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Computational Software Developer Jobs in Houston, TX

Varsity Tutors

Computer Programming Tutor

Sugar Land, TX · Remote

$18 - $40/hr

Ability to explain computational thinking, abstraction, iteration, recursion, and software development life cycle while preparing students for computer science coursework and software engineering ...

Varsity Tutors

Computer Programming Tutor

Pearland, TX · Remote

$18 - $40/hr

Ability to explain computational thinking, abstraction, iteration, recursion, and software development life cycle while preparing students for computer science coursework and software engineering ...

Varsity Tutors

Computer Programming Tutor

Houston, TX · Remote

$18 - $40/hr

Ability to explain computational thinking, abstraction, iteration, recursion, and software development life cycle while preparing students for computer science coursework and software engineering ...

MICROVAST INC

BMS Algorithm Engineer

Houston, TX · On-site

Work closely with software engineers and data scientists/engineers to integrate safety algorithms into battery and battery management systems. * Analyze and optimize the computational efficiency of ...

Western Midstream

Leak Detection Engineer

The Woodlands, TX · On-site

$77K - $98K/yr

Proficiency with leak detection software, Computational Pipeline Monitoring (CPM), real-time ... Provide engineering expertise and project leadership for the design, installation, configuration ...

HGA

Leak Detection Engineer

Houston, TX · On-site

... Computational Pipeline Monitoring) performance evaluations and recommend improvements. • ... software (e.g., DNV Synergi SPS, AVEVA LMS, Atmos Pipe, or Atmos Rupture) required. • Excellent ...

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Computational Software Developer information

See Houston, TX salary details

$45.8K

$106.8K

$158.5K

How much do computational software developer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for computational software developer in Houston, TX is $106,809.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,900.00 and $124,100.00 per year, depending on experience, location, and employer.

What is a computational software developer?

A Computational Software Developer is a professional who designs, develops, and maintains software systems that perform complex mathematical, scientific, or engineering computations. They often work in fields such as scientific research, engineering, finance, and data analysis, creating tools that simulate processes, analyze data, or solve computational problems. These developers typically possess strong programming skills in languages like Python, C++, or MATLAB, and have a solid understanding of algorithms, mathematics, and domain-specific knowledge relevant to their projects.

What are the key skills and qualifications needed to thrive as a computational software developer, and why are they important?

To thrive as a Computational Software Developer, you need strong programming skills (often in languages like Python, C++, or Java), a solid understanding of algorithms, and typically a degree in computer science, mathematics, or a related field. Familiarity with computational libraries (such as NumPy, SciPy, or TensorFlow), version control systems like Git, and experience with high-performance or parallel computing are commonly required. Analytical thinking, problem-solving abilities, and effective teamwork are vital soft skills for excelling in this role. These skills and qualities enable developers to create robust, efficient computational solutions and collaborate effectively within multidisciplinary teams.

What are some common challenges faced by computational software developers, and how can they be addressed?

Computational Software Developers often encounter challenges such as optimizing code for high-performance computing, ensuring numerical accuracy, and integrating complex algorithms with existing systems. These challenges can be addressed by staying up-to-date with the latest computational techniques, collaborating closely with domain experts, and utilizing profiling tools to identify performance bottlenecks. Regular code reviews and testing are also essential to maintain reliability and foster knowledge sharing within multidisciplinary teams.
What are popular job titles related to Computational Software Developer jobs in Houston, TX? For Computational Software Developer jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Computational Software Developer jobs in Houston, TX look for? The top searched job categories for Computational Software Developer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Computational Software Developer jobs? Cities near Houston, TX with the most Computational Software Developer job openings:
Computational Software Developer jobs near you
Infographic showing various Computational Software Developer job openings in Houston, TX as of July 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $106,809 per year, or $51.4 per hour.

