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Scientific Programmer Jobs in Houston, TX (NOW HIRING)

Master's degree or higher in Physics, Engineering, Mathematics, or Computer Science, or 5 years of hands-on experience in scientific programming * Fluency in C/C++ (Fortran also preferred)

Master's degree or higher in Physics, Engineering, Mathematics, or Computer Science, or 5 years of hands-on experience in scientific programming * Fluency in C/C++ (Fortran also preferred)

Master's degree or higher in Physics, Engineering, Mathematics, or Computer Science, or 5 years of hands-on experience in scientific programming* Fluency in C/C++ (Fortran also preferred)* Experience ...

Master's degree or higher in Physics, Engineering, Mathematics, or Computer Science, or 5 years of hands-on experience in scientific programming * Fluency in C/C++ (Fortran also preferred)

Senior AI Engineer - SFL Scientific

Houston, TX · On-site

$99K - $137K/yr

SFL Scientific, a Deloitte Business, is looking to add a Senior AI Engineer to their vibrant environment. SFL Scientific is part of our broader Strategy Offering within the Strategy & Transactions ...

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or related quantitative field; 3+ years of experience in Data Science, Machine Learning ...

Environmental Scientist/Engineer

Houston, TX · On-site

$71K - $94K/yr

Overview / Responsibilities Wood Environment & Infrastructure Solutions is seeking an Environmental Scientist/Engineer with 4-8 years of environmental experience to join Texas office (Austin location ...

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Scientific Programmer information

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$10

$38

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How much do scientific programmer jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for scientific programmer in Houston, TX is $38.07, according to ZipRecruiter salary data. Most workers in this role earn between $14.71 and $54.86 per hour, depending on experience, location, and employer.

What is a scientific programmer?

Scientific programmers are professionals who develop, implement, and optimize software solutions for scientific research and data analysis. They work closely with scientists and researchers to translate complex scientific problems into computational algorithms, scripts, and tools. Their work often involves programming in languages like Python, C++, or R, and may include tasks such as data processing, simulation, modeling, and visualization. Scientific programmers play a crucial role in advancing research by making scientific computations more efficient and reproducible.

What does a scientific programmer do?

The duties of a scientific programmer are to design a variety of tools for researchers to perform statistical and mathematical modeling on large datasets. They often work within a specific framework or software, and their responsibilities are to script tools that make it easier for scientists to use the programs or models. Their duties may include designing a new user interface or creating shell scripts for the UNIX or Linux operating systems. A scientific programmer also conducts code review and quality assurance tasks to ensure that programs are ready to be used. Qualifications include a bachelor’s degree in computer science, bioinformatics, or computational biology. If you want to specialize in a particular discipline, you may need additional experience or advanced qualifications.

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

To thrive as a Scientific Programmer, you need a solid background in computer science, mathematics, or a related field, along with strong programming skills in languages like Python, C++, or R. Familiarity with scientific computing libraries (such as NumPy, SciPy), data analysis tools, and version control systems like Git is typically required, and experience with high-performance computing or parallel processing is a plus. Strong problem-solving abilities, attention to detail, and effective communication are key soft skills that distinguish top performers in this role. These skills and qualities are crucial for developing reliable, efficient code to support complex scientific research and for collaborating effectively within multidisciplinary teams.

How does a scientific programmer typically collaborate with researchers and other technical staff on projects?

Scientific Programmers often work closely with research scientists, data analysts, and IT teams to develop and optimize software tools for scientific studies. They participate in project meetings to understand research goals, translate scientific requirements into code, and troubleshoot issues that arise in computational workflows. Effective communication and teamwork are essential, as Scientific Programmers must ensure their solutions align with both technical standards and the scientific objectives of the research team.

What is the difference between Scientific Programmer vs Data Analyst?

AspectScientific ProgrammerData Analyst
Required CredentialsBachelor's or higher in Computer Science, Physics, or related fields; programming skillsBachelor's or higher in Statistics, Data Science, or related fields; analytical skills
Work EnvironmentResearch labs, scientific institutions, academia, industry R&DBusiness, finance, healthcare, marketing sectors
Employer & Industry UsageResearch organizations, universities, scientific companiesCorporations, consulting firms, government agencies
Common Search & Comparison IntentUnderstanding technical roles in scientific computingAnalyzing data to inform decisions

Scientific Programmers focus on developing software and algorithms for scientific research, often working with complex simulations and data modeling. Data Analysts interpret data sets to generate insights and support decision-making. While both roles require strong programming skills and analytical thinking, Scientific Programmers are more involved in software development for scientific purposes, whereas Data Analysts focus on data interpretation and reporting.

Is programming a well paid job?

Programming jobs, including roles like scientific programmers, tend to offer competitive salaries that vary based on experience, education, and location. Skilled programmers with expertise in specific tools or languages often earn higher wages, especially in industries like technology, finance, and research. Overall, programming can be a well-paid career compared to many other fields.

What are popular job titles related to Scientific Programmer jobs in Houston, TX?

