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Bioinformatics Programmer Analyst Jobs in Tomball, TX

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

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Bioinformatics Programmer Analyst information

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$19

$44

$64

How much do bioinformatics programmer analyst jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for bioinformatics programmer analyst in Tomball, TX is $44.00, according to ZipRecruiter salary data. Most workers in this role earn between $34.13 and $53.46 per hour, depending on experience, location, and employer.

What is a bioinformatics programmer analyst?

A Bioinformatics Programmer Analyst is a professional who combines knowledge of biology, computer science, and statistics to manage, analyze, and interpret complex biological data, often using programming and software development skills. They typically work with large datasets such as genomic sequences, gene expression profiles, or proteomics data to derive meaningful insights for research or clinical applications. Their role often involves developing software tools, writing scripts for data analysis, and collaborating with biologists and other scientists to solve research problems. Bioinformatics Programmer Analysts are essential in fields like genomics, pharmaceutical research, and personalized medicine.

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

To thrive as a Bioinformatics Programmer Analyst, you need strong programming skills (such as Python, R, or Perl), a background in biology or bioinformatics, and typically a bachelor's or master's degree in a relevant field. Familiarity with bioinformatics tools, databases (like NCBI, Ensembl), and experience using Linux environments and version control systems (like Git) are essential. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and collaborating with research teams. These competencies are vital for accurately analyzing biological data and delivering actionable insights in research or clinical settings.

What are some common challenges faced by bioinformatics programmer analysts when integrating new data types into existing pipelines?

Bioinformatics Programmer Analysts often encounter challenges such as data heterogeneity, inconsistent formats, and varying quality when integrating new data types into established analysis pipelines. Addressing these issues requires careful data preprocessing, validation, and sometimes developing custom scripts or modules to ensure compatibility. Collaboration with biologists and data scientists is essential to understand the context of the new data and to tailor solutions that maintain the reliability and reproducibility of results. Staying adaptable and up-to-date with evolving bioinformatics tools and standards also helps in overcoming these integration challenges.

What is the difference between Bioinformatics Programmer Analyst vs Bioinformatics Data Scientist?

AspectBioinformatics Programmer AnalystBioinformatics Data Scientist
Required CredentialsBachelor's in Bioinformatics, Computer Science, or related field; programming skillsBachelor's or Master's in Bioinformatics, Data Science, or related; strong statistical and programming skills
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch institutions, biotech firms, healthcare analytics
Employer & Industry UsageUsed in biotech, pharma, healthcare for data analysis and software development

The Bioinformatics Programmer Analyst primarily focuses on developing software tools and analyzing biological data using programming skills. In contrast, the Bioinformatics Data Scientist emphasizes statistical analysis and data modeling to interpret complex biological datasets. Both roles require strong programming knowledge and are common in biotech and healthcare industries, but their core responsibilities differ in software development versus data analysis.

What are popular job titles related to Bioinformatics Programmer Analyst jobs in Tomball, TX?

For Bioinformatics Programmer Analyst jobs in Tomball, TX, the most frequently searched job titles are:

What cities near Tomball, TX are hiring for Bioinformatics Programmer Analyst jobs?

Cities near Tomball, TX with the most Bioinformatics Programmer Analyst job openings:

Infographic showing various Bioinformatics Programmer Analyst job openings in Tomball, TX as of June 2026, with employment types broken down into 68% Full Time, 16% Part Time, and 16% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $91,527 per year, or $44 per hour.

Sr Bioinformatics Software Engineer

Baylor Miraca Genetics Laboratories, LLC

Houston, TX โ€ข On-site

Other

Posted 15 days ago


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, Google Cloud Platform, 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.