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Bioinformatics Data Engineer Jobs in Boston, MA (NOW HIRING)

Vivo HealthStaff

Bioinformatics Scientist

Boston, MA

$170K - $190K/yr

Develop novel algorithms that turn raw sequencing data into fast, intuitive, and accurate insights ... Is curious about the intersection of biology, algorithms, and software engineering. * Gets excited ...

Vivo HealthStaff

Bioinformatics Scientist

Boston, MA · On-site

$170K - $190K/yr

Develop novel algorithms that turn raw sequencing data into fast, intuitive, and accurate insights ... Is curious about the intersection of biology, algorithms, and software engineering. * Gets excited ...

ZS

Bioinformatics Leader

Boston, MA · On-site

$200K - $229K/yr

Design and implement computational workflows for analysis of multi-omic data (genomics ... Deep, hands-on proficiency in bioinformatics tools and programming languages (e.g., Python, R ...

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All JobsBioinformatics Data Engineer JobsBioinformatics Data Engineer Jobs in Boston, MA

Bioinformatics Data Engineer information

See Boston, MA salary details

$46.7K

$142.4K

$259.1K

How much do bioinformatics data engineer jobs pay per year?

As of Jul 19, 2026, the average yearly pay for bioinformatics data engineer in Boston, MA is $142,376.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,300.00 and $170,600.00 per year, depending on experience, location, and employer.

How do Bioinformatics Data Engineers typically collaborate with researchers and other teams in a biomedical organization?

Bioinformatics Data Engineers often work closely with biologists, data scientists, and software engineers to ensure the effective collection, processing, and analysis of complex biological data. They regularly participate in cross-functional meetings to understand research goals, develop data pipelines, and troubleshoot data-related issues. Collaboration is essential, as engineers must translate scientific requirements into technical solutions, provide data access and visualization tools, and support researchers in extracting meaningful insights from large datasets. This teamwork fosters a dynamic environment where communication and adaptability are key.

What is the difference between Bioinformatics Data Engineer vs Bioinformatics Analyst?

AspectBioinformatics Data 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 EnvironmentData pipelines, database management, software developmentData interpretation, report generation, biological data analysis
Employer & Industry UsageBiotech companies, research labs, pharmaResearch institutions, healthcare, biotech
Common Search & ComparisonFocuses on data infrastructure and pipelinesFocuses on biological data interpretation

The main difference between a Bioinformatics Data Engineer and a Bioinformatics Analyst lies in their focus areas. Data Engineers build and maintain data pipelines and infrastructure, while Analysts interpret biological data to generate insights. Both roles require strong bioinformatics knowledge, but Data Engineers emphasize programming and data management, whereas Analysts focus on biological interpretation and reporting.

What is a Bioinformatics Data Engineer?

A Bioinformatics Data Engineer is a professional who designs, develops, and maintains data infrastructure for managing and analyzing large-scale biological data, such as genomics or proteomics datasets. They build pipelines and tools to process, store, and retrieve complex biological information efficiently. Their work enables researchers and scientists to access and interpret data for discoveries in fields like medicine, genetics, and biotechnology. Often, they collaborate closely with bioinformaticians, data scientists, and software engineers to support research initiatives.

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

To thrive as a Bioinformatics Data Engineer, you need a strong background in computer science, biology, and statistics, often supported by a relevant degree and experience in data engineering. Proficiency with programming languages (such as Python, R, or SQL), bioinformatics tools, cloud platforms, and big data frameworks (like Hadoop or Spark) is typically required. Strong problem-solving, collaboration, and communication skills help you work effectively across interdisciplinary teams and convey complex findings. These skills ensure accurate analysis, efficient data pipeline development, and meaningful insights that advance biological research and healthcare solutions.
What are popular job titles related to Bioinformatics Data Engineer jobs in Boston, MA? For Bioinformatics Data Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Data Engineer jobs in Boston, MA look for? The top searched job categories for Bioinformatics Data Engineer jobs in Boston, MA are:
What cities near Boston, MA are hiring for Bioinformatics Data Engineer jobs? Cities near Boston, MA with the most Bioinformatics Data Engineer job openings:
Bioinformatics Data Engineer jobs near you
Infographic showing various Bioinformatics Data Engineer job openings in Boston, MA as of July 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $142,376 per year, or $68.5 per hour.
Bioinformatics Scientist

