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Trainee Bioinformatics Jobs in Texas (NOW HIRING)

Tamus

Research Specialist

College Station, TX · On-site

$5.4K/mo

Develops and maintains bioinformatics pipelines for data processing and quality control ... Mentors graduate students and other trainees in computational biology approaches. * Contributes to ...

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Trainee Bioinformatics information

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$45.7K

$189.6K

$372.7K

How much do trainee bioinformatics jobs pay per year?

As of Aug 6, 2026, the average yearly pay for trainee bioinformatics in Texas is $189,562.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,100.00 and $372,700.00 per year, depending on experience, location, and employer.

What kinds of projects or tasks can a trainee bioinformatics expect to work on during their initial months?

As a Trainee Bioinformatics, you can expect to contribute to projects involving data preprocessing, quality control, and basic analysis of biological datasets, such as genomic or transcriptomic data. You will likely collaborate closely with senior bioinformaticians, biologists, and software developers, assisting with data annotation, pipeline testing, and report generation. The early stages often focus on building foundational skills in scripting (such as Python or R), using bioinformatics tools, and understanding the lab's data workflows, which sets you up for more complex analytical tasks as you gain experience.

What is a trainee bioinformatics?

Trainee Bioinformaticians are entry-level professionals who are learning to apply computational and statistical methods to analyze biological data, such as DNA, RNA, or protein sequences. They often work under the supervision of experienced bioinformaticians or researchers, assisting with data processing, software development, and research projects. Their role is crucial in fields like genomics, biomedical research, and pharmaceutical development, as they help make sense of complex biological information. Trainee Bioinformaticians typically have a background in biology, computer science, or a related field, and are developing their skills in programming, data analysis, and bioinformatics tools.

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

To thrive as a Trainee Bioinformatics, you need a solid grounding in biology, statistics, and computer science, often backed by a relevant bachelor's or master's degree. Familiarity with programming languages such as Python or R, experience with bioinformatics databases, and use of tools like BLAST or Galaxy are typically required. Strong analytical thinking, attention to detail, and effective communication help you interpret complex data and collaborate with interdisciplinary teams. These skills and qualities are essential for extracting meaningful insights from biological data and supporting scientific research.

What is the difference between Trainee Bioinformatics vs Bioinformatics Analyst?

AspectTrainee BioinformaticsBioinformatics Analyst
Required CredentialsTypically a bachelor's degree in bioinformatics, biology, or related field; entry-levelBachelor's or master's degree; some roles prefer experience or certifications
Work EnvironmentTraining programs, internships, or entry-level positions in research labs or biotech companiesFull-time roles in research institutions, biotech firms, or healthcare organizations
Employer & Industry UsageUsed by employers for onboarding new talent or students gaining practical experienceUsed by employers for ongoing data analysis, research projects, and bioinformatics workflows

The main difference between a Trainee Bioinformatics and a Bioinformatics Analyst is experience level and responsibility. Trainee Bioinformatics roles are designed for individuals starting their careers, focusing on learning and skill development. Bioinformatics Analysts are more experienced professionals responsible for analyzing biological data, interpreting results, and supporting research projects.

What are the most commonly searched types of Bioinformatics jobs in Texas? The most popular types of Bioinformatics jobs in Texas are:
What are popular job titles related to Trainee Bioinformatics jobs in Texas? For Trainee Bioinformatics jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Trainee Bioinformatics jobs in Texas look for? The top searched job categories for Trainee Bioinformatics jobs in Texas are:
What cities in Texas are hiring for Trainee Bioinformatics jobs? Cities in Texas with the most Trainee Bioinformatics job openings:
Trainee Bioinformatics jobs near you
Infographic showing various Trainee Bioinformatics job openings in Texas as of August 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $189,562 per year, or $91.1 per hour.

Postdoctoral Associate - Clinical Bioinformatics

Baylor College of Medicine

Houston, TX • On-site

$62K/yr

Full-time

Re-posted 20 days ago

Baylor College of Medicine rating

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

184th of 615 rated colleges and universities

Job description

Postdoctoral Associate - Clinical Bioinformatics
Division: Medicine
Work Arrangement: Onsite only
Location: Houston, TX
Salary Range: $62,232
FLSA Status: Exempt
Work Schedule: Monday - Friday, 8 a.m. - 5 p.m.
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.
Nature; PD; SN
Requisition ID: 25496

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