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Senior Remote Bioinformatics Scientist Jobs (NOW HIRING)

Bruker Corporation

Scientist, Bioinformatics

$96K - $153K/yr

This role reports to our Senior Bioinformatician and does not include management of direct reports ... findings to scientists, researchers, and stakeholders through clear written reports and ...

The Pennsylvania State University

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 ...

Labcorp

Sr Curation Scientist

Durham, NC · On-site +1

Labcorp is seeking a Senior Curation Scientist to join our team in a fully remote capacity. Work ... Bachelor's degree in Applied Mathematics, Statistics, Biochemistry, Bioinformatics, Computational ...

Posted today

Theiagen Genomics

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 ... Seek mentorship from senior team members to develop skills and knowledge, while contributing to a ...

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Senior Remote Bioinformatics Scientist information

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$51.5K

$101.4K

$158.5K

How much do senior remote bioinformatics scientist jobs pay per year?

As of Jul 31, 2026, the average yearly pay for senior remote bioinformatics scientist in the United States is $101,443.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What does a Senior Remote Bioinformatics Scientist do?

A Senior Remote Bioinformatics Scientist leads projects that analyze complex biological data, such as genetic sequences, using computational methods. They design and implement algorithms, develop software tools, and collaborate with researchers to interpret large-scale datasets. Working remotely, they often manage teams, oversee data quality, and help translate findings into actionable insights for research or clinical applications. Their expertise is crucial for advances in genomics, drug discovery, and personalized medicine.

What is the difference between Senior Remote Bioinformatics Scientist vs Bioinformatics Analyst?

AspectSenior Remote Bioinformatics ScientistBioinformatics Analyst
Required CredentialsAdvanced degree (MSc, PhD) in Bioinformatics, Biology, or related field; extensive experienceBachelor's or Master's in Bioinformatics, Biology, or related field; less experience required
Work EnvironmentRemote, collaborative research teams, biotech or pharma companiesRemote or on-site, research labs, healthcare institutions, or biotech firms
Employer & Industry UsageUsed in biotech, pharma, research institutions for complex data analysisUsed in healthcare, research, and biotech for data processing and reporting

The main difference is that a Senior Remote Bioinformatics Scientist typically has more advanced education and experience, focusing on complex data analysis and research leadership, while a Bioinformatics Analyst handles data processing and reporting with less seniority and experience.

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

As a Senior Remote Bioinformatics Scientist, you'll frequently collaborate with biologists, data analysts, and software engineers through virtual meetings, shared code repositories, and cloud-based data platforms. Communication skills are essential, as you'll often translate complex bioinformatics findings for non-technical stakeholders and contribute to project planning. Regular video conferences, collaborative tools (like Slack or Jira), and scheduled check-ins help ensure alignment and smooth teamwork despite the remote setup. This collaborative structure enables you to provide scientific insight while staying connected with the broader research and development goals of the organization.

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

To thrive as a Senior Remote Bioinformatics Scientist, you need advanced knowledge of computational biology, genomics, statistics, and a relevant advanced degree (often PhD) in bioinformatics or a related field. Expertise with programming languages like Python, R, bioinformatics pipelines, and familiarity with cloud computing platforms are typically required, along with experience using tools such as BLAST, GATK, and Nextflow. Excellent problem-solving abilities, strong communication skills, and the capacity to collaborate virtually distinguish top performers in this role. These competencies ensure effective analysis of complex biological data, reliable scientific insights, and seamless teamwork in a remote environment.
More about Senior Remote Bioinformatics Scientist jobs
What cities are hiring for Senior Remote Bioinformatics Scientist jobs? Cities with the most Senior Remote Bioinformatics Scientist job openings:
What states have the most Senior Remote Bioinformatics Scientist jobs? States with the most job openings for Senior Remote Bioinformatics Scientist jobs include:
What job categories do people searching Senior Remote Bioinformatics Scientist jobs look for? The top searched job categories for Senior Remote Bioinformatics Scientist jobs are:
Senior Remote Bioinformatics Scientist jobs near you
Infographic showing various Senior Remote Bioinformatics Scientist job openings in the United States as of July 2026, with employment types broken down into 7% Locum Tenens, 18% As Needed, 55% Full Time, 8% Part Time, 1% Contract, and 11% Nights. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution, with an average salary of $101,443 per year, or $48.8 per hour.

Staff Bioinformatics Scientist, Oncology Applications

Ultima Genomics

Remote

$135K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 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.

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