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Computer Science Bioinformatics Jobs (NOW HIRING)

Natera

OR · On-site

Ph.D. in Bioinformatics, Computer Science, Engineering, Biochemistry, or a related quantitative field with 0-3 years of professional experience * Masters in Bioinformatics, Computer Science ...

Natera

Senior Bioinformatics Scientist

San Carlos, CA · On-site

Ph.D. in Bioinformatics, Computer Science, Engineering, Biochemistry, or a related quantitative field with 0-3 years of professional experience * Masters in Bioinformatics, Computer Science ...

ACL Digital

Bioinformatics Engineer

Foster City, CA · On-site

$80/hr

Required Qualificati ons • PhD in bioinformatics, computational biology, computer science, or related fie ld. • Proven de novo assembly experience on long reads (PacBio HiFi and/or ONT ...

Nationwide Children's Hospital

PhD in Bioinformatics, Computational Biology, Computer Science, Biology, Genetics, or related field, required. Skills: * Must have diverse computational and biological expertise. * Must have ...

Guidehouse

Bioinformatics Scientist

Durham, NC

Master's degree in Bioinformatics, Computational Biology, Data Science, Biostatistics, Computer Science, or a related quantitative field. * A minimum of ONE (1) year of experience in bioinformatics ...

Guidehouse

Bioinformatics Scientist

Durham, NC · On-site

Master's degree in Bioinformatics, Computational Biology, Data Science, Biostatistics, Computer Science, or a related quantitative field. * A minimum of ONE (1) year of experience in bioinformatics ...

Guidehouse

Bioinformatics Scientist

Durham, NC

Master's degree in Bioinformatics, Computational Biology, Neuroscience, Biostatistics, Computer Science, Physics, Mathematics, or a related discipline. * A minimum of ONE (1) year bioinformatics ...

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Computer Science Bioinformatics information

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How much do computer science bioinformatics jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for computer science bioinformatics in the United States is $42.79, according to ZipRecruiter salary data. Most workers in this role earn between $42.55 and $43.03 per hour, depending on experience, location, and employer.

Is AI going to replace bioinformatics?

Bioinformatics professionals use AI and machine learning tools to analyze biological data, but AI is designed to augment rather than replace human expertise in interpreting complex biological information. Skills in programming, data analysis, and understanding biological concepts remain essential for bioinformatics roles, with AI serving as a complementary tool to improve efficiency and accuracy.

Is bioinformatics a high paying job?

Bioinformatics professionals, including those with roles in computer science and biology, often earn competitive salaries due to their specialized skills in programming, data analysis, and biological research. Salaries vary based on experience, education, location, and industry, but many positions offer above-average compensation compared to other entry-level science roles.

How is computer science used in bioinformatics?

In bioinformatics, computer science provides tools and methods for analyzing biological data, such as DNA, RNA, and protein sequences. It involves developing algorithms, databases, and software to interpret large datasets, enabling discoveries in genomics, drug development, and personalized medicine. Skills in programming, data structures, and computational modeling are essential for bioinformatics roles.

What are some typical daily responsibilities for someone working in Computer Science Bioinformatics?

Professionals in Computer Science Bioinformatics typically spend their days designing and implementing algorithms to analyze large-scale biological datasets, developing custom software tools, and interpreting results to support ongoing research. Collaboration with biologists, clinicians, and other computational scientists is common, requiring regular meetings to discuss project goals, troubleshoot issues, and refine data analysis approaches. You may also be expected to keep up with new technologies and scientific literature to ensure your methods remain cutting-edge. The dynamic nature of this field means your tasks can evolve quickly, providing opportunities to tackle novel problems and drive meaningful impact in science and medicine.

What are the key skills and qualifications needed to thrive in the Computer Science Bioinformatics position, and why are they important?

To thrive in Computer Science Bioinformatics, you need a solid background in computer science, biology, and statistics, often supported by a relevant degree or advanced certification. Proficiency in programming languages such as Python, R, and experience with bioinformatics tools and databases like BLAST, GenBank, and cloud platforms are highly valuable. Strong analytical thinking, problem-solving abilities, and effective communication are essential soft skills for this interdisciplinary field. These skills allow professionals to efficiently analyze complex biological data, collaborate with cross-functional teams, and contribute to critical discoveries in healthcare and biotechnology.

What is a Computer Science Bioinformatics job?

A Computer Science Bioinformatics job involves using computational techniques to analyze and interpret biological data, such as DNA sequences, protein structures, and genomic information. Professionals in this field develop algorithms, software tools, and databases to support biological research and medical advancements. They work in areas like genomics, drug discovery, and personalized medicine, often collaborating with biologists, chemists, and healthcare professionals. Strong programming skills, data analysis expertise, and knowledge of biology are essential for success in this field.

What jobs can I get with bioinformatics?

With a background in bioinformatics, common job roles include bioinformatics analyst, computational biologist, research scientist, and data analyst. These positions often require skills in programming, data analysis, and familiarity with biological databases and tools like R, Python, and SQL.
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Computer Science Bioinformatics jobs near you
Infographic showing various Computer Science Bioinformatics job openings in the United States as of June 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $89,000 per year, or $42.8 per hour.
Sr. Bioinformatics ML/AI Engineer

Sr. Bioinformatics ML/AI Engineer

Baylor Genetics

Houston, TX • On-site

Full-time

Posted 8 days ago

Job description

Job Summary:
Baylor Genetics is a company specializing in genetic testing and bioinformatics solutions. They are seeking a seasoned machine learning and AI application engineer to develop and support their next-generation bioinformatics ML/AI platform, focusing on genomic and clinical data modeling and application development.
Responsibilities:
• Serves as the SME in Bioinformatics ML/AI application development in a clinical genetic testing setting. Provides hands-on support towards building the company’s next-generation bioinformatics ML/AI platform
• Designs, develops, evaluates, and deploys state-of-the-art ML/AI solutions to gain valuable data insights based on the genetical, phenotypical, and clinical datasets
• Evaluates, adopts, and customizes GenAI models based on both internal and external datasets to enhance the overall performance of the genetic testing workflow
• Supports both internal and external data requirements by leveraging AI/ML and GenAI capabilities to keep up with the increasing demands of the business
• Collaborates in a multidisciplinary and regulated clinical diagnostics environment with geneticists, bioinformaticians, software engineers, and IT infrastructure professionals
Qualifications:
Required:
• Master's or higher degree in Computer Engineering, Data Science, Bioinformatics, Machine Learning, and Data modeling, or related field with five (5) years of experience in genomic data analysis and application development.
• Hands-on experience in clinical bioinformatics pipeline development, including secondary/tertiary analysis, variant interpretation and classification pipeline R&D, and automated report generation
• Hands-on experience in human genetics/multi-omics data modeling and application development, especially in next-generation sequencing data
• Hands-on experience in machine learning framework (such as Huggingface, TensorFlow)
• Hands-on experience in automated and scalable AI/GenAI application evaluation, development, and deployment.
• Hands-on experience in RAG AI framework
• Hands-on experience with scripting languages, such as Bash and Python
• Strong experience in cloud platform (Azure) and data services (data lakehouse/data warehouse)
• Experience in context-aware OCR
• Experience in databases, including SQL and NoSQL
• Familiarity with advanced data visualization techniques
• Strong curiosity and the ability to learn quickly and adapt to a fast-changing environment
Preferred:
• DevOps experience such as unit testing, CI/CD is a plus.
Company:
Baylor Genetics offers a full spectrum of cost-effective, genetic testing, and provides clinically relevant solutions. Founded in 1978, the company is headquartered in Houston, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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