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 Science & Research, Education, and Biotechnology & Pharmaceuticals, with a mix of on-site, remote, and hybrid positions, and employers like Thermo Fisher Scientific, BD, and LatchBio hiring at this level now.
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Showing 5 of 11+ Mid Level Bioinformatics jobs
Work Schedule
Standard (Mon-Fri)Environmental Conditions
OfficeJob Description
As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.
DESCRIPTION:
We are seeking to hire a highly motivated Bioinformatics Scientist with hands-on experience in data-driven cell culture media design. The successful candidate will join a multi-functional team and help support and bridge small-scale cell culture with machine learning and omics data interpretation, with a particular focus on CHO and HEK cells. The aim is to generate new solutions about upstream bioprocessing to guide the development of new cell culture products that support the commercial production of novel biologic therapeutics. Working in a collaborative environment, you'll contribute to innovative projects while supporting our mission of enabling customers to make the world healthier, cleaner, and safer.
What will you do?
- Leverage bioinformatics tools including machine learning models and metabolic flux analysis, and implement knowledge bases to provide actionable insights for cell culture media development and bioproduction process optimization.
- Provide bioinformatics support and manage multi-omics data integration, documentation, and report preparation for scientific services and research projects.
- Under minimal supervision, the successful candidate will be expected to perform data analysis on experimental data, interpret analysis results, and communicate and present findings in team meetings.
- Contribute to the development of innovative computational models and omics approaches to solve biological problems related to bioproduction processes.
How will you get here?
Education
- MS in Bioinformatics, Computational Biology, Cell Biology, or related field (PhD is preferred)
Experience
- At least three (3) years of related experience
- Experience in utilizing machine learning and statistical models.
- Experience in upstream process development including process and media optimization.
- Experience with pathway enrichment, network analysis and multi-omics integration and interpretation.
- Proficiency in programming languages such as Python or R
Knowledge, Skills, Abilities
- Strong understanding of statistical inference and machine learning techniques.
- Knowledge in molecular and cellular biology.
- Present data for review, group discussions, and team meetings
- Multi-task effectively and prioritize multiple projects with guidance.
- Proven track record that could work efficiently both independently and as part of a team.
- Excellent verbal and written communication skills.
- Ability to analyze, interpret and summarize scientific results in a clear, concise, and accurate manner.
- Ability to work in a cross-functional and interdisciplinary team.
Preferred Qualifications
- Statistical Design of Experiment (DOE) experience.
- Experience in HPLC-MS-based proteomics and metabolomics.
Compensation and Benefits
The salary range estimated for this position based in New York is $87,200.00–$116,200.00.This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:
A choice of national medical and dental plans, and a national vision plan, including health incentive programs
Employee assistance and family support programs, including commuter benefits and tuition reimbursement
At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy
Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount
For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards
Work Schedule
Standard (Mon-Fri)Environmental Conditions
OfficeJob Description
As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.
DESCRIPTION:
We are seeking to hire a highly motivated Bioinformatics Scientist with hands-on experience in data-driven cell culture media design. The successful candidate will join a multi-functional team and help support and bridge small-scale cell culture with machine learning and omics data interpretation, with a particular focus on CHO and HEK cells. The aim is to generate new solutions about upstream bioprocessing to guide the development of new cell culture products that support the commercial production of novel biologic therapeutics. Working in a collaborative environment, you'll contribute to innovative projects while supporting our mission of enabling customers to make the world healthier, cleaner, and safer.
What will you do?
- Leverage bioinformatics tools including machine learning models and metabolic flux analysis, and implement knowledge bases to provide actionable insights for cell culture media development and bioproduction process optimization.
- Provide bioinformatics support and manage multi-omics data integration, documentation, and report preparation for scientific services and research projects.
- Under minimal supervision, the successful candidate will be expected to perform data analysis on experimental data, interpret analysis results, and communicate and present findings in team meetings.
- Contribute to the development of innovative computational models and omics approaches to solve biological problems related to bioproduction processes.
How will you get here?
Education
- MS in Bioinformatics, Computational Biology, Cell Biology, or related field (PhD is preferred)
Experience
- At least three (3) years of related experience
- Experience in utilizing machine learning and statistical models.
- Experience in upstream process development including process and media optimization.
- Experience with pathway enrichment, network analysis and multi-omics integration and interpretation.
- Proficiency in programming languages such as Python or R
Knowledge, Skills, Abilities
- Strong understanding of statistical inference and machine learning techniques.
- Knowledge in molecular and cellular biology.
- Present data for review, group discussions, and team meetings
- Multi-task effectively and prioritize multiple projects with guidance.
- Proven track record that could work efficiently both independently and as part of a team.
- Excellent verbal and written communication skills.
- Ability to analyze, interpret and summarize scientific results in a clear, concise, and accurate manner.
- Ability to work in a cross-functional and interdisciplinary team.
Preferred Qualifications
- Statistical Design of Experiment (DOE) experience.
- Experience in HPLC-MS-based proteomics and metabolomics.
Compensation and Benefits
The salary range estimated for this position based in New York is $87,200.00–$116,200.00.This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:
A choice of national medical and dental plans, and a national vision plan, including health incentive programs
Employee assistance and family support programs, including commuter benefits and tuition reimbursement
At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy
Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount
For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards
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- Science & Research
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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 Thermo Fisher Scientific, BD, and LatchBio, based on current listings on Migrate Mate as of August 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 33% of mid level bioinformatics openings are remote or hybrid as of August 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 Science & Research, Education, and Biotechnology & Pharmaceuticals, based on current listings on Migrate Mate as of August 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.