ZipRecruiter

Log In

1

Bioinformatic Analyst Jobs in Texas (NOW HIRING)

Baylorgenetics

AD Scientific Innovation

Houston, TX · On-site

$140 - $180/hr

Deep knowledge of genomics, NGS analysis, statistical genetics, and computational biology. * Experience developing production-grade bioinformatics pipelines and software platforms. * Excellent ...

MD Anderson

Postdoctoral Fellow - Epidemiology

Houston, TX · On-site +1

$64K - $76K/yr

Responsibilities include preparing microbiome datasets, conducting bioinformatics analyses, interpreting data, and developing presentations of results for publications and scientific conferences. All ...

MD Anderson

Postdoctoral Fellow - Epidemiology

Houston, TX · On-site +1

$64K - $76K/yr

Responsibilities include preparing microbiome datasets, conducting bioinformatics analyses, interpreting data, and developing presentations of results for publications and scientific conferences. All ...

MD Anderson

Postdoctoral Fellow - Epidemiology

Houston, TX · On-site +1

$64K - $76K/yr

Responsibilities include preparing microbiome datasets, conducting bioinformatics analyses, interpreting data, and developing presentations of results for publications and scientific conferences. All ...

Tamus

Postdoctoral Research Associate

College Station, TX · On-site

$5.0K/mo

... bioinformatics analyses. We are looking for candidates with a PhD, excellent written and verbal communication skills, strong analytical abilities, exceptional attention to detail, and presentation ...

previous pagenext page

Showing results 21-40

All JobsBioinformatic Analyst JobsBioinformatic Analyst Jobs in Texas

Bioinformatic Analyst information

See Texas salary details

$28.9K

$68.3K

$121.1K

How much do bioinformatic analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for bioinformatic analyst in Texas is $68,254.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,900.00 and $81,100.00 per year, depending on experience, location, and employer.

What does a bioinformatic analyst do?

A Bioinformatic Analyst uses computational tools and techniques to analyze biological data, such as DNA, RNA, or protein sequences. They work closely with researchers and scientists to interpret complex datasets, identify patterns, and draw meaningful conclusions that can advance scientific understanding or medical research. Their responsibilities may include processing raw data, developing algorithms, and creating visualizations to present results. Bioinformatic Analysts often work in fields like genomics, pharmaceuticals, and biotechnology.

What are the key skills and qualifications needed to thrive as a bioinformatic analyst?

To thrive as a Bioinformatic Analyst, you need a strong background in biology, statistics, and computer science, often supported by a relevant degree such as bioinformatics, computational biology, or a related field. Proficiency in programming languages like Python or R, experience with next-generation sequencing (NGS) data analysis tools, and familiarity with databases such as GenBank are typically required. Critical thinking, attention to detail, and effective communication skills help analysts interpret complex data and collaborate with interdisciplinary teams. These skills are crucial for extracting meaningful insights from biological data and advancing research or clinical objectives.

What are some common challenges a bioinformatic analyst faces when working with large-scale genomic data?

One of the primary challenges for Bioinformatic Analysts is managing and analyzing massive datasets generated by next-generation sequencing technologies. Ensuring data quality, handling data storage, and optimizing computational resources are critical aspects of the role. Analysts must also develop or adapt pipelines to process complex data efficiently and accurately, often collaborating closely with biologists, statisticians, and IT specialists. Staying updated on rapidly evolving tools and best practices is essential to ensure high-quality, reproducible results.

Is bioinformatic analyst a stressful job?

Bioinformatic analysts often work in research or healthcare settings, analyzing large datasets and developing computational tools, which can involve tight deadlines and complex problem-solving. The level of stress varies depending on workload, project deadlines, and workplace environment, but the role generally requires strong attention to detail and technical skills. Managing workload and staying organized can help reduce stress in this position.

Is bioinformatics well paying?

Bioinformatic analysts typically earn competitive salaries that vary by experience, education, and location. In general, the field offers above-average pay compared to many other entry-level science roles, especially for those with advanced skills in programming, data analysis, and familiarity with tools like R or Python.

What are popular job titles related to Bioinformatic Analyst jobs in Texas?

For Bioinformatic Analyst jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Bioinformatic Analyst jobs in Texas look for?

The top searched job categories for Bioinformatic Analyst jobs in Texas are:

What cities in Texas are hiring for Bioinformatic Analyst jobs?

Cities in Texas with the most Bioinformatic Analyst job openings:

Bioinformatic Analyst jobs near you
Infographic showing various Bioinformatic Analyst job openings in Texas as of August 2026, with employment types broken down into 86% Full Time, 7% Part Time, 6% Contract, and 1% Nights. Highlights an 79% Physical, 8% Hybrid, and 13% Remote job distribution, with an average salary of $68,254 per year, or $32.8 per hour.

