Senior Bioinformatics Scientist Jobs
Senior Bioinformatics Scientist jobs are open across pharmaceuticals, genomics, biotech, and academic research, from mid-level to principal, with specializations in computational genomics, structural bioinformatics, and multi-omics data analysis. Find a role that fits from the openings below and apply directly.
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INTRODUCTION
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 Senior Bioinformatics Scientist to join our Oncology Applications team!
As a Senior 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.
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
BASIC QUALIFICATIONS
- PhD in Bioinformatics, Computational Biology, Genomics, Computer Science, or related field; or MS with significant industry experience
- PhD with 2+ years or MS with 5+ years of hands-on experience analyzing NGS data is 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
COMPENSATION
- Salary Range: $115,000 - $145,000, if performed in the US
At Ultima Genomics, your base pay is one part of your total compensation package. 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.
INTRODUCTION
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 Senior Bioinformatics Scientist to join our Oncology Applications team!
As a Senior 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.
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
BASIC QUALIFICATIONS
- PhD in Bioinformatics, Computational Biology, Genomics, Computer Science, or related field; or MS with significant industry experience
- PhD with 2+ years or MS with 5+ years of hands-on experience analyzing NGS data is 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
COMPENSATION
- Salary Range: $115,000 - $145,000, if performed in the US
At Ultima Genomics, your base pay is one part of your total compensation package. 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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Find JobsSenior Bioinformatics Scientist Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- AbbVie1
- Abbvie Bioresearch Center1
- Fulgent Therapeutics1
- Illumina1
- Legend Biotech1
Top Industries Hiring
- Biotechnology & Pharmaceuticals6
- Healthcare & Medical Services3
- Science & Research2
What Employers Look For
The qualifications that appear most often in senior bioinformatics scientist jobs.
- PhD in bioinformatics, computational biology, genomics, or a closely related field
- Proficiency in Python and R for statistical analysis and pipeline development
- Experience with next-generation sequencing data analysis including RNA-seq, WGS, or scRNA-seq
- Hands-on use of workflow management systems such as Snakemake, Nextflow, or WDL
- Familiarity with cloud computing environments including AWS, Google Cloud, or Microsoft Azure
- Strong record of peer-reviewed publication or contributions to open-source bioinformatics tools
Tips for Your Senior Bioinformatics Scientist Job Search
Tailor your resume to pipeline specifics
Generic bioinformatics resumes lose reviewers fast. For each application, name the exact pipelines you built or maintained, the genome assemblers or alignment tools you used, and the scale of datasets you processed. Quantify compute time saved or variant calls improved.
Apply early to roles that fit
Migrate Mate lists senior bioinformatics scientist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Highlight reproducibility and documentation habits
Senior-level hiring panels care deeply about whether your analyses can be reproduced by the next scientist. Call out your use of workflow managers like Snakemake or Nextflow, containerization with Docker or Singularity, and version-controlled notebooks in your resume and cover letter.
Distinguish wet-lab familiarity from pure computation
Many senior roles sit at the interface of experimental and computational work. If you can interpret a sequencing QC report, design an experiment alongside bench scientists, or translate biological questions into algorithmic tasks, say so explicitly. Panels often screen for this bridge.
Prepare a technical take-home or code sample
Most senior bioinformatics scientist interviews include a coding or analysis exercise. Before your first screen, clean up a public GitHub repository or Jupyter notebook that demonstrates your end-to-end thinking on a real dataset, so you can share it on short notice.
Negotiate scope before discussing compensation
In senior bioinformatics roles, reporting structure, compute budget, and collaboration access vary enormously and affect your day-to-day output. Clarify what resources and autonomy the role actually carries before the offer stage so you negotiate from a clear picture of the position.
Senior Bioinformatics Scientist Jobs: Frequently Asked Questions
Which companies are hiring the most senior bioinformatics scientists?
The companies hiring the most senior bioinformatics scientists right now include AbbVie, Abbvie Bioresearch Center, and Fulgent Therapeutics, with the largest share of openings in California, Massachusetts, and Ohio, based on current listings on Migrate Mate as of June 2026. Pharmaceutical companies, genomics platforms, and large academic medical centers consistently drive the highest volume of postings.
How many senior bioinformatics scientist jobs are remote?
About 33% of senior bioinformatics scientist openings are fully remote or hybrid as of June 2026, making it one of the more flexible roles in the life sciences. Sub-specialties focused on computational pipeline development, machine learning model building, and data engineering tend to appear as remote most often, while roles tied to wet-lab collaboration or clinical data governance are more commonly on-site.
How do you become a senior bioinformatics scientist?
Most senior bioinformatics scientists start with a PhD in computational biology, bioinformatics, or genomics, followed by a postdoctoral fellowship or industry research role where they lead independent analyses. From there, building a portfolio of end-to-end pipeline work, contributing to publications, and demonstrating cross-functional collaboration with bench scientists positions candidates for senior individual-contributor or team-lead roles.
Can you get hired as a senior bioinformatics scientist without extensive experience?
A strong PhD plus postdoctoral or industry research experience is typically required for senior-level roles, but candidates coming from adjacent fields like computational chemistry, machine learning, or clinical data science can compete by demonstrating direct bioinformatics output. Open-source contributions, a clean public code portfolio, and domain-specific publications can offset gaps in formal job title history when applying to growth-stage biotech teams.
What does the senior bioinformatics scientist interview process look like?
The process typically starts with a recruiter screen, followed by a technical phone interview covering your pipeline architecture, tool choices, and statistical reasoning. A take-home analysis exercise or live coding session usually comes next, where you work through a real or simulated dataset. Final rounds involve presentations to the science team and conversations with cross-functional partners such as biologists, software engineers, or clinical researchers.
Where can I find and apply to senior bioinformatics scientist jobs?
You can find and apply to senior bioinformatics scientist jobs on Migrate Mate, which lists current openings from across the United States. Search the listings, find roles that match your background and research interests, and apply directly to each one. No intermediaries, no gatekeeping, just a straightforward path from opening to application.
See All Senior Bioinformatics Scientist Jobs
Jump back to the full list of openings and apply to any senior bioinformatics scientist role that fits.
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