Bioinformatics Scientist

Vivo HealthStaff

Boston, MA

$170K - $190K/yr

Full-time

Re-posted 6 days ago

Job description

Bioinformatics Scientist (Mid/Senior)

Compensation: $170,000 - $190,000

Location: South San Francisco, CA

Job Type: Full-time (Hybrid)

Equity: Highly Competitive Equity

About Our Client

TechStaffers has partnered with one of our clients & they are on a mission to accelerate new cures and promote a healthier planet by unlocking a new level of productivity for scientists. Their sequencing services are used daily by thousands of innovators, including Nobel laureates, Fortune 100 pharma, and over 70,000 scientists. They began by revolutionizing plasmid sequencing, making it exponentially cheaper and faster. Now, they are expanding that same disruptive model across all of genomics, including a new RNA-seq service, to provide scientists everywhere with faster and more affordable access to data. Every team member plays a crucial role in driving the future of biotech research, building the world's most efficient sequencing engine that operates overnight and scales globally.

Position Overview

We are seeking a highly motivated mid- to senior-level Bioinformatics Scientist to work on the bioinformatics engine that powers this impact. This role is heavily bioinformatics-focused, emphasizing deep domain expertise and the building of scalable products over general software platform skills. You will wear many hats, leading projects from concept through production while maintaining strong ownership of your work.

Key Responsibilities

  • Build blazing-fast, production-grade bioinformatics workflows that process thousands of samples per day.
  • Develop novel algorithms that turn raw sequencing data into fast, intuitive, and accurate insights.
  • Hunt down bugs and tame the chaos of real-world sequencing data, including biological artifacts and platform quirks.
  • Translate bioinformatics outputs into a dynamic scientific UX that feels magical to researchers.
  • Stay on top of cutting-edge tools and find creative ways to integrate them into real-world pipelines.
  • Mentor teammates and grow your own skills in a fast-moving, collaborative environment.

Qualifications & Requirements

  • Education: PhD in Bioinformatics, Computer Science, Statistics, Biology, Biochemistry, Physics, or a closely related field.
  • Experience: 3+ years of experience developing production bioinformatics pipelines.
  • Industry Background: Minimum of 2 years of industry experience; candidates whose only experience is in academia will not be considered.
  • Domain Expertise: Strong background in microbial ecology or related fields, with a distinct preference for expertise in microbial genomics.
  • Technical Tools: Significant, hands-on experience with Nextflow and Docker is critical for pipeline development. Proficiency with standard bioinformatics tooling (Python, Linux, Git) is required.
  • Sequencing Data: Hands-on work with Illumina or Oxford Nanopore sequencing platforms.
  • Product Impact: Proven experience building scalable bioinformatics products and clear evidence of delivering impactful, independent projects.
  • Bonus: Contribution of a novel bioinformatics tool or algorithm is highly regarded as a signal of a top-tier candidate.

Ideal Candidate Profile

  • Thrives with high agency and high ownership, leading projects from idea to production.
  • Exhibits strong leadership qualities, initiative, and a clear motivation to advance their career.
  • Is curious about the intersection of biology, algorithms, and software engineering.
  • Gets excited knowing their work directly accelerates the next generation of medicines and biotechnology.
  • Values clear communication and loves helping others level up.
  • Is energized by a tight-knit, fast-paced team environment.

Visa Requirements

  • Visa sponsorship is generally not available.
  • Able to accommodate TN or H-1B1
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About Vivo HealthStaff

Sourced by ZipRecruiter

Vivo HealthStaff provides permanent recruitment services for both clinical and administrative positions in the healthcare sector. Over the past 2 years, our clients have seen a 98% retention rate with Vivo HealthStaff placements.

Industry

Health care and social assistance

Company size

11 - 50 Employees

Headquarters location

Dublin, CA, US

Year founded

2016

Social media

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