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Bioinformatics Engineer Remote Jobs (NOW HIRING)

Scispot

Customer Success Manager

Address customer questions and issues, working with product and engineering teams for timely ... Degree in Biotechnology, Life Sciences, Bioinformatics, or Business Management. * 3+ years of ...

Natera

Principal Software Engineer

South San Francisco, CA · Remote

$162K - $217K/yr

Remote optional Job Type: Full-time About the Role We're seeking a Principal Software Engineer to ... or bioinformatics computing, LIMS or laboratory data systems, workflow orchestration engines ...

Natera

Principal Software Engineer

San Francisco, CA · Remote

$159K - $213K/yr

Remote optional Job Type: Full-time About the Role We're seeking a Principal Software Engineer to ... or bioinformatics computing, LIMS or laboratory data systems, workflow orchestration engines ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... The ideal candidate will have experience with or interest in computer programing, package ...

Tempus

Manager, Regulatory Submissions (Remote)

Chicago, IL · On-site +1

$110K - $150K/yr

Our Manager of Regulatory Affairs will work closely with our scientists, engineers, clinicians ... Ability to work well with quality, clinical, medical, bioinformatics, and laboratory teams across a ...

Tempus

Manager, Regulatory Submissions (Remote)

Chicago, IL · Remote

$110K - $150K/yr

Our Manager of Regulatory Affairs will work closely with our scientists, engineers, clinicians ... Ability to work well with quality, clinical, medical, bioinformatics, and laboratory teams across a ...

Absentia Labs

Member of the Technical Staff

Boston, MA · Remote

Computational biology and bioinformatics * Backend and distributed systems * Data engineering and ... remote-friendly depending on role. Preference for candidates open to working closely with the ...

Freenome

Senior Machine Learning Scientist

Brisbane, CA · On-site +1

$110K - $150K/yr

... remote. What you'll do: * Independently pursue cutting edge research in AI applied to biological ... Engineering, Computational Biology, or Bioinformatics. * 3+ years of postdoc or post-PhD industry ...

Freenome

Staff Machine Learning Scientist

Brisbane, CA · On-site +1

$199K - $283K/yr

... remote. What you'll do: * Independently pursue cutting edge research in AI applied to biological ... Engineering, Computational Biology, or Bioinformatics. * 6+ years of postdoc or post-PhD industry ...

YO IT Consulting

Biology QA Lead - Remote

... engineering, health claims, environmental impact, or biosafety may be affected. • Process ... ELISA, bioinformatics basics, statistical interpretation, safety data sheets, or scientific ...

YO IT Consulting

Biology QA Lead - Remote

... engineering, health claims, environmental impact, or biosafety may be affected. • Process ... ELISA, bioinformatics basics, statistical interpretation, safety data sheets, or scientific ...

YO IT Consulting

Biology QA Lead - Remote

... engineering, health claims, environmental impact, or biosafety may be affected. • Process ... ELISA, bioinformatics basics, statistical interpretation, safety data sheets, or scientific ...

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Bioinformatics Engineer Remote information

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$43K

$131.1K

$238.5K

How much do bioinformatics engineer remote jobs pay per year?

As of Jun 26, 2026, the average yearly pay for bioinformatics engineer remote 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.

How do Bioinformatics Engineers working remotely typically collaborate with cross-functional teams?

Remote Bioinformatics Engineers regularly collaborate with software developers, data scientists, biologists, and clinicians using digital communication and project management tools. Team meetings are often held via video conferencing platforms, and code or data is shared through cloud-based repositories like GitHub or institutional servers. Clear documentation and regular updates are essential to ensure everyone is aligned, and agile methodologies are commonly used to organize work in sprints. This collaborative structure fosters effective teamwork despite the physical distance, allowing for efficient problem-solving and project delivery.

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

To thrive as a Bioinformatics Engineer, you need a solid background in biology, computer science, and statistics, typically supported by a relevant degree such as bioinformatics, computational biology, or computer science. Familiarity with programming languages like Python or R, experience with bioinformatics tools (e.g., BLAST, Galaxy), and knowledge of cloud computing platforms are essential, along with any certifications in data analysis or cloud services. Strong problem-solving abilities, attention to detail, and effective remote communication are vital soft skills for success in distributed teams. These competencies ensure efficient analysis of complex biological data and seamless collaboration across multidisciplinary, often geographically dispersed, research teams.

