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Bioinformatics Engineer Jobs in Buffalo, NY (NOW HIRING)

Formation Bio

Director, Data Science

Boston, NY · On-site

$235K - $307K/yr

Strong programming skills, particularly in Python * Extensive experience in multi-modal bioinformatics analysis Preferred Qualifications * Proven expertise in cloud computing environments, including ...

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Bioinformatics Engineer information

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$41.7K

$126.9K

$231K

How much do bioinformatics engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for bioinformatics engineer in Buffalo, NY is $126,946.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,000.00 and $152,100.00 per year, depending on experience, location, and employer.

What is a bioinformatics engineer?

A Bioinformatics Engineer is a professional who combines expertise in computer science, statistics, and biology to develop software tools and algorithms for analyzing biological data. They often work with large datasets such as genomic sequences, protein structures, and clinical information to help scientists make sense of complex biological systems. Their work is essential in fields like genomics, personalized medicine, and drug discovery, where managing and interpreting vast amounts of data is crucial. Bioinformatics Engineers may also collaborate with researchers to design experiments and interpret results, bridging the gap between biology and technology.

What are the key skills and qualifications needed to thrive as a bioinformatics engineer?

To thrive as a Bioinformatics Engineer, you need a strong background in biology, computer science, and statistics, often supported by a degree in bioinformatics or a related field. Experience with programming languages such as Python or R, familiarity with databases, and knowledge of tools like BLAST, Bioconductor, or next-generation sequencing (NGS) analysis platforms are typically required. Strong problem-solving, analytical thinking, and effective communication skills help you collaborate with interdisciplinary teams and convey complex findings. These skills and qualifications are essential for efficiently analyzing biological data, developing robust computational tools, and advancing research in genomics and life sciences.

What are some common challenges faced by bioinformatics engineers when integrating new data sources into existing pipelines?

Bioinformatics Engineers often encounter challenges such as data format inconsistencies, varying quality of datasets, and the need to ensure compatibility with existing analysis pipelines. Integrating new data sources may require custom scripts or tools for parsing and preprocessing, as well as thorough validation to maintain reproducibility and reliability of results. Collaboration with wet-lab scientists and software engineers is essential to clarify data requirements and streamline the integration process.

What is the difference between Bioinformatics Engineer vs Bioinformatics Analyst?

AspectBioinformatics EngineerBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skillsBachelor's or Master's in Bioinformatics, Biology, or related fields; data analysis skills
Work EnvironmentResearch labs, biotech companies, pharmaceutical firmsResearch institutions, healthcare organizations, biotech companies
Employer & Industry UsageDevelops tools, pipelines, and software for biological data analysisInterprets data, performs statistical analysis, and reports findings

While both roles require a background in bioinformatics and involve working with biological data, Bioinformatics Engineers focus on developing software and tools, whereas Bioinformatics Analysts primarily analyze and interpret data to support research and decision-making.

What does a bioinformatics engineer do?

A bioinformatics engineer develops and applies computational tools and algorithms to analyze biological data, such as genetic sequences and molecular structures. They often work with programming languages like Python or R, utilize databases, and collaborate with biologists to interpret data for research or medical purposes.
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Bioinformatics Engineer jobs near you
Infographic showing various Bioinformatics Engineer job openings in Buffalo, NY as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $126,946 per year, or $61 per hour.

Scientist III, Bioinformatics, Upstream Process Development

Thermo Fisher Scientific

Grand Island, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago

Thermo Fisher Scientific rating

7.8

Company rating: 7.8 out of 10

Based on 429 frontline employees who took The Breakroom Quiz

170th of 545 rated manufacturers

Job description

Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job 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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