H-1B Visa Senior Bioinformatics Scientist Jobs
Senior Bioinformatics Scientist roles sit firmly within H-1B visa specialty occupation territory, requiring at least a bachelor's degree in bioinformatics, computational biology, or a closely related field. Employers filing LCAs for this SOC code must meet DOL prevailing wage requirements, and many biotech and pharma sponsors have established H-1B filing histories you can verify before applying.
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Get Access To All JobsINTRODUCTION
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.
See all H-1B Visa Senior Bioinformatics Scientist Jobs
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Senior Bioinformatics Scientist
Align your degree to the role
USCIS scrutinizes specialty occupation claims when your degree field doesn't directly match the job. A degree in bioinformatics, computational biology, or biostatistics maps cleanly. A general biology or CS degree may require a detailed credentials evaluation to satisfy the direct-relationship requirement.
Check LCA filings by SOC code
Bioinformatics scientist roles file under SOC 19-1029 or 15-2099 depending on the employer's framing. Pull DOL LCA disclosure data filtered by those codes to find which biotech, pharma, and research institutions have active H-1B filing histories before sending applications.
Target employers with cap-exempt status
Universities, nonprofit research institutes, and government-affiliated labs are cap-exempt H-1B employers, meaning you can file any time of year without entering the lottery. Many senior bioinformatics roles exist at NIH-funded institutions and academic medical centers where this exemption applies.
Use Migrate Mate to filter verified sponsors
Pull up the Senior Bioinformatics Scientist listings on Migrate Mate and filter by employers with confirmed H-1B LCA filing history. That narrows your list to organizations that have already navigated the process for roles at this level, saving you outreach to non-sponsors.
Request prevailing wage documentation early
Before the I-129 is filed, your employer must certify the offered wage meets DOL prevailing wage for your location and experience level. Use the OFLC Wage Search to verify Level III or IV wages for your job site ZIP code so you can flag discrepancies before the LCA is submitted.
Negotiate H-1B filing costs into your offer
USCIS prohibits employers from passing mandatory I-129 filing fees to H-1B workers. Premium processing, however, is negotiable. If your start date is time-sensitive, confirm in writing whether the employer will cover premium processing before you accept the offer.
H-1B Visa Senior Bioinformatics Scientist: Frequently Asked Questions
Does a Senior Bioinformatics Scientist role qualify as an H-1B specialty occupation?
Yes. Senior Bioinformatics Scientist positions require at least a bachelor's degree in bioinformatics, computational biology, biostatistics, or a directly related field, which satisfies the USCIS specialty occupation definition. Roles involving genomic pipeline development, statistical modeling, or algorithm design for biological data have consistently met this standard. If your employer describes the role broadly, a strong job duties letter from a supervisor strengthens the petition.
Which employers regularly sponsor H-1B visas for bioinformatics roles?
Biotech companies, pharmaceutical research divisions, academic medical centers, and government-affiliated research institutions are the most consistent H-1B sponsors for bioinformatics positions. Cap-exempt employers like universities and NIH-funded nonprofits can file outside the annual lottery. You can browse verified H-1B-sponsoring employers hiring for this role on Migrate Mate, filtered by LCA filing history.
What happens to my H-1B status if my bioinformatics project ends and I'm laid off?
You have a 60-day grace period after involuntary termination to find a new employer, file a change of status, or depart the U.S. Your new employer must file an H-1B transfer petition before that window closes. If you're working at a large pharma or biotech with a track record of layoffs, negotiate a severance clause that keeps you on payroll through the grace period while you transition.
Can my employer file my H-1B as a concurrent position if I already hold H-1B status elsewhere?
Yes. H-1B holders can work concurrently for multiple employers as long as each employer files a separate I-129 petition. This is relevant for senior bioinformatics scientists who consult for biotech startups while employed full-time at a research institution. Each employer must independently satisfy prevailing wage and specialty occupation requirements. USCIS reviews each petition on its own merits.
Does my SOC code affect my H-1B prevailing wage determination?
Directly. Employers filing LCAs for bioinformatics roles may use SOC 19-1029 (Biological Scientists) or 15-2099 (Mathematical Science Occupations) depending on how they define the role's primary function. The SOC code determines which wage level USCIS and DOL apply. A mismatched code can expose the petition to a wage-related Request for Evidence. Cross-check the SOC your employer intends to use against the O*NET occupation profile before the LCA is certified.