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Bioinformatic Jobs in Spring, TX (NOW HIRING)

Bioinformatics Scientist Role Type: Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role ...

Bioinformatics Scientist Role Type: Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role ...

Sr HPC Engineer

Houston, TX · On-site

$96K - $132K/yr

The ideal candidate combines strong systems engineering skills with bioinformatics domain knowledge and has proven experience managing petabyte-scale storage, workflow orchestration (e.g., Nextflow ...

Bioinformatics Scientist Role Type: Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role ...

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Bioinformatic information

See Spring, TX salary details

$48.5K

$85.6K

$123.7K

How much do bioinformatic jobs pay per year?

As of Aug 3, 2026, the average yearly pay for bioinformatic in Spring, TX is $85,580.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,100.00 and $97,400.00 per year, depending on experience, location, and employer.

Is AI going to replace bioinformatics?

Bioinformaticians use AI and machine learning tools to analyze biological data, but AI is a complement rather than a replacement for their expertise. Human oversight, domain knowledge, and interpretation remain essential in developing and applying bioinformatics solutions.

What do people with bioinformatics jobs do?

Bioinformaticians analyze biological data, such as genetic sequences and molecular structures, using computational tools and programming languages like Python or R. They develop algorithms, manage large datasets, and collaborate with biologists and healthcare professionals to interpret data and support research or clinical decisions.

What are the key skills and qualifications needed to thrive in the Bioinformatic position, and why are they important?

To thrive as a Bioinformatician, you need a strong background in biology, computer science, and statistics, often supported by a relevant degree such as bioinformatics, computational biology, or a related field. Familiarity with programming languages like Python, R, or Perl, experience using bioinformatics tools and databases, and knowledge of data visualization platforms are typically expected. Problem-solving, strong communication, and the ability to work collaboratively are valued soft skills in this position. These competencies are essential for efficiently analyzing complex biological datasets, deriving actionable insights, and contributing to multidisciplinary research teams.

What are the jobs in bioinformatics?

Jobs in bioinformatics include roles such as bioinformatics analyst, researcher, software developer, and data scientist. These positions involve analyzing biological data, developing algorithms, and using tools like R, Python, and specialized databases to support research and healthcare applications.

What is a Bioinformatic job?

A bioinformatics job involves using computational tools and techniques to analyze biological data, such as DNA sequences, protein structures, and gene expression patterns. Professionals in this field develop algorithms, manage large datasets, and apply statistical methods to extract meaningful insights from complex biological information. Bioinformaticians work in areas like genomics, drug discovery, personalized medicine, and agricultural research, often collaborating with biologists and data scientists.

What biology jobs pay over $100k?

Bioinformatics roles such as senior bioinformaticians, computational biologists, and data scientists often have salaries exceeding $100,000, especially with advanced skills in programming, statistical analysis, and experience in genomics or drug development. These positions are common in biotech, pharmaceutical, and research institutions and may require a master's or Ph.D. degree.

What are typical daily tasks and collaborative responsibilities for a Bioinformatician?

Bioinformaticians typically spend their days analyzing biological data, developing and optimizing algorithms, and interpreting results in collaboration with laboratory scientists and researchers. You may work on tasks such as processing large-scale sequencing data, maintaining databases, and creating custom scripts to support specific research projects. Regular meetings with biologists, data analysts, and software engineers are common to ensure seamless integration of experimental and computational tasks. The collaborative nature of the role means Bioinformaticians often contribute to publications, share findings with team members, and help troubleshoot complex data challenges.

What are popular job titles related to Bioinformatic jobs in Spring, TX? For Bioinformatic jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Bioinformatic jobs in Spring, TX look for? The top searched job categories for Bioinformatic jobs in Spring, TX are:
What cities near Spring, TX are hiring for Bioinformatic jobs? Cities near Spring, TX with the most Bioinformatic job openings:
Infographic showing various Bioinformatic job openings in Spring, TX as of July 2026, with employment types broken down into 95% Full Time, 4% Part Time, and 1% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $85,580 per year, or $41.1 per hour.

Senior Bioinformatics Software Engineer

Morpheus Group

Houston, TX

Full-time

Posted 4 days ago


Job description

We are seeking an experienced Senior/Staff-Level Bioinformatics Software Engineer to provide technical leadership in the design, development, and enhancement of advanced bioinformatics software solutions. This role combines software engineering, computational biology, and data science expertise to support genomic data analysis, next-generation sequencing (NGS) workflows, and the development of scalable analytical platforms.
Key Responsibilities
  • Architect and develop innovative bioinformatics applications, analytical tools, and data processing solutions.
  • Lead the creation and optimization of genomic analysis pipelines focused on sequence interpretation, variant detection, and complex biological data analysis.
  • Partner with scientists, researchers, and cross-functional stakeholders to design studies, analyze results, and translate biological requirements into software solutions.
  • Drive technical strategy and contribute to architectural decisions for current and future software platforms.
  • Improve development processes through automation, best practices, and modern engineering methodologies.
  • Mentor engineering team members and serve as a technical resource across projects. Desired Qualifications
  • Strong background in bioinformatics software development with expertise in NGS data analysis and genomic workflows.
  • Experience working with common bioinformatics formats and tools, including sequencing alignment, variant analysis, and quality control frameworks.
  • Advanced programming skills in Python, R, or similar languages used in scientific computing.
  • Proficiency with Linux environments, cloud computing platforms, and workflow orchestration tools.
  • Experience with software development best practices, source control, testing methodologies, and containerized environments.
  • Excellent communication, leadership, and collaboration skills with the ability to work effectively across scientific and technical teams.

Background
  • Bachelor's degree in Computer Science, Bioinformatics, Data Science, Statistics, Mathematics, or a related field required; advanced degrees preferred.
  • Approximately 7+ years of experience in software engineering, bioinformatics, computational biology, or a related discipline, including demonstrated technical leadership.

This opportunity is ideal for a bioinformatics professional who enjoys leading complex technical initiatives, building scalable genomics solutions, and working at the intersection of software engineering and life sciences