What does a remote Bioinformatics Engineer do?

A remote Bioinformatics Engineer designs, develops, and maintains computational tools and software for analyzing biological data, such as DNA sequences or protein structures, from a remote location. They collaborate with scientists and researchers to process large datasets, develop algorithms, and interpret results to advance scientific understanding or medical research. Working remotely, they use cloud-based platforms, version control systems, and secure data-sharing tools to effectively contribute to bioinformatics projects. Communication and teamwork are maintained through digital collaboration tools, allowing them to work with international teams.

What is the difference between Bioinformatics Engineer Remote vs Bioinformatics Scientist?

AspectBioinformatics Engineer RemoteBioinformatics Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related field; programming skillsSimilar credentials; often advanced degrees preferred
Work EnvironmentRemote, collaborative with biotech or pharma teamsTypically in research labs or academic settings, but can be remote
Employer & Industry UsageBiotech, pharma, healthcare companiesResearch institutions, biotech firms, academia
Common Search & ComparisonYesYes

The main difference between a Bioinformatics Engineer Remote and a Bioinformatics Scientist lies in their focus areas. Engineers often concentrate on developing tools and pipelines, while Scientists focus on data analysis and research. Both roles require similar educational backgrounds and can be performed remotely, especially in biotech and pharma industries.

More about Bioinformatics Engineer Remote jobs
What cities are hiring for Bioinformatics Engineer Remote jobs? Cities with the most Bioinformatics Engineer Remote job openings:
What are the most commonly searched types of Bioinformatics Engineer jobs? The most popular types of Bioinformatics Engineer jobs are:
What states have the most Bioinformatics Engineer Remote jobs? States with the most job openings for Bioinformatics Engineer Remote jobs include:
What job categories do people searching Bioinformatics Engineer Remote jobs look for? The top searched job categories for Bioinformatics Engineer Remote jobs are:
Bioinformatics Engineer Remote jobs near you
Infographic showing various Bioinformatics Engineer Remote job openings in the United States as of June 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% Remote job distribution, with an average salary of $131,053 per year, or $63 per hour.
Senior Clinical Programmer Contractor

Senior Clinical Programmer Contractor

Arcus Biosciences

Remote

Full-time

Posted 3 days ago

Job description

Summary

The Senior Clinical Programmer Contractor will be responsible for support of team data review, data reconciliation and edit checks, and programming submission ready SDTM deliverables. This position will report to a Senior Manager of Clinical Programming or higher and will interact regularly with internal and external biostatisticians, clinical data managers, and other team members. Demonstrated ability to prioritize work and to effectively communicate and collaborate with key stakeholders both within Biometrics and beyond (research, translational science, clinical science, clinical operations and regulatory) is a must.
The ideal candidate will come with years of solid industry experience working in a regulated global environment while also demonstrating know-how, flexibility and scientific curiosity useful for establishing internal infrastructure, developing analysis standards, and driving both formal and exploratory work. 

Responsibilities

  • Working from specifications developed by Data Management, with some support build and execute programs for internal data reviews, data reconciliation, and edit checks.
  • Assist in developing/maintaining clinical programming related standards and tools.
  • Work with data management to review case report forms, database specifications and similar documents.
  • With some support, develop data transfer specifications and manage the transfer of external data.
  • Program SDTM datasets and produce related CDISC deliverables such as aCRF, define.xml, reviewer’s guide, etc.
  • With minimal supervision, performs stakeholder management, negotiating timelines and scope of deliverables.
  • Participate in standards governance and developing biometric department operational processes.

Qualifications 

  • Bachelor’s or Master’s degree in a data science field, e.g., statistics, mathematics, epidemiology, computer science, bioinformatics, or another field with commensurate levels of experience.
  • Minimum 4+ years of biotechnology or pharmaceutical experience, with (immuno-) oncology experience preferred.
  • Good programming experience in SAS.
  • Experience with other software languages (e.g., Unix scripts, AI tools, R functions/packages, etc).
  • Good knowledge of CDISC data standards (CDASH, SDTM).
  • Good knowledge of data standards and demonstrated experience in the handling of non-CRF data including proven ability to work with diverse data types, such as biomarker, PK/PD, pharmacovigilance, etc.
  • Demonstrated ability to rapidly adapt to changing project and strategic requirements.
  • Takes a fit-for-purpose mindset to daily work as well as long-term vision.

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