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Biotechnology Bioinformatics Jobs in Ohio (NOW HIRING)

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$138 - $207/hr

... biotech, or equivalent industry background. * Demonstrated experience applying AI/ML to biological data (computational biology, bioinformatics, or similar). * Experience in or familiarity with ...

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All JobsBiotechnology Bioinformatics JobsBiotechnology Bioinformatics Jobs in Ohio

Biotechnology Bioinformatics information

See Ohio salary details

$56.6K

$89.8K

$142.1K

How much do biotechnology bioinformatics jobs pay per year?

As of Aug 13, 2026, the average yearly pay for biotechnology bioinformatics in Ohio is $89,816.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,200.00 and $123,100.00 per year, depending on experience, location, and employer.

Is bioinformatics still a good career?

Bioinformatics is a growing field with strong demand in biotechnology, healthcare, and research sectors due to advances in genomics and data analysis. Professionals typically need skills in programming, statistics, and biology, and job opportunities are expected to remain stable as data-driven approaches become more integral to scientific discovery.

What is the difference between Biotechnology Bioinformatics vs Molecular Biologist?

AspectBiotechnology BioinformaticsMolecular Biologist
Required CredentialsBachelor's or Master's in Bioinformatics, Biotechnology, or related fields; often includes programming skillsBachelor's or Master's in Molecular Biology, Genetics, or related fields; laboratory experience essential
Work EnvironmentLaboratories, research centers, biotech companies; focus on data analysis and computational toolsWet labs, research institutions, hospitals; focus on experimental work and biological assays
Employer & Industry UsageBiotech firms, pharmaceutical companies, research institutionsAcademic labs, healthcare, research institutes

Biotechnology Bioinformatics primarily involves analyzing biological data using computational methods, while Molecular Biologists focus on experimental research in biological systems. Both roles are vital in biotech and research sectors but differ in skills and daily tasks.

What jobs can I get with biotechnology bioinformatics?

Biotechnology bioinformatics graduates can pursue roles such as bioinformatics analyst, computational biologist, research scientist, or data scientist in biotech companies, pharmaceutical firms, or research institutions. These positions often require skills in programming, data analysis, and understanding of biological data, with familiarity in tools like R, Python, and genomic databases.

How do bioinformatics professionals in biotechnology typically collaborate with laboratory scientists?

Bioinformatics professionals in biotechnology often work closely with laboratory scientists to analyze and interpret complex biological data, such as genomic sequences or protein structures. Collaboration usually involves regular meetings to discuss experimental design, data requirements, and results interpretation. Bioinformaticians may assist in developing custom analysis pipelines, troubleshooting issues, and translating computational findings into actionable insights for experimental work. This teamwork is crucial for advancing research projects and ensuring that computational and experimental efforts are well-integrated.

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

To thrive as a Biotechnology Bioinformatics professional, you need a solid background in molecular biology, genetics, and computational data analysis, typically supported by a degree in bioinformatics, biotechnology, or a related field. Familiarity with programming languages (such as Python, R), bioinformatics software (like BLAST, Bioconductor), and experience with databases (e.g., GenBank) are commonly required. Strong problem-solving skills, attention to detail, and effective communication help professionals collaborate and interpret complex biological data. These skills are essential for advancing research, developing innovative solutions, and translating biological data into actionable insights.

What is biotechnology bioinformatics?

Biotechnology bioinformatics is a field that combines biology, computer science, and information technology to analyze and interpret biological data, especially large datasets like DNA sequences, protein structures, and gene expression profiles. Professionals in this area develop and apply computational tools to solve problems in biotechnology, such as drug discovery, genetic engineering, and personalized medicine. Their work enables researchers to make sense of complex biological information, accelerating innovation in healthcare, agriculture, and environmental science.

What are the most commonly searched types of Biotechnology Bioinformatics jobs in Ohio?

The most popular types of Biotechnology Bioinformatics jobs in Ohio are:

What are popular job titles related to Biotechnology Bioinformatics jobs in Ohio?

For Biotechnology Bioinformatics jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Biotechnology Bioinformatics jobs in Ohio look for?

The top searched job categories for Biotechnology Bioinformatics jobs in Ohio are:

What cities in Ohio are hiring for Biotechnology Bioinformatics jobs?

Cities in Ohio with the most Biotechnology Bioinformatics job openings:

Biotechnology Bioinformatics jobs near you
Infographic showing various Biotechnology Bioinformatics job openings in Ohio as of August 2026, with employment types broken down into 6% Internship, 77% Full Time, 11% Part Time, 1% Temporary, and 5% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $89,816 per year, or $43.2 per hour.

Founding Scientist / Co-Founder

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On-site

$138 - $207/hr

Other

Posted 2 days ago

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Job description

About the Role

This is a rare opportunity to join as a Founding Scientist / Co-Founder at an early-stage startup at the intersection of AI and wet-lab biology, operating within the aerospace and defense sector. You will combine hands‑on biological expertise with computational thinking to shape the company's scientific strategy and core technology — bridging laboratory work with AI‑driven workflows to accelerate discovery.

This role is on‑site in Germany. Candidates must be eligible to work in Germany without visa sponsorship.

What You'll Do

  • Define and lead the scientific vision and research roadmap for early‑stage AI + wet‑lab products.

  • Design and execute key experiments in molecular biology, biochemistry, or genomics to validate models and assays.

  • Collaborate closely with engineers and ML researchers to translate experimental needs into computational requirements.

  • Implement and oversee lab automation and data pipelines to scale experiments and improve reproducibility.

  • Prototype computational tools and analyses; contribute code or notebooks integrating wet‑lab data with models.

  • Mentor and recruit early scientific hires; establish laboratory best practices and safety standards.

  • Help navigate sector‑specific constraints unique to aerospace and defense applications.

What We're Looking For

Required:

  • PhD in Biotechnology, Genomics, Biology, or a closely related field.

  • Senior‑level research experience in molecular biology, biochemistry, genomics, biotech, or equivalent industry background.

  • Demonstrated experience applying AI/ML to biological data (computational biology, bioinformatics, or similar).

  • Experience in or familiarity with aerospace or defense domains, including an understanding of sector‑specific constraints.

  • Comfortable with computational thinking and coding; experience with ML is a strong plus.

  • Must be eligible to work in Germany without visa sponsorship.

Nice to Have:

  • Prior experience at AI‑for‑biology companies, biotech startups, or similar industry environments.

  • Hands‑on lab automation experience.

  • Prior founder experience or direct experience scaling early‑stage teams and operations.

  • Entrepreneurial mindset with comfort navigating ambiguity in a fast‑moving startup environment.

  • Strong cross‑functional communication and collaboration skills.

Ideal Background: Research or training at a leading institution or university, with a track record that combines rigorous wet‑lab science and computational fluency. Candidates with backgrounds at defense‑adjacent biotech firms or aerospace technology companies are particularly well‑suited.

What You'll Be Building

You will work at the frontier of AI‑accelerated biology, helping to build systems that tightly integrate machine learning models with experimental wet‑lab workflows. The team values intellectual curiosity, a bias toward action, and the ability to move fluidly between the bench and the codebase.

Location & Work Arrangement

  • Location: Germany (on‑site)

  • Remote: Not available for this role

  • Visa Sponsorship: Not available — candidates must have existing eligibility to work in Germany

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