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Bioinformatics Scientist Jobs in Texas (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 ...

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 ...

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 ...

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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Bioinformatics Scientist information

See Texas salary details

$35

$51

$69

How much do bioinformatics scientist jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for bioinformatics scientist in Texas is $51.05, according to ZipRecruiter salary data. Most workers in this role earn between $41.88 and $58.22 per hour, depending on experience, location, and employer.

What is a bioinformatics scientist?

A Bioinformatics Scientist is a professional who uses computational tools and techniques to analyze and interpret biological data, such as DNA, RNA, and protein sequences. They combine expertise in biology, computer science, mathematics, and statistics to solve complex problems in genomics, drug discovery, and other life sciences fields. Bioinformatics Scientists often work with large datasets, develop algorithms, and create databases to help researchers understand biological processes and make scientific discoveries.

How do bioinformatics scientists typically collaborate with biologists and other researchers on multidisciplinary projects?

Bioinformatics Scientists often work closely with biologists, chemists, and data analysts to interpret complex biological data. Collaboration usually involves translating biological questions into computational problems, developing or applying algorithms, and communicating findings in a way that is accessible to non-technical team members. Effective teamwork requires strong communication skills and the ability to bridge the gap between experimental data and computational analysis, ensuring that research goals are aligned across disciplines.

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

To thrive as a Bioinformatics Scientist, you need a strong background in biology, statistics, and computer science, typically supported by an advanced degree in bioinformatics or a related field. Proficiency with programming languages (such as Python, R, or Perl), bioinformatics databases, and data analysis platforms like BLAST or Galaxy is essential. Critical thinking, problem-solving, and clear communication are vital soft skills for interpreting complex data and collaborating with multidisciplinary teams. These skills and qualities are crucial for extracting meaningful insights from large biological datasets and advancing scientific research.

What is the difference between Bioinformatics Scientist vs Bioinformatics Analyst?

AspectBioinformatics ScientistBioinformatics Analyst
Required CredentialsTypically requires a Master's or Ph.D. in Bioinformatics, Computational Biology, or related fieldsUsually holds a Bachelor's or Master's degree in Bioinformatics, Biology, or related areas
Work EnvironmentResearch labs, biotech companies, academic institutions, often involved in developing new algorithms and toolsData analysis in clinical or research settings, interpreting existing data sets
Employer & Industry UsageUsed in biotech, pharma, academia for research and developmentCommon in healthcare, clinical research, and biotech for data interpretation

In summary, Bioinformatics Scientists typically hold advanced degrees and focus on developing new computational methods, while Bioinformatics Analysts often have a more applied role, interpreting data to support research or clinical decisions.

Is bioinformatics well paying?

Bioinformatics scientists typically earn competitive salaries due to their specialized skills in computational biology, data analysis, and programming. Salaries vary by experience, location, and industry, but the field generally offers above-average compensation compared to many other scientific roles.

What do you do as a bioinformatics scientist?

A bioinformatics scientist analyzes biological data, such as genetic sequences and molecular structures, using computational tools and algorithms. They develop and apply software to interpret complex biological information, often working with large datasets and programming languages like Python or R in research or healthcare settings.

What are the most commonly searched types of Bioinformatics Scientist jobs in Texas?

The most popular types of Bioinformatics Scientist jobs in Texas are:

What cities in Texas are hiring for Bioinformatics Scientist jobs?

Cities in Texas with the most Bioinformatics Scientist job openings:

Infographic showing various Bioinformatics Scientist job openings in Texas as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $106,177 per year, or $51 per hour.

