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Remote Biotechnology Bioinformatics Jobs in Boston, MA

Absentia Labs

Member of the Technical Staff

Boston, MA · Remote

If you are excited about working at the intersection of AI, biotech, translational medicine, and ... Computational biology and bioinformatics * Backend and distributed systems * Data engineering and ...

Tempus

Data Scientist II, Outcomes Research

Boston, MA · On-site +1

$100K - $150K/yr

The Outcomes Research team partners with external Pharma, biotech, and academic institutions to ... Advanced degree (Master's with 2+ years experience or equivalent) in data science, bioinformatics ...

All JobsBiotechnology Bioinformatics JobsRemote Biotechnology Bioinformatics JobsRemote Biotechnology Bioinformatics Jobs in Boston, MA

Remote Biotechnology Bioinformatics information

See Boston, MA salary details

$64.6K

$102.6K

$162.4K

How much do remote biotechnology bioinformatics jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote biotechnology bioinformatics in Boston, MA is $102,637.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,300.00 and $140,700.00 per year, depending on experience, location, and employer.

What is a remote biotechnology bioinformatics?

A Remote Biotechnology Bioinformatics job involves using computational tools and techniques to analyze biological data, such as DNA, RNA, and protein sequences, from a remote location. Professionals in this field often work for biotechnology companies, research institutions, or healthcare organizations, collaborating with scientists to interpret complex datasets and develop solutions for biological problems. These roles typically require strong skills in programming, data analysis, and knowledge of biological sciences. Working remotely allows bioinformaticians to contribute to global research projects and innovations in biotechnology without being tied to a specific physical location.

What are the key skills and qualifications needed to thrive as a remote biotechnology bioinformatics professional?

To thrive as a Remote Biotechnology Bioinformatics professional, you need a solid background in molecular biology, computational biology, and statistics, often supported by a degree in bioinformatics or a related field. Proficiency with programming languages like Python or R, bioinformatics tools (such as BLAST, GATK), and data analysis platforms is typically required. Strong problem-solving ability, attention to detail, and effective communication skills are vital for collaborating remotely and interpreting complex biological data. These skills enable accurate data analysis, meaningful scientific insights, and successful remote teamwork in the biotechnology sector.

How does a remote biotechnology bioinformatics professional typically collaborate with cross-functional teams?

Remote Biotechnology Bioinformatics professionals regularly collaborate with multidisciplinary teams, including scientists, data analysts, and software engineers, using digital communication tools like Slack, Zoom, and project management platforms. They participate in virtual meetings to discuss project progress, troubleshoot technical challenges, and align on research objectives. Effective documentation and transparent communication are essential for sharing data, code, and findings, ensuring seamless integration of bioinformatics insights into broader research and development efforts. Building strong professional relationships remotely can be a challenge, but proactive communication and regular check-ins help foster teamwork and productivity.

What is the difference between Remote Biotechnology Bioinformatics vs Remote Computational Biologist?

AspectRemote Biotechnology BioinformaticsRemote Computational Biologist
Required CredentialsBachelor's/Master's in Bioinformatics, Biology, or related fields; experience with bioinformatics toolsPhD or Master's in Computational Biology, Bioinformatics, or related disciplines; strong programming skills
Work EnvironmentRemote, collaborative teams in biotech or pharma companiesRemote, research-focused, often in academic or biotech settings
Industry UsageCommon in biotech, pharmaceutical, and healthcare industriesUsed in research institutions, biotech, and pharma for data analysis

Remote Biotechnology Bioinformatics roles focus on analyzing biological data using bioinformatics tools, often requiring a bachelor's or master's degree. Remote Computational Biologists typically hold a PhD and engage in complex data modeling and algorithm development. Both roles are remote and industry-specific but differ in educational requirements and research depth.

What are popular job titles related to Remote Biotechnology Bioinformatics jobs in Boston, MA?

For Remote Biotechnology Bioinformatics jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Remote Biotechnology Bioinformatics jobs in Boston, MA look for?

The top searched job categories for Remote Biotechnology Bioinformatics jobs in Boston, MA are:

What cities near Boston, MA are hiring for Remote Biotechnology Bioinformatics jobs?

Cities near Boston, MA with the most Remote Biotechnology Bioinformatics job openings:

Remote Biotechnology Bioinformatics jobs near you
Infographic showing various Remote Biotechnology Bioinformatics job openings in Boston, MA as of June 2026, with employment types broken down into 2% As Needed, 7% Full Time, 89% Part Time, 1% Contract, and 1% Nights. Highlights an 48% Physical, 3% Hybrid, and 49% Remote job distribution, with an average salary of $102,637 per year, or $49.3 per hour.

Member of the Technical Staff

Absentia Labs

Boston, MA • Remote

Full-time

Re-posted 13 days ago

Job description

We are always looking for exceptional engineers interested in building the future of AI-enabled drug development, predictive biology, and computational safety infrastructure. If you are excited about working at the intersection of AI, biotech, translational medicine, and scalable scientific systems, we would love to hear from you.


About the Role

Absentia Labs is building AI-driven mechanistic toxicology and translational safety infrastructure designed to improve how biological risk and organ-level toxicity are understood earlier in drug development. Our platform integrates large-scale biological, chemical, and experimental datasets to support predictive, human-relevant safety assessment and New Approach Methodologies (NAMs).

We are looking for highly motivated engineers with broad backgrounds who are excited to solve technically challenging problems in AI, biology, infrastructure, and scientific computing. This is a general application for candidates who may fit current or future engineering needs as the company grows.


Areas of interest may include:

  • Machine learning and AI infrastructure

  • Computational biology and bioinformatics

  • Backend and distributed systems

  • Data engineering and data platforms

  • Scientific software engineering

  • Full-stack product engineering

  • Cloud infrastructure and MLOps

  • Applied AI research

  • Visualization and scientific interfaces


What We Look For

  • Strong technical fundamentals and problem-solving ability

  • Interest in mission-driven work within biotechnology and healthcare

  • Ability to operate in fast-moving, ambiguous startup environments

  • Curiosity, ownership, and willingness to learn across disciplines

  • Experience building scalable systems, models, or products

  • Strong communication and collaboration skills

Nice to Have

  • Experience in biotech, healthcare, life sciences, or scientific computing

  • Familiarity with machine learning workflows or biological datasets

  • Startup or early-stage company experience

  • Interest in translational medicine, toxicology, or computational drug development

Location

Hybrid and remote-friendly depending on role. Preference for candidates open to working closely with the founding team in Boston.


Why Absentia Labs

  1. Work on scientifically meaningful problems with real-world impact

  2. Help shape a foundational platform at the intersection of AI and biology

  3. Collaborate with pharmaceutical, academic, and regulatory stakeholders

  4. Early-stage ownership and opportunity for outsized impact

  5. Mission-driven team focused on improving translational safety and reducing unnecessary animal testing