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Sequence Jobs in Texas (NOW HIRING)

Stellent IT LLC

LABVIEW Programmer

Dallas, TX · On-site

Develop the sequences in TestStand using SRS and integrating the LabVIEW code. Perform tests on working units to validate the LabVIEW code and TestStand sequences developed. Generate test reports.

KRISTEN DISTRIBUTING CO

Delivery Prep Associate

Bryan, TX · On-site

$17 - $20/hr

Load Sequencing: Organize wrapped pallets in delivery sequence by route and stop number to support efficient driver offload * Trailer Loading: Load orders onto trailers in proper sequence while ...

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Sequence information

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How much do sequence jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for sequence in Texas is $20.71, according to ZipRecruiter salary data. Most workers in this role earn between $17.02 and $25.96 per hour, depending on experience, location, and employer.

What is a sequence?

Sequence jobs typically refer to roles that involve managing or analyzing ordered sets of data or processes, often in fields like bioinformatics, logistics, or manufacturing. In bioinformatics, for example, sequence jobs may involve DNA or protein sequence analysis. In manufacturing, sequence jobs could relate to the order of operations on a production line. These jobs require attention to detail, problem-solving skills, and often familiarity with specific software or analytical methods. The exact responsibilities can vary depending on the industry and organization.

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

To thrive as a Sequencer, you need strong organizational skills, attention to detail, and experience in coordinating production or logistics workflows, often supported by relevant industry education or training. Familiarity with scheduling software, ERP systems, and inventory management tools is typically required. Effective communication, problem-solving, and adaptability are crucial soft skills for managing dynamic schedules and collaborating with various departments. These competencies ensure efficient workflow, minimize production delays, and enhance overall operational effectiveness.

What are some common challenges faced by professionals working in sequence analysis roles, and how can they be addressed?

Professionals in sequence analysis roles, such as bioinformatics analysts or genomics researchers, often face challenges related to handling large datasets, ensuring data quality, and interpreting complex results. Managing computational resources efficiently and staying updated with rapidly evolving analysis tools can also be demanding. To address these challenges, it's important to develop strong programming skills, collaborate closely with multidisciplinary teams, and participate in ongoing training to keep pace with new technologies and best practices.

What is the difference between Sequence vs Data Analyst?

AspectSequenceData Analyst
Required CredentialsTypically a degree in computer science, engineering, or related fieldsUsually a degree in statistics, mathematics, or related disciplines
Work EnvironmentTech companies, software development teams, data processing firmsBusiness, finance, healthcare, and marketing sectors
Industry UsageUsed in software development, automation, and data processing pipelinesUsed in data interpretation, reporting, and decision-making

While both Sequence and Data Analyst roles involve working with data, Sequence typically refers to a process or step in data pipelines, whereas Data Analyst focuses on interpreting data to inform business decisions. Understanding these differences helps in choosing the right career path or job search focus.

What cities in Texas are hiring for Sequence jobs?

Cities in Texas with the most Sequence job openings:

Sequence jobs near you
Infographic showing various Sequence job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $43,075 per year, or $20.7 per hour.

Postdoctoral Fellow in Ancient DNA and Molecular Genomics

The University of Texas at Austin

Austin, TX • On-site

$48K - $65K/yr

Full-time

Re-posted 17 days ago

University Of Texas at Austin rating

8.3

Company rating: 8.3 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

126th of 618 rated colleges and universities

Job description

Description
Oden Institute for Computational Engineering and Sciences
Department of Integrative Biology
The University of Texas at Austin
The Laboratory of Dr. Vagheesh Narasimhan at The University of Texas at Austin is seeking an outstanding postdoctoral researcher to establish and lead molecular laboratory efforts supporting ancient DNA research. The successful candidate will play a central role in developing laboratory workflows for the recovery, preparation, and sequencing of DNA from archaeological and historical specimens while collaborating closely with computational researchers working in population genetics, genomics, and evolutionary biology. The postdoc will join a team of scientists at the University of Texas and will work in close collaboration with the labs of Dr. Ainash Childabayeva and Dr. Melissa Kemp and computational members at the Oden Institute of Computational Engineering and Sciences.
This position offers a unique opportunity to build an emerging ancient DNA program within a highly collaborative research environment that combines expertise in genomics, computational biology, and evolutionary genetics.
Research Responsibilities
The successful candidate will:
  • Develop and optimize ancient DNA extraction protocols from skeletal and archaeological material.
  • Establish clean laboratory workflows for handling highly degraded DNA while minimizing contamination.
  • Prepare sequencing libraries for Illumina and related next-generation sequencing platforms.
  • Perform DNA quantification, quality assessment, and library quality control.
  • Develop targeted enrichment approaches where appropriate.
  • Work closely with computational researchers to ensure high-quality molecular data generation.
  • Train graduate students and laboratory personnel in molecular techniques and clean-room practices.
  • Assist with laboratory management, protocol development, and maintenance of quality assurance procedures.
  • Contribute to manuscripts, grant applications, and collaborative research projects.

Research Environment
Our laboratory develops and applies cutting-edge genomic approaches to understand evolution, adaptation, and human biology. We combine large-scale genomic datasets with modern computational methods to answer fundamental questions in genetics and evolutionary biology. The successful candidate will help establish molecular capabilities that expand these efforts into ancient genomics, working alongside collaborators across evolutionary biology, anthropology, computational genomics, and biomedical research.
Salary and Benefits
Salary will be competitive and commensurate with experience, with full benefits provided through The University of Texas at Austin.
Contact Information
For inquiries about the position, please contact vagheesh@utexas.edu.
For application questions, please contact Ruth Park at ruth.park@oden.utexas.edu.
Qualifications
Required Qualifications
  • Ph.D. in Molecular Biology, Genetics, Genomics, Evolutionary Biology, Anthropology, or a related discipline.
  • Demonstrated expertise in molecular biology techniques including DNA extraction, PCR, library preparation, and next-generation sequencing.
  • Experience working with degraded or low-input DNA samples.
  • Strong organizational skills and careful attention to contamination control.
  • Excellent written and verbal communication skills.
  • Ability to work both independently and collaboratively within an interdisciplinary research group.

Preferred Qualifications
Experience in one or more of the following areas is particularly desirable:
  • Ancient DNA laboratory methods.
  • Museum, archaeological, or paleogenomic specimens.
  • Clean-room laboratory practices.
  • Hybridization capture or targeted enrichment.
  • Long-read or short-read sequencing technologies.
  • Bioinformatics analysis of sequencing data.
  • Population genetics or evolutionary genomics.

Applicants with extensive experience in highly degraded DNA (for example forensic, environmental, museum, or clinical samples) are strongly encouraged to apply, even if they have not previously worked on ancient DNA.
Application Instructions
Application Instructions
Applicants should submit:
  • Curriculum vitae.
  • Cover letter describing research interests and relevant experience.
  • Contact information for three references.
  • Representative publications or preprints.

Review of applications will begin immediately and continue until the position is filled.
A security sensitive background check will be conducted on the applicant selected.

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