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Remote Biotechnology Bioinformatics Jobs (NOW HIRING)

... Biotech and large Pharma, Consumer Genomics and large range of Life Sciences industries. Infinity ... Master's degree in Bioinformatics or related fields. LOCATION: Hybrid - remote + on-site Additional ...

Degree in Biotechnology, Life Sciences, Bioinformatics, or Business Management. * 3+ years of ... Remote work flexibility * Significant growth opportunities and career advancement * Additional ...

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 ...

Remote-US (Southern California- based) This position will be remote, however, candidates will be ... Our customers at top-tier pharmaceutical, biotechnology, and academic institutions, as well as ...

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Remote Biotechnology Bioinformatics information

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$59.5K

$94.5K

$149.5K

How much do remote biotechnology bioinformatics jobs pay per year?

As of Jul 4, 2026, the average yearly pay for remote biotechnology bioinformatics in the United States is $94,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What is a Remote Biotechnology Bioinformatics job?

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, and why are they important?

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.

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.

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.
More about Remote Biotechnology Bioinformatics jobs
What cities are hiring for Remote Biotechnology Bioinformatics jobs? Cities with the most Remote Biotechnology Bioinformatics job openings:
What are the most commonly searched types of Biotechnology Bioinformatics jobs? The most popular types of Biotechnology Bioinformatics jobs are:
What states have the most Remote Biotechnology Bioinformatics jobs? States with the most job openings for Remote Biotechnology Bioinformatics jobs include:
Infographic showing various Remote Biotechnology Bioinformatics job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 2% As Needed, 6% Full Time, 90% Part Time, and 1% Nights. Highlights an 37% Physical, 3% Hybrid, and 60% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.
Staff Bioinformatics Scientist, Oncology Applications

Staff Bioinformatics Scientist, Oncology Applications

Ultima Genomics

Remote

$135K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

Rapidly Growing Life Sciences Technology Company
Ultima Genomics is a rapidly growing company that is developing ground-breaking genomics technologies. Our mission is to continuously drive the scale of genomic information to enable unprecedented advances in biology and improvements in human health. We have developed a foundational new approach to sequencing at scale that overcomes limitations due to the high costs of current technologies. We are well-funded and have raised approximately $600 million from global top-tier investors. Our team brings together unique and diverse expertise across multiple disciplines, from healthcare and life sciences, to engineering, to technology and software and beyond. We are a collaborative group, including successful entrepreneurs, chemists, hardware and software engineers, genomics and biotechnology experts, molecular and computational biologists, software and algorithm experts, and operations and commercial leaders. Join us to develop and commercialize technologies that unleash the power of genomics at scale and empower the future of human health.
We are looking for a highly motivated Staff Bioinformatics Scientist to join our Oncology Applications team!
As a Staff Bioinformatics Scientist, you will develop and apply computational methods for analyzing next-generation sequencing (NGS) data generated on Ultima's platform. This role will involve building robust pipelines, developing novel algorithms, collaborating cross-functionally with molecular biology, software engineering, and product teams, and driving insights from complex genomic datasets, with a focus on growing Oncology Applications.
This position is ideal for someone who thrives in a dynamic, fast-paced environment and can effectively balance multiple high-impact projects. In addition to core R&D responsibilities, you will contribute to external-facing scientific communications and support collaborations with customers and partners.
This is a full time remote position with preferred locations in San Francisco, Boston, and Washington D.C.
How You'll Contribute
  • Develop, optimize, and maintain scalable bioinformatics pipelines for NGS data analysis such as WGS, WES, RNA-seq, and single-cell
  • Design and implement novel algorithms for secondary and tertiary NGS analysis tailored to Ultima's sequencing chemistry
  • Lead and execute multiple projects simultaneously, effectively prioritizing deliverables in alignment with evolving company goals
  • Perform benchmarking and validation studies
  • Analyze large-scale genomic datasets and generate actionable insights for internal R&D, product development, and external collaborators
  • Collaborate closely with wet-lab scientists, software engineers, and product teams to translate experimental results into improved workflows and tools
  • Support external collaborations by preparing technical analyses, reports, presentations, and data summaries for customers, partners, and conferences
  • Contribute to scientific publications, application notes, white papers, and other external communication materials as needed
  • Participate in customer-facing discussions to explain data analysis approaches, performance metrics, and platform capabilities
  • Document methods clearly and communicate findings effectively to both technical and non-technical audiences
  • Stay current with emerging technologies and advances in genomics, computational biology, machine learning, and cancer biology
  • Other duties as assigned

Qualifications, Skills, Knowledge & Abilities
  • PhD in Bioinformatics, Computational Biology, Genomics, Computer Science, or related field; or MS with significant industry experience
  • PhD with 5+ years or MS with 8+ years of hands-on experience analyzing NGS data required
  • Strong programming skills in Python and/or C++
  • Experience with common bioinformatics and somatic variant calling tools such as BWA, minimap2, GATK, samtools
  • Proficiency in Linux/Unix environments and workflow management systems (Nextflow, Snakemake, WDL)
  • Experience working with large datasets in cloud environments (AWS, GCP)
  • Solid understanding of genomics and cancer biology
  • Strong statistical and data analysis skills
  • Demonstrated ability to manage multiple concurrent priorities and deliver high-quality work under tight timelines
  • Knowledge of machine learning approaches applied to genomics
  • Clear and confident communicator, comfortable in external-facing settings
  • Experience in regulated environments (CLIA, CAP) is a plus
  • Thrive in a fast-paced, startup environment with evolving priorities
  • Demonstrated scientific rigor and analytical thinking
  • High ownership, accountability, and bias toward action
  • Collaborative mindset with cross-functional agility

At Ultima Genomics, your base pay is one part of your total compensation package. This role pays between $135,000and $170,000, if performed in California, and your actual base pay will depend on your skills, qualifications, experience, and location. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; paid holidays; paid time off; employee assistance program; and other company benefits.
#LI-Remote
Ultima Genomics is proud to be an equal opportunity workplace and is an affirmative action employer. We provide equal employment opportunity for all applicants and employees. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws. See also Ultima Genomics' EEO Policy and Know Your Rights. If you have a disability or special need that requires accommodation, please let us know by contacting recruiting@ultimagen.com.