Sr Bioinformatics Software Engineer

Baylor Genetics

Houston, TX • On-site

Full-time

Re-posted yesterday

Baylor Genetics rating

8.4

Company rating: 8.4 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

30th of 120 rated laboratories

Job description

JOB SUMMARY
The Senior Bioinformatics (BI) Software Engineer holds a critical technical role, responsible for designing, developing, and maintaining scalable and efficient software solutions for Baylor Genetics' bioinformatic pipelines. This role involves collaborating with and supporting cross-functional teams to deliver data-driven software solutions aligning with business needs.
KEY RESPONSIBILITIES
  • BI Development:Design, develop, and maintain robust software solutions using various tools, databases, and technologies to meet business requirements.
  • Data Modeling:Create and optimize data models, ensuring the accuracy, integrity, and performance of the underling computational algorithms, especially as pertains to assembly, mapping, variant calling and variant annotation.
  • ETL Processes:Develop and optimize ETL (Extract, Transform, Load) processes to efficiently extract data from various sources, transform it, and load it into the BI system, with an emphasis on utilizing APIs
  • Query Optimization:Analyze and optimize SQL queries and database performance to enhance data retrieval and reporting speed. Contribute to schema design and review sessions to ensure high performance and maintainable databases.
  • Dashboard & Report Creation:Develop interactive dashboards and automated reports using BI tools (e.g., Azure Pipelines, Teams Power Automate, email, Nextflow) to provide actionable insights for stakeholders.
  • Collaboration:Work and align closely with stakeholders, including data analysts, business users, clinical reviewers, laboratory personnel and software developers, to scope their requirements and deliver timely integrations of new software.
  • Data Integration:Integrate disparate data sources and ensure consistency, accuracy, and reliability of data across the BI system, with a focus on devising systems that have minimal to no code debt and are highly maintainable and flexible.
  • Quality Assurance:Conduct rigorous testing of BI solutions to ensure data accuracy, system stability, and optimal performance, with the ability to automate testing suites using packages (e.g. pytest, doctest, Azure Pipelines)
  • Documentation & Maintenance:Create comprehensive documentation for developed solutions and provide support and maintenance as necessary. This generally includes: (1) detailed in-line commenting noting Jira ticket request numbers, genomic diagrams, reasoning and personal thoughts, TODO comments, docstrings, BG headers, etc.; (2) wikis and README files instructing users on how to install and implement the software along with trace mappings detailing how the software is generally organized.

QUALIFICATIONS
Required
  • Education:Bachelor's degree in Computer Science, Software Engineering, Bioinformatics or a related field; Master's degree preferred.
  • Experience:Minimum of 5 years of experience in software development, with a proven track record of designing and implementing scalable software solutions based on diverse user feature needs. Must have a proven track record of implementing production ready software solutions from scratch. Prior experience or domain knowledge from collaborating with laboratory scientists, computational biologists, or clinical reviewers is a nice-to-have.

COMPETENCIES
Technical Skills:
  • Deep knowledge and expertise in at least two programming languages (Python, Perl, R, or Bash, will also consider Java, C++, and Groovy).
  • Proficient in a range of database technologies, including SQL Server, NoSQL, MongoDB, MySQL, and ElasticSearch, demonstrating comprehensive skills in database management, optimization, and query development.
  • Proficiency in working in an Agile framework and implementing CI/CD practices using Git. Knowledge of Azure is a bonus.Implementation of object orientated programming (OOP) is second nature, which includes building intuitive classes relevant to the science, system, or service.
  • Standard software design practices relevant to that language is intuitive to you. Demonstrated ability to build entire software packages from scratch that are performant and highly maintainable, ensuring they are tested and are production ready. Solid understanding and habitual practice of unit and integration testing of software.
  • High regard for documentation and object/variable naming that is explicit, with the ability to relay or distill scientific concepts within supplemental documentation or inline code itself.
  • Proficiency in designing and building APIs and microservices from scratch.
  • Familiarity with Linux OS and HPC clusters (SLURM, Kubernetes, GCP, Azure, etc.) is a plus, but not essential.
  • Solid understanding of package management practices (PIP, Conda, etc.) and containerization (Docker, Singularity, etc.).
  • Proficiency or knowledge of workflow management or orchestration tools (Nextflow, Airflow, Snakemake, etc.) is a plus, but not essential.

Analytical Thinking: Strong analytical and problem-solving skills with the ability to translate complex business needs into technical solutions and work independently to solve problems. Also requires good communication skills and flexibility to reach out to stakeholders and SMEs as necessary
  • Team Collaboration:Excellent interpersonal and communication skills to collaborate effectively with multidisciplinary teams. Should be open and willing to receive and give criticism and feedback in a measured manner, focused on solving the problem at hand.
  • Adaptability:Ability to adapt to evolving technologies, learn new tools, and implement best practices in BI software engineering and development. Should be able to assess situations when a drop-in solution would be preferable to a custom software implementation and run proof-of-concepts as needed. Should be highly familiar with best practices in software development and an advocate of best practices, even under pressure.
  • Project Management:Experience in managing individual projects and adhering to timelines while delivering high-quality solutions, ensuring good communication in situations where project scopes may fluctuate
  • Performs other advanced job-related duties as assigned.

PHYSICAL DEMANDS AND WORK ENVIRONMENT
  • Frequently required to sit.
  • Frequently required to stand.
  • Frequently required to utilize hand and finger dexterity.
  • Frequently required to talk or hear.

EEO STATEMENT
Baylor Genetics is proud to be an equal opportunity employer dedicated to building an inclusive and diverse workforce. We do not discriminate based on race, religion, color, national origin, sex, sexual orientation, age, gender identity, veteran status, disability, genetic information, pregnancy, childbirth, or related medical conditions, or any other status protected under applicable federal, state, or local law.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

What Baylor Genetics employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply