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Bioinformatics Data Engineer Jobs in Texas (NOW HIRING)

Baylor Genetics

Sr HPC Engineer

Houston, TX · On-site

$96K - $132K/yr

... data platforms. This role will design, build, and operate scalable, high-throughput computing ... The ideal candidate combines strong systems engineering skills with bioinformatics domain knowledge ...

4431

Data Scientist II

Dallas, TX · On-site

Impacts data acquisition, management, and analysis in basic, translational, and clinical research ... Bioinformatics, (Bio)mathematics, (Bio)statistics, Physics, Electrical Engineering, or related ...

New

Exatech Inc

Azure Data Solutions Architect

Dallas, TX · On-site

$62.75 - $81.75/hr

Azure Data Solutions Architect Remote Xebia is in need of a leading technical contributor who can ... engineering, or bioinformatics/computational biology, with 4+ years of experience (or MS with 2+ ...

Battelle

Data Scientist II

San Antonio, TX · On-site

... Engineering with a minor, certificate, or emphasis in computer science, data science, bioinformatics and relevant work experience requiring computer programming. * Demonstrated proficiencies in ...

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Bioinformatics Data Engineer information

How do Bioinformatics Data Engineers typically collaborate with researchers and other teams in a biomedical organization?

Bioinformatics Data Engineers often work closely with biologists, data scientists, and software engineers to ensure the effective collection, processing, and analysis of complex biological data. They regularly participate in cross-functional meetings to understand research goals, develop data pipelines, and troubleshoot data-related issues. Collaboration is essential, as engineers must translate scientific requirements into technical solutions, provide data access and visualization tools, and support researchers in extracting meaningful insights from large datasets. This teamwork fosters a dynamic environment where communication and adaptability are key.

What is the difference between Bioinformatics Data Engineer vs Bioinformatics Analyst?

AspectBioinformatics Data EngineerBioinformatics 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 EnvironmentData pipelines, database management, software developmentData interpretation, report generation, biological data analysis
Employer & Industry UsageBiotech companies, research labs, pharmaResearch institutions, healthcare, biotech
Common Search & ComparisonFocuses on data infrastructure and pipelinesFocuses on biological data interpretation

The main difference between a Bioinformatics Data Engineer and a Bioinformatics Analyst lies in their focus areas. Data Engineers build and maintain data pipelines and infrastructure, while Analysts interpret biological data to generate insights. Both roles require strong bioinformatics knowledge, but Data Engineers emphasize programming and data management, whereas Analysts focus on biological interpretation and reporting.

What is a Bioinformatics Data Engineer?

A Bioinformatics Data Engineer is a professional who designs, develops, and maintains data infrastructure for managing and analyzing large-scale biological data, such as genomics or proteomics datasets. They build pipelines and tools to process, store, and retrieve complex biological information efficiently. Their work enables researchers and scientists to access and interpret data for discoveries in fields like medicine, genetics, and biotechnology. Often, they collaborate closely with bioinformaticians, data scientists, and software engineers to support research initiatives.

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

To thrive as a Bioinformatics Data Engineer, you need a strong background in computer science, biology, and statistics, often supported by a relevant degree and experience in data engineering. Proficiency with programming languages (such as Python, R, or SQL), bioinformatics tools, cloud platforms, and big data frameworks (like Hadoop or Spark) is typically required. Strong problem-solving, collaboration, and communication skills help you work effectively across interdisciplinary teams and convey complex findings. These skills ensure accurate analysis, efficient data pipeline development, and meaningful insights that advance biological research and healthcare solutions.
What are popular job titles related to Bioinformatics Data Engineer jobs in Texas? For Bioinformatics Data Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Data Engineer jobs in Texas look for? The top searched job categories for Bioinformatics Data Engineer jobs in Texas are:
What cities in Texas are hiring for Bioinformatics Data Engineer jobs? Cities in Texas with the most Bioinformatics Data Engineer job openings:
Bioinformatics Data Engineer jobs near you
Infographic showing various Bioinformatics Data Engineer job openings in Texas as of July 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 86% In-person, and 14% Remote job distribution.
Postdoctoral Associate - Clinical Bioinformatics

Postdoctoral Associate - Clinical Bioinformatics

Baylor College of Medicine

Houston, TX

Full-time

Posted yesterday

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.

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