Mid Level Senior Bioinformatics Scientist Jobs
Mid level senior bioinformatics scientist jobs go to researchers ready to own analytical pipelines end to end, make independent methodological decisions, and guide junior scientists without close oversight. Openings are concentrated in Consulting & Professional Services, Biotechnology & Pharmaceuticals, and Education, with a mix of on-site, hybrid, and remote positions, and employers like LatchBio, Thermo Fisher Scientific, and Axle hiring at this level now.
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Showing 5 of 27+ Mid Level Senior Bioinformatics Scientist jobs
As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive.
Job Location (Full Address):
601 Elmwood Ave, Rochester, New York, United States of America, 14642Opening:
Worker Subtype:
RegularTime Type:
Full timeScheduled Weekly Hours:
40Department:
400129 Surgery ResearchWork Shift:
UR - Day (United States of America)Range:
UR URG 113Compensation Range:
$77,216.00 - $115,824.00The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.
Responsibilities:
Contributes to scientific analysis of data generated by multiple research projects by organizing, overseeing, and directing staff from their own organization. Initiates, monitors, and evaluates progress and scientific value of project and data. Responsible for the quality control of raw data, and assists researchers in analysis of their sequencing data from generation to publication, integrates disparate datasets into regulatory frameworks, and develops workflows for both on premises and cloud processing. Establishes and maintains collaborative relationships with multiple stakeholders within and external to the University. Assists in the creation and dissemination of education materials related to highly technical research.ESSENTIAL FUNCTIONS
- Analyzes high-throughput sequencing data generated on high-throughput sequencing instruments, including single-cell RNA-seq data and spatial RNA-seq data from experimental approaches. Completes secondary analyses of processed data, including expression profiling, pathway enrichment analysis, and functional annotation, utilizing an extensive working knowledge of linux/unix commands, computer programming languages, and application of open-source software tools.
- Completes development in conjunction with WCI and Center of Integrated Research Computing related to deployment of standard and novel workflows within cloud infrastructure.
- Participates in experimental design and analysis of sequencing projects, including application and development of novel analytical methods to meet each projects research goals, management of project milestones, and integration of multiple genomic data types.
- Provides technical training, supervision, and consultation to GRC Bioinformatics team in conjunction with Bioinformatic Staff Scientist.
- Provides bioinformatics support and training to research groups, including use of various software for analysis of genomic data, assistance in analysis and interpretation of data sets, and recommendation of best practices for sequencing experiments.
- Responsible for storage and maintenance of raw data, including but not limited to, micro array and high-throughput sequence data sets. Other duties as assigned.
MINIMUM EDUCATION & EXPERIENCE
- Bachelor's degree and 3 years of relevant experience required
- Master's degree preferred Or equivalent combination of education and experience
- Experience with Azure/AWS or other cloud platform development/deployment required
- Experience with statistical programming and data visualization using R/Bioconductor and UNIX/Linux programming required Experience with interface, networking, and data warehousing technologies, as well as design, relational database technologies, and performance tuning required
KNOWLEDGE, SKILLS AND ABILITIES
- Proven track record executing multiple work streams and producing consistent results required
- Able to create novel techniques, programs and systems by innovation or by extracting/synthesizing features or elements from other systems, databases and/or programs at all phases inception, design, testing, implementation, evaluation and future progression and development required
- Ability to create a cascade of interrelated experiments, programs and/or systems that execute, analyze and construct upon the previous and in scientific succession required
- Web interface, design and development experience, Javascript, Python/Flask or related programming experience, including source control tools such as GIT preferred
- Competency with Python, JAVA, Perl, C++, and Cloud computing required
- Knowledge of basic statistics, linear model building, principal component analysis, and factor analysis preferred
The University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture to advance the University’s Mission to Learn, Discover, Heal, Create – and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion, creed, sex, sexual orientation, citizenship status, or any other characteristic protected by federal, state, or local law (Protected Characteristics). This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates, for all persons consistent with our values and based on applicable law.
As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive.
Job Location (Full Address):
601 Elmwood Ave, Rochester, New York, United States of America, 14642Opening:
Worker Subtype:
RegularTime Type:
Full timeScheduled Weekly Hours:
40Department:
400129 Surgery ResearchWork Shift:
UR - Day (United States of America)Range:
UR URG 113Compensation Range:
$77,216.00 - $115,824.00The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.
Responsibilities:
Contributes to scientific analysis of data generated by multiple research projects by organizing, overseeing, and directing staff from their own organization. Initiates, monitors, and evaluates progress and scientific value of project and data. Responsible for the quality control of raw data, and assists researchers in analysis of their sequencing data from generation to publication, integrates disparate datasets into regulatory frameworks, and develops workflows for both on premises and cloud processing. Establishes and maintains collaborative relationships with multiple stakeholders within and external to the University. Assists in the creation and dissemination of education materials related to highly technical research.ESSENTIAL FUNCTIONS
- Analyzes high-throughput sequencing data generated on high-throughput sequencing instruments, including single-cell RNA-seq data and spatial RNA-seq data from experimental approaches. Completes secondary analyses of processed data, including expression profiling, pathway enrichment analysis, and functional annotation, utilizing an extensive working knowledge of linux/unix commands, computer programming languages, and application of open-source software tools.