For Scientific Programmer jobs in Houston, TX, the most frequently searched job titles are:

Infographic showing various Scientific Programmer job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $79,185 per year, or $38.1 per hour.

Senior Scientific Programmer

Baylor College of Medicine

Houston, TX • On-site

$60 - $80/hr

Other

Posted 11 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

191st of 631 rated colleges and universities


Job description

Division: Molecular Virology and Microbiology


Work Arrangement: Remote within Texas


Location: Houston, TX


Salary Range: $70,618 - $83,080


FLSA Status: Exempt


Work Schedule: Monday – Friday, 8 a.m. – 5 p.m.


Summary

The Alkek Center for Metagenomics and Microbiome Research Center (CMMR) is an integral part of the Baylor College of Medicine strategic plan and serves as a hub for translational microbiome and virome research by: 1) providing sequencing, informatics, and microbiological expertise and resources to drive and support clinical and basic research microbial genomics studies, 2) providing the infrastructure and critical mass of expertise to explore host-microbe interactions, 3) driving technology and analytical development to improve metagenomic capabilities for characterizing bacterial, viral, and fungal communities, and 4) translating new discoveries into the realm of personalized medicine where new therapeutics and diagnostics may be implemented. Over the past 10 years, we’ve collaborated on more than 1000 projects with over 300 research groups from around the world.


The CMMR is seeking a highly motivated Senior Scientific Programmer for the Metagenomics and Microbiome Research Center to develop and apply computational approaches supporting microbiome and viral genomics research. This individual will develop scalable bioinformatics workflows, analyze high-throughput sequencing datasets, and collaborate with investigators and research staff to support translational microbiome and virome studies. The successful candidate will combine expertise in bioinformatics, software development, and scientific computing to support innovative research projects, core service activities, and method development initiatives.


Job Duties

Collaboration and Technical Contributions



  • Collaborates with CMMR laboratory, informatics, and research teams to support project execution, core operations, and software development initiatives.

  • Contributes to best practices in bioinformatics tool development, reproducible research, scientific computing, data management, and collaborative code development.

  • Under limited supervision, works closely with investigators and researchers to understand project goals and develop computational solutions to address scientific questions.

  • Documents analytical workflows and provide guidance to researchers on the use of computational tools and resources.


Bioinformatics and Software Development



  • Develops, maintains, and optimizes automated bioinformatics pipelines for processing and analyzing high-throughput sequencing data.

  • Develops, tests, and maintains bioinformatics software tools, databases, and analytical applications supporting genomics, microbiome, and virome research.

  • Collaborate with research staff to evaluate, develop, and implement new computational methods, workflows, and analytical approaches.

  • Develops interactive applications, dashboards, and data exploration tools using technologies such as R Shiny and related frameworks.

  • Applies programming expertise in Python, R, Bash, and workflow management systems such as Snakemake or Nextflow.

  • Performs genome assembly, annotation, comparative genomics, metagenomics, and related analyses supporting microbiome and virome research.


Computational Infrastructure and Data Management



  • Utilizes and support high-performance computing (HPC) environments, including software deployment, pipeline configuration, troubleshooting, and data transfer processes.

  • Develops and maintain database-driven research applications and data management systems supporting laboratory operations, core services, and collaborative research projects.

  • Curates, manage, and analyze large-scale biological datasets while ensuring data integrity, accessibility, reproducibility, and long-term sustainability.

  • Contributes to the implementation and maintenance of computational workflows and software environments using modern development and deployment practices.


Research and Scientific Contributions



  • Collaborates with multidisciplinary research teams on genomics, metagenomics, microbiome, and virome research initiatives.

  • Contributes computational and analytical expertise to grant proposals, research planning, and new project development.

  • Contributes to scientific manuscripts, presentations, software documentation, technical reports, and user documentation for computational tools and research systems.

  • Stays informed of emerging bioinformatics methods, technologies, and best practices relevant to microbial genomics research.


Minimum Qualifications

  • Bachelor's degree in Management Information Systems, Computer Science, or a related field. Four years of related experience may substitute for degree requirement.

  • Three years of relevant experience.


Preferred Qualifications

  • Ph.D. in Bioinformatics, Computational Biology, Computer Science, Biology, or a related discipline.

  • Familiarity with cloud computing platforms or Trusted Research Environments (AWS, Azure, or Google Cloud).

  • Experience managing large biological datasets and databases, including proficiency with relational databases such as SQL.

  • Experience with Amazon DynamoDB or equivalent NoSQL database technologies.

  • Demonstrated contributions to peer-reviewed publications, software projects, or grant applications.

  • Experience developing web-based scientific applications, interactive data visualization tools, or researcher-facing analytical resources.


Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.


Baylor College of Medicine fosters diversity among its students, trainees, faculty, and staff as a prerequisite to accomplishing our institutional mission and setting standards for excellence in training healthcare providers and biomedical scientists, promoting scientific innovation, and providing patient-centered care. Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.

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