2

Flexible Remote Bioinformatics Scientist Jobs (NOW HIRING)

Overview Bruker is enabling scientists to make breakthrough discoveries and develop new ... flexible as you maneuver the complexities of each new problem. You will be expected to work ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Bioinformatics Staff Scientists play a supporting role in enabling the research efforts of ...

You will collaborate with interdisciplinary teams in a remote environment focused on scientific ... Optimize existing bioinformatics code and pipelines to improve performance, efficiency, and ...

Bioinformatics Analyst III

Seattle, WA · On-site +1

$105K - $130K/yr

Using an open science, multi-scale, team-oriented approach, the Allen Institute focuses on ... remote work must be performed in Washington State Travel * Occasional travel may be required

Bioinformatics Analyst I

Denver, CO · On-site +1

$70K - $80K/yr

Remote-US Reporting To: Public Health Team Lead Compensation: $70,000 - $80,000 / year Description ... Flexible Spending Accounts * Employee Assistance Program * Employee Discount Program Why Join ...

Bioinformatics Analyst I

Denver, CO · On-site +1

$70K - $80K/yr

Fully remote work (Must be able to provide proof of ability to work in the US upon hire-does not ... Flexible Spending Accounts * Employee Assistance Program * Employee Discount Program Why Join ...

next page

Showing results 1-20

Flexible Remote Bioinformatics Scientist information

See salary details

$37

$54

$74

How much do flexible remote bioinformatics scientist jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for flexible remote bioinformatics scientist in the United States is $54.79, according to ZipRecruiter salary data. Most workers in this role earn between $44.95 and $62.50 per hour, depending on experience, location, and employer.

How does a Flexible Remote Bioinformatics Scientist typically collaborate with cross-functional teams while working remotely?

Flexible Remote Bioinformatics Scientists often collaborate with multidisciplinary teams such as biologists, data analysts, and software engineers through virtual meetings, shared project management tools, and cloud-based data platforms. Clear communication and proactive scheduling are essential to align project goals and timelines across different time zones and disciplines. Regular virtual check-ins and documentation help ensure that scientific insights are effectively integrated into ongoing research or product development. Remote collaboration also encourages flexibility in working hours, but it requires strong organizational skills to stay connected and productive.

What is the difference between Flexible Remote Bioinformatics Scientist vs Flexible Remote Data Analyst?

AspectFlexible Remote Bioinformatics ScientistFlexible Remote Data Analyst
Required CredentialsTypically requires a degree in bioinformatics, biology, or related fields; often a master's or PhDUsually requires a degree in statistics, mathematics, or related fields; often a bachelor's or master's
Work EnvironmentRemote, often in research institutions, biotech, or pharma companiesRemote, in various industries including finance, healthcare, and marketing
Industry UsagePrimarily in biotech, healthcare, and research sectorsAcross multiple industries including finance, marketing, and healthcare

The main difference between a Flexible Remote Bioinformatics Scientist and a Flexible Remote Data Analyst lies in their specialized knowledge and industry focus. Bioinformatics Scientists focus on biological data, requiring specific scientific credentials, while Data Analysts work across diverse sectors analyzing various data types. Both roles are increasingly remote and require strong analytical skills, but their core expertise and industry applications differ.

What are the key skills and qualifications needed to thrive as a Flexible Remote Bioinformatics Scientist, and why are they important?

To thrive as a Flexible Remote Bioinformatics Scientist, you need strong expertise in molecular biology, statistical analysis, and computational data processing, typically supported by an advanced degree in bioinformatics, biology, or computer science. Proficiency with programming languages like Python or R, bioinformatics tools (e.g., BLAST, GATK), and experience with cloud-based data platforms are commonly required. Exceptional problem-solving skills, self-motivation, and effective virtual communication make candidates stand out in remote settings. These skills are crucial for independently analyzing complex biological data, collaborating with global teams, and driving research innovation from a remote environment.

What does a Flexible Remote Bioinformatics Scientist do?

A Flexible Remote Bioinformatics Scientist analyzes biological data using computational techniques, often working from any location with an internet connection. They design and apply algorithms and software tools to interpret data such as DNA sequences, protein structures, and gene expression profiles. Their work supports advances in fields like genomics, drug discovery, and personalized medicine. The 'flexible remote' aspect means they can set their own hours and work outside a traditional office, collaborating with research teams virtually.
More about Flexible Remote Bioinformatics Scientist jobs
What cities are hiring for Flexible Remote Bioinformatics Scientist jobs? Cities with the most Flexible Remote Bioinformatics Scientist job openings:
What are the most commonly searched types of Remote Bioinformatics Scientist jobs? The most popular types of Remote Bioinformatics Scientist jobs are:
What states have the most Flexible Remote Bioinformatics Scientist jobs? States with the most job openings for Flexible Remote Bioinformatics Scientist jobs include:
What job categories do people searching Flexible Remote Bioinformatics Scientist jobs look for? The top searched job categories for Flexible Remote Bioinformatics Scientist jobs are:
Infographic showing various Flexible Remote Bioinformatics Scientist job openings in the United States as of July 2026, with employment types broken down into 5% Locum Tenens, 66% As Needed, 7% Full Time, 1% Part Time, 20% Nights, and 1% Summer. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution, with an average salary of $113,966 per year, or $54.8 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 2 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.