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Bioinformatics Engineering Jobs in Katy, TX (NOW HIRING)

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 Engineering information

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$39.5K

$120.2K

$218.8K

How much do bioinformatics engineering jobs pay per year?

As of Aug 20, 2026, the average yearly pay for bioinformatics engineering in Katy, TX is $120,239.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,100.00 and $144,000.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a bioinformatics engineer?

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.

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.

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 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 cities near Katy, TX are hiring for Bioinformatics Engineering jobs?

Cities near Katy, TX with the most Bioinformatics Engineering job openings:

Infographic showing various Bioinformatics Engineering job openings in Katy, TX as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 100% In-person job distribution, with an average salary of $120,239 per year, or $57.8 per hour.

Sr Bioinformatics Software Engineer

Baylor Miraca Genetics Laboratories, LLC

Houston, TX โ€ข On-site

Other

This job post hasย expired today.ย Applications are no longer accepted.


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.