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Bioinformatics Engineering Jobs in Texas (NOW HIRING)

Baylor Genetics

Sr Infrastructure Engineer

Houston, TX · On-site

$99K - $135K/yr

Collaborate cross-functionally with bioinformatics, clinical lab, and IT teams to align ... engineering experience in a complex, predominantly on-premises environment. * Deep expertise in ...

4430

Data Scientist I

Dallas, TX · On-site

S. in Computer Science, Bioinformatics, (Bio)mathematics, (Bio)statistics, Physics, Electrical Engineering, or related field or Bachelor's Degree B.S. with demonstrated experience in broadly defined ...

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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 or leadership roles. Achieving this level often requires a combination of technical expertise, industry experience, and sometimes managerial responsibilities.

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.

How much does a bioinformatics engineer make?

The average salary for a bioinformatics engineer typically ranges from $70,000 to $120,000 annually, depending on experience, education, and location. Professionals with advanced skills in programming, data analysis, and familiarity with tools like Python, R, and Linux tend to earn higher salaries.

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 earn $300,000 or more annually, especially in high-demand biotech or pharmaceutical industries. Achieving this level often requires advanced degrees, certifications, and leadership responsibilities.
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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
Pediatrics - Neurology NRI (Instructor)

Pediatrics - Neurology NRI (Instructor)

Baylor College of Medicine

Houston, TX

Full-time

Posted 12 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

51st of 537 rated colleges and universities

Job description

Summary

We are seeking a highly motivated and innovative Gene Editing Scientist to join a multidisciplinary team focused on developing cutting-edge human models of disease and advancing translational applications in neurodevelopmental and neurodegenerative disorders. The successful candidate will lead and execute genome engineering strategies across a range of platforms, including human induced pluripotent stem cells (iPSCs), 2D human brain models, and organoids. This position offers a unique opportunity to contribute to transformative discoveries at the intersection of gene editing and human disease modeling.

Job Duties
  • Design, develop, and optimize genome editing strategies using CRISPR/Cas systems (e.g., CRISPR-Cas9, base editing, prime editing)
  • Generate and validate genetically modified cell lines, including iPSCs and differentiated neural cell types
  • Perform clonal selection, screening, and molecular validation (PCR, sequencing, off-target analysis)
  • Collaborate with cross-functional teams (genetics, bioinformatics, cell biology, electrophysiology) to integrate multi-omics and functional data
  • Maintain detailed experimental records and contribute to publications, grant applications, and presentations
  • Stay current with emerging genome editing technologies and implement innovative approaches
  • Ensure compliance with institutional biosafety and regulatory guidelines
Minimum Qualifications
  • Ph.D. in Molecular Biology, Genetics, Neuroscience, Bioengineering, or related
  • field
  • 3+ years of hands-on experience in genome editing, particularly CRISPR-based
  • approaches
  • Demonstrated expertise in mammalian cell culture, including stem cells (iPSCs
  • preferred)
  • Experience with cloning, vector design, and delivery systems (viral and non-viral)
  • Strong background in molecular biology techniques (PCR, qPCR, NGS, Western
  • blotting)
  • Experience with clonal isolation and validation of edited lines
  • Ability to design experiments independently and troubleshoot complex protocols
  • Strong organizational, analytical, and communication skills

Preferred Qualifications

  • Experience with advanced genome editing technologies (base editing, prime editing, epigenome editing)
  • Familiarity with iPSC-derived models including organoid systems or 3D cell culture models
  • Experience working with neurological or developmental disease models
  • Knowledge of off-target analysis and genome-wide screening approaches
  • Experience with automation/robotics platforms for cell engineering workflows
  • Bioinformatics skills related to sequence analysis

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

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