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Bioinformatics Engineering Jobs in Texas (NOW HIRING)

Apple

UEFI BIOS Engineer - Data Center HWE

Austin, TX

$150K - $277K/yr

This is an excellent opportunity to make a significant impact and collaborate with highly skilled teams dedicated to engineering excellence. Your work will be instrumental in delivering features that ...

Apple

UEFI BIOS Engineer - Data Center HWE

Austin, TX · On-site

This is an excellent opportunity to make a significant impact and collaborate with highly skilled teams dedicated to engineering excellence. Your work will be instrumental in delivering features that ...

Baylor Genetics

Head of Lab Technology Platforms

Houston, TX · On-site

$97K - $127K/yr

Strong software engineering skills and strong project management experience. * Familiar with bioinformatics and genomics pipelines. * Experience in production environment in both on-prem HPC and ...

Quest Global

UEFI/BIOS Test Engineer - Onsite

Spring, TX · On-site

$55K - $65K/yr

Job Requirements Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry knowledge and digital expertise. By bringing together technologies and industries ...

Apple

UEFI BIOS Engineer - Data Center HWE

Austin, TX

$150K - $277K/yr

This is an excellent opportunity to make a significant impact and collaborate with highly skilled teams dedicated to engineering excellence. Your work will be instrumental in delivering features that ...

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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.
What are popular job titles related to Bioinformatics Engineering jobs in Texas? For Bioinformatics Engineering jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Engineering jobs in Texas look for? The top searched job categories for Bioinformatics Engineering jobs in Texas are:
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.
Postdoctoral Associate - Clinical Bioinformatics

Postdoctoral Associate - Clinical Bioinformatics

Baylor College of Medicine

Houston, TX • On-site

Full-time

Posted 2 days ago

Baylor College of Medicine rating

8.6

Company rating: 8.6 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

56th of 555 rated colleges and universities

Job description

Summary

The lab is seeking a postdoctoral researcher to collaborate on groundbreaking projects integrating patient-level data with artificial intelligence (AI) and machine learning (ML) methodologies. The position involves annotating clinical data, collaborating with AI/ML/NLP teams, developing algorithms, and generating insights to improve patient care. The Postdoctoral Associate will write manuscripts, present research findings locally and nationally, and contribute to advancing clinical informatics.

Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates.

Job Duties
  • Collaborates on the development of AI/ML/NLP-driven solutions for healthcare challenges.
  • Reads and interprets patient-level data to support the development of AI/ML/NLP algorithms for clinical applications.
  • Annotates medical notes and datasets to facilitate training and validation of predictive models.
  • Collaborates with data scientists, machine learning engineers, and clinical collaborators to design, implement, and validate innovative algorithms.
  • Conducts exploratory data analysis to extract meaningful insights from complex datasets.
  • Writes manuscripts and prepare presentations for local, national, and international conferences.
  • Conducts literature reviews and maintains awareness of advancements in bioinformatics, AI, and clinical data analysis.
  • Applies foundational knowledge of biostatistics and AI principles to inform study design and algorithm development.
  • Tests, debugs, and validates models in partnership with technical and clinical teams.
  • Ensures adherence to ethical guidelines for the use of patient data in research and development.
  • Works closely with the Artificial Intelligence in Health Lab (AIH-Lab) and the BD-STEP program to advance clinical informatics research.
  • Leverages clinical expertise to refine machine learning models, ensuring clinical relevance and accuracy.
  • Collaborates on the integration of clinical datasets into broader health informatics systems.
  • Provides expert annotations for training large language models (LLMs) and NLP algorithms, focusing on healthcare-specific use cases.
  • Presents findings in department meetings and seminars and support grant writing and funding initiatives.
  • Mentors trainees or junior team members in clinical informatics and research methods as needed.
  • Performs other job-related duties as assigned.
Minimum Qualifications
  • MD or Ph.D. in Basic Science, Health Science, or a related field.
  • No experience required.
Preferred Qualifications
  • MD passionate about clinical bioinformatics and driving innovation in healthcare. 
  • Able to write manuscripts, present research findings locally and nationally, and contribute to advancing clinical informatics.
  • Background in basics statics.
  • Background in basics AI.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.

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