Mid Level Bioinformatics Jobs
Mid level bioinformatics jobs go to scientists and analysts ready to own computational pipelines end to end, guide junior team members, and translate genomic or proteomic findings into decisions with limited day-to-day oversight. Roles run across Consulting & Professional Services, Biotechnology & Pharmaceuticals, and Education, with a mix of on-site, remote, and hybrid 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 Bioinformatics 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 Bioinformatics Jobs
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Find Mid Level Bioinformatics JobsMid Level Bioinformatics 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 Bioinformatics Jobs: Frequently Asked Questions
How do I get a mid level bioinformatics job?
Lead with ownership. Hiring managers at this level want to see that you have driven a project or analysis pipeline from design through delivery, not just contributed to one. Highlight specific tools you have mastered, datasets you have worked with independently, and any cross-functional collaboration with wet lab or clinical teams. A strong GitHub portfolio and publications or internal reports that show interpretive depth will set your application apart.
Which companies hire mid level bioinformaticss?
Companies hiring mid level bioinformaticss right now include LatchBio, Thermo Fisher Scientific, and Axle, based on current listings on Migrate Mate as of July 2026. Hiring at this level covers pharmaceutical and biotech companies running large-scale genomics programs, health systems building clinical informatics capacity, and research institutions expanding their computational biology teams.
Are there remote mid level bioinformatics jobs?
Yes, and the share is meaningful. About 21% of mid level bioinformatics openings are remote or hybrid as of July 2026, reflecting the nature of computational work that rarely requires a physical lab presence. Fully remote roles tend to appear most often at biotech companies and contract research organizations, while hybrid arrangements are common at academic medical centers and large pharma employers.
How do I move up to a mid level bioinformatics role?
Progression from entry level to mid level comes from accumulating independent ownership over time. Focus on deepening expertise in one or two analytical areas, such as variant calling, single-cell RNA sequencing, or structural prediction, rather than staying broad. Taking on progressively larger datasets, writing pipelines others can reuse, and documenting your methodological decisions all signal readiness. Presenting findings to mixed audiences of biologists and engineers also accelerates your path upward.
Which industries hire the most mid level bioinformaticss?
Mid Level bioinformatics 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 are actively scaling precision medicine programs, drug discovery pipelines, and clinical genomics initiatives that require analysts who can work independently rather than under close supervision.