Computer Programmer II (Biochemistry & Molecular Biology - Galveston)

UTMB Health

Galveston, TX • On-site

Full-time

Re-posted 17 days ago

UTMB Health rating

7.3

Company rating: 7.3 out of 10

Based on 168 frontline employees who took The Breakroom Quiz

267th of 887 rated healthcare providers

Job description

Minimum Qualifications:
Associate's degree or equivalent in related field and one-year related experience.
PREFERRED QUALIFICATIONS:
  • Master's degree in bioinformatics, computational biology, computer science, genomics, physics, or a related field (or equivalent practical experience)
  • Strong programming skills
  • Background in machine learning or statistical modeling (e.g., clustering, representation learning, deep learning)
  • Experience with large language models (LLMs), including retrieval-augmented generation, prompt engineering, agentic workflows, or fine-tuning
  • Familiarity with Linux/HPC environments and version control (e.g., Git)
  • Experience working with NGS data and large biological datasets
  • Experience with tools for comparative genomics across multiple species (alignment software, comparative browser, etc.)
  • Experience working with genome assemblies, liftover, or cross-species alignment
  • Familiarity with visualization of large genomic datasets (2D contact maps, embeddings, interactive browsers)
  • Experience integrating structured scientific datasets, scientific literature, or experimental metadata into computational workflows

Job Summary:
To provide technical skills in the preparation and use of programs for the solution of problems by electronic computers.
Job Duties and Responsibilities
Core duties:
  • Develops new programs.
  • Verifies solutions.
  • Prepares description of program, flow charts, and block diagrams.
  • Prepares program documentation and operating instructions for new programs.
  • Modifies existing programs.
  • Adheres to internal controls established for departments.
  • Performs related duties as required.

Project responsibilities will include:
1. System design. Develop architectures for AI systems that integrate biological datasets, scientific literature, experimental metadata, and large-language-model capabilities. These systems may include retrieval-augmented generation, agentic workflows, structured reasoning pipelines, or domain-specific interfaces for biological research.
2. Biological data integration. Identify, organize, and prepare relevant biological data sources for use in AI workflows. These may include genomic, epigenomic, proteomic, imaging, structural biology, or literature-derived datasets, depending on project needs.
3. LLM-based workflow development. Design and implement LLM-powered tools for scientific question answering, hypothesis generation, literature analysis, experimental planning, data interpretation, and automated report generation. The candidate will evaluate model outputs for scientific accuracy, traceability, and usability.
4. Prototype implementation. Build working prototypes, scripts, notebooks, APIs, or lightweight applications demonstrating the proposed AI systems. Prototypes should be sufficiently documented to enable the project team to review, test, and further develop them.
5. Evaluation and validation. Develop practical evaluation criteria for biological and scientific AI systems, including accuracy, reproducibility, citation grounding, failure modes, hallucination risk, and usefulness to researchers. The candidate will test systems on representative biological use cases and summarize results.
6. Documentation and recommendations. Prepare clear technical documentation that describes the system architecture, data inputs, model choices, workflows, limitations, and recommended next steps. Documentation should be suitable for internal scientific and technical review.
7. Collaboration. Meet periodically with project leadership and relevant scientific or computational collaborators to review progress, refine priorities, and incorporate feedback.
Deliverables
The candidate will provide one or more of the following, as requested by the project team:
  • Technical design documents for AI systems spanning biology and LLMs.
  • Prototype software, notebooks, scripts, or application components.
  • Curated or structured biological data inputs for AI workflows.
  • Evaluation reports describing system performance, limitations, and risks.
  • Written recommendations for future development, deployment, or publication.
  • Periodic progress summaries.

Expected Outcome
The work is expected to produce practical designs and early-stage prototypes for AI systems that support biological research with large language models, with an emphasis on scientific rigor, interpretability, reliable grounding in source material, and usability for researchers
DEPARTMENT MARKETING STATEMENT:
We are seeking a highly motivated programmer to support computational analysis of Hi-C and other sequencing datasets, with a particular focus on comparative genome organization across multiple species under the umbrella of the DNA Zoo Consortium (dnazoo.org). This role is ideal for someone who enjoys working at the intersection of genomics, chromatin architecture (1D and 3D), and data science, and who wants hands-on involvement in large, cross-species projects.
In addition, this role offers the opportunity to help shape AI systems that bring large language models to biological research, building tools that combine curated scientific data with modern LLM-based reasoning and retrieval to accelerate discovery.
Salary Range:
Actual salary commensurate with experience or range, if discussed and approved by hiring authority.
EQUAL EMPLOYMENT OPPORTUNITY:
UTMB Health strives to provide equal opportunity employment without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, genetic information, disability, veteran status, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. As a Federal Contractor, UTMB Health takes affirmative action to hire and advance protected veterans and individuals with disabilities.

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