- Completes development in conjunction with WCI and Center of Integrated Research Computing related to deployment of standard and novel workflows within cloud infrastructure.
- Participates in experimental design and analysis of sequencing projects, including application and development of novel analytical methods to meet each projects research goals, management of project milestones, and integration of multiple genomic data types.
- Provides technical training, supervision, and consultation to GRC Bioinformatics team in conjunction with Bioinformatic Staff Scientist.
- Provides bioinformatics support and training to research groups, including use of various software for analysis of genomic data, assistance in analysis and interpretation of data sets, and recommendation of best practices for sequencing experiments.
- Responsible for storage and maintenance of raw data, including but not limited to, micro array and high-throughput sequence data sets. Other duties as assigned.
MINIMUM EDUCATION & EXPERIENCE
- Bachelor's degree and 3 years of relevant experience required
- Master's degree preferred Or equivalent combination of education and experience
- Experience with Azure/AWS or other cloud platform development/deployment required
- Experience with statistical programming and data visualization using R/Bioconductor and UNIX/Linux programming required Experience with interface, networking, and data warehousing technologies, as well as design, relational database technologies, and performance tuning required
KNOWLEDGE, SKILLS AND ABILITIES
- Proven track record executing multiple work streams and producing consistent results required
- Able to create novel techniques, programs and systems by innovation or by extracting/synthesizing features or elements from other systems, databases and/or programs at all phases inception, design, testing, implementation, evaluation and future progression and development required
- Ability to create a cascade of interrelated experiments, programs and/or systems that execute, analyze and construct upon the previous and in scientific succession required
- Web interface, design and development experience, Javascript, Python/Flask or related programming experience, including source control tools such as GIT preferred
- Competency with Python, JAVA, Perl, C++, and Cloud computing required
- Knowledge of basic statistics, linear model building, principal component analysis, and factor analysis preferred
The University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture to advance the University’s Mission to Learn, Discover, Heal, Create – and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion, creed, sex, sexual orientation, citizenship status, or any other characteristic protected by federal, state, or local law (Protected Characteristics). This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates, for all persons consistent with our values and based on applicable law.
See All 27 Mid Level Senior Bioinformatics Scientist Jobs
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Find JobsMid Level Senior Bioinformatics Scientist Job Market
Who's Hiring
- LatchBio4
- Thermo Fisher Scientific4
- Axle3
- Emory University2
- GAP Solutions2
Top Industries Hiring
- Consulting & Professional Services8
- Biotechnology & Pharmaceuticals7
- Education5
- Science & Research5
- Human Resources2
Mid Level Senior Bioinformatics Scientist Jobs: Frequently Asked Questions
How do I get a mid level senior bioinformatics scientist job?
Highlight your independent contributions, not just your participation. Recruiters at this level want to see pipelines you built or owned, analyses you led from question to deliverable, and any mentoring or collaboration you drove. Tailor your resume to show scope of responsibility, not just tools used. A portfolio of documented code or published analyses strengthens applications significantly.
Which companies hire mid level senior bioinformatics scientists?
Companies hiring mid level senior bioinformatics scientists right now include LatchBio, Thermo Fisher Scientific, and Axle, based on current listings on Migrate Mate as of July 2026. Hiring at this level comes from a broad mix of employers, including biotechnology firms, pharmaceutical companies, academic medical centers, and genomics-focused technology organizations scaling their computational biology teams.
Are there remote mid level senior bioinformatics scientist jobs?
Yes, remote and hybrid options are well established in this field. About 21% of mid level senior bioinformatics scientist openings are remote or hybrid as of July 2026, reflecting the computational nature of the work. Roles tied to wet lab collaboration or on-site sequencing infrastructure are more likely to require in-person presence.
How do I move up to a mid level senior bioinformatics scientist role?
Growth into mid level comes from deepening ownership over time. Early-career scientists build the foundation by mastering core tools and workflows, then demonstrate progression by leading discrete projects, troubleshooting independently, and producing analyses that directly inform research decisions. Developing fluency in multiple omics data types and contributing to methods documentation accelerates the transition from execution to ownership.
Which industries hire the most mid level senior bioinformatics scientists?
Mid Level senior bioinformatics scientist roles concentrate in Consulting & Professional Services, Biotechnology & Pharmaceuticals, and Education, based on current listings on Migrate Mate as of July 2026. These sectors drive hiring at this level because they depend on scalable, reproducible computational workflows to process large genomic, proteomic, or clinical datasets and translate findings into research or commercial outcomes.