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Bioinformatics Engineering Jobs in Texas (NOW HIRING)

Vytwo

Bioinformatics Pipeline Test Engineer

Prosper, TX · On-site

Bioinformatics Pipeline Test Engineer Domain EXP : (Healthcare Domain) Experience: 2+ Years of exp Location: San Diego CA "Onsite client office" Duration: 6 Months JD in brief: For these candidates ...

Baylor Genetics

Sr HPC Engineer

Houston, TX · On-site

$96K - $132K/yr

The ideal candidate combines strong systems engineering skills with bioinformatics domain knowledge and has proven experience managing petabyte-scale storage, workflow orchestration (e.g., Nextflow ...

University of Pennsylvania

Bioinformatician A

Center, TX · On-site

$57K - $89K/yr

The position focuses on genomic data analysis, bioinformatics pipeline development, and ... The role requires proficiency in genomic data analysis tools, statistical programming (R, Python ...

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Bioinformatics Engineering information

What is the difference between Bioinformatics Engineering vs Bioinformatics Analyst?

AspectBioinformatics EngineeringBioinformatics 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, healthcare institutionsResearch institutions, healthcare, pharmaceutical companies
Employer & Industry UsageDevelops tools, pipelines, and software for data analysisInterprets data, generates reports, supports research projects

Bioinformatics Engineering focuses on developing software and pipelines for data processing, requiring programming expertise. In contrast, Bioinformatics Analysts primarily interpret data and generate insights, often with a stronger emphasis on biological knowledge. Both roles are vital in biotech and healthcare industries, but they differ in technical scope and daily tasks.

What is a bioinformatics engineer?

A bioinformatics engineer is a professional who develops and applies computational tools and techniques to analyze and interpret biological data, such as DNA sequences or protein structures. They combine expertise in computer science, biology, and mathematics to create software, manage databases, and solve complex biological problems. Bioinformatics engineers often work in research, pharmaceuticals, healthcare, and biotechnology industries to help advance scientific discoveries and medical innovations.

What engineers make $500,000?

Senior bioinformatics engineers with extensive experience, advanced skills in programming, data analysis, and familiarity with tools like Python, R, and cloud platforms can reach salaries of $500,000 or more, especially in high-demand industries such as biotech and pharmaceuticals. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

Is there a demand for bioengineers?

Bioinformatics engineers are in high demand due to the growth of personalized medicine, genomics, and biotechnology industries. They often work with tools like sequencing technologies and programming languages such as Python or R, and strong analytical skills are essential for success in this field.

How do bioinformatics engineers typically collaborate with biologists and data scientists in a research setting?

Bioinformatics engineers frequently work in cross-disciplinary teams, partnering closely with biologists to understand experimental goals and with data scientists to analyze complex datasets. Effective communication is key, as engineers must translate biological questions into computational workflows and interpret results in a way that is meaningful to non-technical team members. This collaborative approach not only accelerates research but also helps engineers gain a deeper understanding of biological processes, which can lead to more innovative solutions and professional growth.

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

To thrive as a Bioinformatics Engineer, you need a solid background in biology, computer science, and statistics, often supported by a degree in bioinformatics or a related field. Familiarity with programming languages like Python or R, experience with bioinformatics tools (e.g., BLAST, GATK), and proficiency with databases and cloud computing platforms are typically required. Strong problem-solving, analytical thinking, and collaboration skills set standout professionals apart in this interdisciplinary field. These competencies are crucial for effectively analyzing complex biological data and driving innovation in life sciences research.

What do bioinformatics engineers do?

Bioinformatics engineers develop and implement 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 and medical applications.

What engineers make $300,000 a year?

Senior bioinformatics engineers with extensive experience, advanced skills in programming, data analysis, and familiarity with tools like Python, R, and cloud platforms can reach or exceed a $300,000 annual salary, especially in high-demand biotech or pharmaceutical industries. Such roles often require advanced degrees and leadership responsibilities, with compensation reflecting expertise and impact on research or product development.
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What cities in Texas are hiring for Bioinformatics Engineering jobs? Cities in Texas with the most Bioinformatics Engineering job openings:
Bioinformatics Engineering jobs near you
Infographic showing various Bioinformatics Engineering job openings in Texas as of July 2026, with employment types broken down into 9% As Needed, 44% Full Time, 5% Part Time, 1% Contract, 40% Nights, and 1% Summer. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.
Sr. Bioinformatics ML/AI Engineer

Sr. Bioinformatics ML/AI Engineer

Baylor Genetics

Houston, TX • On-site

Full-time

Re-posted 25 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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