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Director Bioinformatics Software Engineer Jobs (NOW HIRING)

... NCBI bioinformatics software and information retrieval systems * Work with a diverse group of ... Programming experience in a Linux environment * Proficiency in C++ * Experience with MS SQL server ...

... NCBI bioinformatics software and information retrieval systems * Work with a diverse group of ... Programming experience in a Linux environment * Proficiency in C++ * Experience with MS SQL server ...

... software engineering best practices including wireframe design, unit testing, version control, code review, and security and compliance. Qualifications : Required : • B.S. /M.S. /PhD in ...

You will collaborate directly with software engineers to refine analytical algorithms, build ... Direct experience analyzing HIV sequence data or viral molecular epidemiology is strongly preferred.

They are seeking a Bioinformatics Engineer to join their team supporting major pharmaceutical ... software engineers to integrate pipelines into broader analytical ecosystems • Stay current with ...

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Director Bioinformatics Software Engineer information

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$43K

$131.1K

$238.5K

How much do director bioinformatics software engineer jobs pay per year?

As of Jul 18, 2026, the average yearly pay for director bioinformatics software 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 the difference between Director Bioinformatics Software Engineer vs Bioinformatics Software Engineer?

AspectDirector Bioinformatics Software EngineerBioinformatics Software Engineer
CredentialsBachelor's/Master's/PhD in Bioinformatics, Computer Science, or related; extensive experienceBachelor's/Master's in Bioinformatics, Computer Science, or related; relevant experience
Work EnvironmentLeadership role overseeing teams, strategic planning, project managementDeveloping software, analyzing data, coding, collaborating with teams
Employer & Industry UsageBiotech, pharma, research institutions, biotech startupsResearch labs, biotech companies, healthcare, academia

The main difference between a Director Bioinformatics Software Engineer and a Bioinformatics Software Engineer lies in their responsibilities and seniority. The director oversees teams, manages projects, and sets strategic goals, while the software engineer focuses on coding, data analysis, and software development. Both roles require strong bioinformatics and programming skills, but the director's role is more leadership-oriented.

More about Director Bioinformatics Software Engineer jobs
What cities are hiring for Director Bioinformatics Software Engineer jobs? Cities with the most Director Bioinformatics Software Engineer job openings:
What are the most commonly searched types of Bioinformatics Software Engineer jobs? The most popular types of Bioinformatics Software Engineer jobs are:
What states have the most Director Bioinformatics Software Engineer jobs? States with the most job openings for Director Bioinformatics Software Engineer jobs include:
Customer Success Engineer, Bioinformatics

Customer Success Engineer, Bioinformatics

Watershed Informatics

Cambridge, MA • On-site

Full-time

Re-posted 2 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