Research Scientist, Bioinformatics & Computational Genomics

United Phosphorus Limited (UPL)

College Station, TX โ€ข On-site

$80 - $100/hr

Other

Posted 3 days ago

New


Job description

Research Scientist, Bioinformatics & Computational Genomics

Job Id: 11847

City: College Station, Texas, United States

Department: R&D

Function: Research and Development

Employee Type: Permanent Full Time

Seniority Level: Mid-Senior level

Advanta is a global seed business adapting to rapidly increasing food insecurity and climate change by providing farmers with innovation and new technologies. As part of UPL Group, Advanta aims to deliver high quality seeds with excellent agronomic practices and crop protection solutions. Advanta operates in over 80 countries under global brands of Advanta, Alta and Pacific Seeds. Advanta holds a leadership position in tropical and subโ€‘tropical geographies in corn, grain and forage sorghum, sunflower, canola, rice, and a variety of vegetables. With over 60 years' experience in plant genetics, Advanta provides seeds technology that ensures crop performance and farmers prosperity.

We are seeking a motivated and detailโ€‘oriented individual to join our dynamic, fastโ€‘growing, and diverse team in a highโ€‘throughput genotyping and molecular laboratory. This role supports the crop breeding program at Advanta Seeds and is ideal for recent PhD graduates who enjoy working at the lab bench, including designing, troubleshooting, and improving assays using KASP and TaqMan technologies, while also applying bioinformatics to support marker design and validation at scale. The successful candidate will begin with a strong wetโ€‘lab focus and will gradually expand their responsibilities into bioinformatics and computational analysis.

Key Responsibilities
  • Develop and support computational pipelines for genomic data processing and analysis.
  • Perform sequence analysis, read processing, and variant discovery from nextโ€‘generation sequencing datasets.
  • Generate highโ€‘quality variant datasets, including VCF files, for downstream research and breeding applications.
  • Perform genome assembly analyses (including scaffoldโ€‘level assembly where applicable) and compare assemblies and genomic regions across multiple reference genomes.
  • Identify SNPs and other sequence variants relevant to research and breeding objectives.
  • Ability to design primers informed by comparative genomic analysis across multiple reference genomes.
  • Support difficult markerโ€‘related problems by providing sequenceโ€‘based analysis and computational interpretation.
  • Retrieve, organize, and analyze genomic and associated metadata from relational databases, including SQLโ€‘based systems.
  • Write scripts and automated workflows in Python, R, bash, or similar languages to streamline analysis and reporting.
  • Document methods, results, and workflows clearly and reproducibly, and present findings to internal teams.
  • Work independently on assigned analyses while coordinating with the manager and relevant collaborators as needed.
  • Support projects across multiple crops, with the ability to perform analysis across species.
Required Qualifications
  • PhD in Bioinformatics, Computational Biology, Genomics, Genetics, Plant Biology, or a closely related field.
  • Strong computational genomics background with handsโ€‘on experience in several of the following areas: variant calling, genome assembly.
  • Strong programming skills, with the ability to independently develop and troubleshoot scripts and workflows in a Linux environment.
  • Proficiency in Python and at least one additional analysis language or environment such as R or bash.
  • Experience working in Linuxโ€‘based computational environments.
  • Experience generating, processing, and interpreting sequenceโ€‘based outputs such as assemblies, alignments, and VCF files.
  • Experience comparing genomic data across multiple references, assemblies, or sequence datasets.
  • Working knowledge of molecular biology sufficient to support marker and primer design decisions, even if the role is not benchโ€‘based.
  • Familiarity with relational databases and the ability to retrieve and manipulate data using SQL.
  • Strong organizational skills, scientific judgment, and the ability to manage multiple tasks with limited supervision.
  • Strong written and verbal communication skills and the ability to document analyses clearly.
  • Cultural sensitivity and ability to work effectively in a diverse team environment.
  • Must be legally authorized to work in the United States. Advanta does not offer employment sponsorship for this position.
Preferred Qualifications
  • Experience in plant genomics, crop genetics, or computational support of breeding programs.
  • Experience analyzing data from multiple crop species or transferring analysis strategies across species.
  • Experience with comparative genomics across diverse germplasm or multiple reference genomes.
  • Experience building reproducible workflows for routine genomic analysis.
  • Experience supporting molecular marker development through computational sequence analysis.
  • Ability to grow into an increasingly independent role and take ownership of technically demanding analyses.
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