major pharmaceutical clients, focusing on optimizing and integrating bioinformatics workflows for high-throughput sequencing ...

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Bioinformatics Engineering information

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$43K

$131.1K

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How much do bioinformatics engineering jobs pay per year?

As of Jun 28, 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.

What engineers make $500,000?

Senior bioinformatics engineers with extensive experience, advanced skills in programming, data analysis, and familiarity with tools like Python, R, and cloud platforms can reach salaries of $500,000 or more, especially in high-demand industries or leadership roles. Achieving this level often requires a combination of technical expertise, industry experience, and sometimes managerial responsibilities.

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.

How much does a bioinformatics engineer make?

The average salary for a bioinformatics engineer typically ranges from $70,000 to $120,000 annually, 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.

What do bioinformatics engineers do?

Bioinformatics engineers develop and implement computational tools and algorithms to analyze biological data, such as genetic sequences and molecular structures. They often work with programming languages like Python or R, utilize databases, and collaborate with biologists to interpret data for research and medical applications.

What engineers make $300,000 a year?

Senior bioinformatics engineers with extensive experience, advanced skills in programming, data analysis, and familiarity with tools like Python, R, and cloud platforms can earn $300,000 or more annually, especially in high-demand biotech or pharmaceutical industries. Achieving this level often requires advanced degrees, certifications, and leadership responsibilities.
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Bioinformatics Engineering jobs near you
Customer Success Engineer, Bioinformatics

Customer Success Engineer, Bioinformatics

Watershed Informatics

Cambridge, MA

Other

Posted 12 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


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