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Senior Bioinformatics Software Engineer Jobs (NOW HIRING)

Baylor Genetics

Sr HPC Engineer

Houston, TX · On-site

$96K - $132K/yr

JOB SUMMARY We are seeking a Senior HPC Engineer with deep hands-on experience in high-performance ... of bioinformatics software and workflows. • Implement monitoring and operational best practices ...

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How much do senior bioinformatics software engineer jobs pay per year?

As of Jun 27, 2026, the average yearly pay for senior bioinformatics software engineer in the United States is $102,271.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $110,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Bioinformatics Software Engineer, and why are they important?

To thrive as a Senior Bioinformatics Software Engineer, you need a strong background in computer science, biology, and data analysis, often supported by an advanced degree in bioinformatics or a related field. Expertise with programming languages (such as Python, R, or Java), cloud computing, bioinformatics tools, and version control systems is typically required, along with experience using databases and relevant software frameworks. Strong problem-solving skills, collaboration, and effective communication are crucial soft skills for working with multidisciplinary teams and presenting complex data. These combined skills enable the effective development and maintenance of robust software tools that support cutting-edge biological research and data-driven discoveries.

How does a Senior Bioinformatics Software Engineer typically collaborate with cross-functional teams in a research or clinical setting?

Senior Bioinformatics Software Engineers frequently work alongside biologists, data scientists, and clinicians to develop and maintain computational pipelines for data analysis. They play a key role in translating complex biological questions into scalable software solutions, often leading code reviews, mentoring junior developers, and ensuring data integrity. Regular meetings and clear communication are vital, as the role requires aligning technical development with scientific goals and regulatory requirements. This collaborative environment offers opportunities to influence project direction and contribute to impactful discoveries.

What does a Senior Bioinformatics Software Engineer do?

A Senior Bioinformatics Software Engineer designs, develops, and maintains software tools and pipelines to analyze biological data, such as genomic or proteomic information. They work closely with scientists and researchers to understand data requirements and translate them into efficient, scalable computational solutions. Their responsibilities often include coding, troubleshooting, optimizing algorithms, as well as mentoring junior engineers and contributing to project planning. Senior engineers are expected to have strong programming skills, a solid understanding of bioinformatics concepts, and experience working with large biological datasets.

What is the difference between Senior Bioinformatics Software Engineer vs Bioinformatics Software Engineer?

AspectSenior Bioinformatics Software EngineerBioinformatics Software Engineer
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related field; experience in software development and bioinformatics toolsBachelor's or Master's in Bioinformatics, Computer Science, or related field; less emphasis on extensive experience
Work EnvironmentResearch labs, biotech companies, healthcare institutions, often leading projectsResearch teams, biotech firms, academic settings, supporting bioinformatics analysis
Employer & Industry UsageUsed in biotech, pharma, healthcare, research institutionsCommon in similar industries, often as entry to mid-level roles

The main difference between a Senior Bioinformatics Software Engineer and a Bioinformatics Software Engineer lies in experience and responsibility. Senior roles typically require more advanced skills, leadership, and project management, while entry-level roles focus on supporting bioinformatics analysis and software development. Both roles are vital in biotech and research industries, but senior positions involve greater oversight and strategic input.

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What cities are hiring for Senior Bioinformatics Software Engineer jobs? Cities with the most Senior Bioinformatics Software Engineer job openings:
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Senior Bioinformatics Software Engineer jobs near you
Infographic showing various Senior Bioinformatics Software Engineer job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $102,271 per year, or $49.2 per hour.
Sr. Bioinformatics ML/AI Engineer

Sr. Bioinformatics ML/AI Engineer

Baylor Genetics

Houston, TX • On-site

Full-time

Posted 7 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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