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Bioinformatics Engineer Remote Jobs (NOW HIRING)

... least one programming language, such as R, Python, Perl or MatLab • Capable of prioritizing ... Open to remote candidates if they meet all the required skills and experience and are right fit for ...

The candidate will be responsible primarily for creating and maintaining web-based programming ... Master's degree in Bioinformatics or related fields. LOCATION: Hybrid - remote + on-site Additional ...

DevOps Engineer

Aurora, CO · Remote

$53.50 - $73.50/hr

Boulder, CO · Full-Time · Remote The scientists and engineers building our MRD cancer detection ... Bioinformatics scientists need reproducible, well-governed compute environments. And as a regulated ...

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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 5, 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:
Infographic showing various Bioinformatics Engineer Remote job openings in the United States as of May 2026, with employment types broken down into 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $131,053 per year, or $63 per hour.

Business Systems Analyst (Bioinformatics)

Big Resourcing

Oklahoma City, OK • Remote

Full-time

Posted 8 days ago


Job description

Business Systems Analyst (Bioinformatics) Business Systems Analyst (Bioinformatics) Location: Remote (CST Hours) – TX Duration: Full-Time About BigRio: BigRio is a remote-based, technology consulting firm with headquarters in Boston, MA. We deliver software solutions ranging from custom development and software implementation to data analytics and machine learning/AI integrations. As a one-stop shop, we attract clients from a variety of industries due to our proven ability to deliver cutting-edge, cost-effective software solutions.

About the Role: The Business Systems Analyst (BSA) plays a crucial role in bridging the gap between lab operations and IT by analyzing, defining, and documenting requirements to facilitate effective technology solutions. This role requires a strong understanding of lab operations and bioinformatics, along with excellent analytical and communication skills, to collaborate with stakeholders, gather requirements, and drive technology initiatives aligned with business objectives. Education & Certifications: Bachelor's degree in Bioinformatics, Business Administration, Information Systems, Life Sciences, or a related field.

Certifications such as CBAP (Certified Business Analysis Professional) or PMP (Project Management Professional) are a plus. Experience: 2+ years of experience as a Systems/Business Analyst or in a similar role. Hands-on experience working with bioinformatics platforms, genomic data workflows, or scientific data analysis is a strong plus.

Skills & Qualifications: Strong analytical and problem-solving skills. Experience with business process modeling, workflows, and system integrations. Experience working in bioinformatics environments such as Next-Generation Sequencing (NGS) pipelines, genomic data platforms, or data visualization tools is preferred.

Knowledge of databases, SQL, and reporting tools. Familiarity with Agile, Scrum, or other project management methodologies. Excellent communication and stakeholder management skills.

Knowledge of API integrations, database structures, and automation tools is a plus. Understanding of healthcare compliance (HIPAA, CLIA) and security best practices. Experience in one or more of the following areas: Lab workflows Revenue Cycle Management Bioinformatics (e.g., working with genomic data, annotation tools, sequencing platforms, or lab data pipelines) LIS Reporting Online Ordering Platforms Order Management Key Responsibilities: Requirements Gathering & Analysis Work with stakeholders, including bioinformatics scientists, lab technicians, and IT teams to identify business needs and translate them into functional and technical requirements.

Conduct gap analysis and feasibility studies to evaluate solution options, including integration with bioinformatics tools and databases. Document business processes, scientific workflows, and system functionalities. System Design & Implementation Collaborate with developers and IT teams to design and implement solutions that optimize business operations and scientific data flow.

Develop system models, diagrams, and specifications, especially for platforms handling lab or genomic data. Test new systems, troubleshoot issues, and ensure scientific and business requirements are met. Project Management & Support Act as a liaison between business units, IT teams, and scientific staff.

Assist with project planning, timelines, and deliverables. Train end-users, including lab and research staff, on new systems and processes. Data Analysis & Reporting Analyze operational and scientific data trends to support business and research decision-making.

Develop reports, dashboards, and performance metrics, including bioinformatics data summaries and visualizations. Equal Opportunity Statement: BigRio is an equal-opportunity employer. We prohibit discrimination and harassment of any kind based on race, religion, national origin, sex, sexual orientation, gender identity, age, pregnancy, status as a qualified individual with disability, protected veteran status, or other protected characteristic as outlined by federal, state, or local laws.

BigRio makes hiring decisions based solely on qualifications, merit, and business needs at the time. All qualified applicants will receive equal consideration for employment. BigRio is a cutting-edge technology company committed to being your strategic partner in accelerating digital transformation and fostering innovation.

With a relentless focus on delivering exceptional solutions, we empower businesses to thrive in the rapidly evolving digital landscape. Harvard Square, One Mifflin Place Suite 400 Cambridge, MA 02138 #J-18808-Ljbffr