1

Protein Engineering Jobs in Texas (NOW HIRING)

Integrate protein intake, recovery, and neuromuscular programming guidance with the clinical nutrition team to support hypertrophy, fat mass reduction, and functional independence across the lifespan.

Process Engineer

Eldorado, TX · On-site

$120K/yr

S. in Process, Chemical, Mechanical, or Bioprocess Engineering (or related discipline). * 3-7 years of hands-on experience in food, biotech, or ingredient manufacturing; preferably in protein or ...

Showing results 41-60

Protein Engineering information

See Texas salary details

$30.3K

$58.7K

$89K

How much do protein engineering jobs pay per year?

As of Aug 17, 2026, the average yearly pay for protein engineering in Texas is $58,673.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,800.00 and $67,100.00 per year, depending on experience, location, and employer.

What is protein engineering?

A Protein Engineering job involves designing, modifying, and optimizing proteins for specific applications in medicine, biotechnology, and industry. Scientists in this field use computational modeling, directed evolution, and genetic engineering to enhance protein functions. Roles may include developing enzymes for drug production, improving therapeutic proteins, or creating biomaterials. This work often requires expertise in molecular biology, biochemistry, and structural biology.

What are the typical daily responsibilities of someone working in protein engineering?

A typical day in Protein Engineering involves designing and conducting experiments to modify protein sequences, expressing and purifying proteins, and analyzing their structure or function using techniques like chromatography and spectroscopy. You will often document your results, troubleshoot unexpected findings, and present data to colleagues or project teams. Collaboration with scientists in molecular biology, bioinformatics, and structural biology is common to ensure robust experimental design and data interpretation. The role may also include literature reviews to stay updated with the latest research and participating in team meetings to plan next steps or project timelines.

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

To thrive in Protein Engineering, you need a solid background in biochemistry, molecular biology, and genetic engineering, typically supported by a relevant advanced degree. Experience with laboratory techniques such as PCR, site-directed mutagenesis, protein expression/purification, and analytical tools like mass spectrometry or chromatography is essential. Strong problem-solving abilities, attention to detail, and effective teamwork and communication skills help you stand out in this role. These competencies are crucial for designing novel proteins, collaborating in multidisciplinary teams, and ensuring successful project outcomes in biotech or pharmaceutical environments.

How much do protein engineers make?

Protein engineers typically earn a median salary ranging from $70,000 to $120,000 annually, depending on experience, education, and location. Advanced skills in molecular biology, bioinformatics, and laboratory techniques can lead to higher compensation, especially in biotech or pharmaceutical industries.

What do protein engineers do?

Protein engineers design and modify proteins to improve their functions or create new ones, often using techniques like directed evolution and computational modeling. They work in research labs, utilizing tools such as gene editing and structural analysis to develop applications in medicine, agriculture, and industry.

What are the most commonly searched types of Protein Engineering jobs in Texas?

The most popular types of Protein Engineering jobs in Texas are:

What cities in Texas are hiring for Protein Engineering jobs?

Cities in Texas with the most Protein Engineering job openings:

Infographic showing various Protein Engineering job openings in Texas as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $58,673 per year, or $28.2 per hour.

Computational Research Scientist, Simmons Cancer Center

UT Southwestern Medical Center

Dallas, TX • On-site

Full-time

Medical, Retirement, PTO

Posted 2 days ago

New


UT Southwestern rating

7.9

Company rating: 7.9 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

107th of 887 rated healthcare providers


Job description

WHY UT SOUTHWESTERN?
With over 75 years of excellence in Dallas-Fort Worth, Texas, UT Southwestern is committed to excellence, innovation, teamwork, and compassion. As a world-renowned medical and research center, we strive to provide the best possible care, resources, and benefits for our valued employees. Ranked as the number 1 hospital in Dallas-Fort Worth according to U.S. News & World Report, we invest in you with opportunities for career growth and development to align with your future goals. Our highly competitive benefits package offers healthcare, PTO and paid holidays, on-site childcare, wage, merit increases and so much more. We invite you to be a part of the UT Southwestern team where you'll discover a culture of teamwork, professionalism, and a rewarding career! 
JOB SUMMARY
Leads the design and implementation of High-Performance Scientific Computing infrastructure. Performs and supports scientific research using technical knowledge of software, software development, complex databases, high-performance computing, and/or hardware in a complex computing environment. Performs scientific research using knowledge of formalisms and algorithms from mathematics, statistics, and/or computer science. 

The Center for Cellular Therapies and Cancer Immunology in the Harold C. Simmons Comprehensive Cancer Center is looking to hire a Computational Research Scientist at the interface of machine learning, cancer genomics, and immunology. You will build and apply computational methods that turn large-scale multi-omic and functional datasets into validated therapeutic hypotheses, while working side by side with experimental and translational scientists to bring those hypotheses to the clinic.

This is a senior, high-autonomy position suited to someone who wants their models to drive biological discovery to therapies. You will help set scientific direction, mentor junior computational and experimental scientists, and serve as the analytical backbone of a program developing novel immunotherapies within a new center.


What you will do
    Build predictive models that integrate genomic, transcriptomic, epigenomic, single-cell, and functional-screen data to nominate novel therapeutic targets in cancer and the tumor immune microenvironment.
    Drive immunotherapy engineering by applying machine learning to antigen and neoantigen discovery, de novo protein design, and the optimization of engineered immune cells.
    Develop methods for interpreting high-dimensional and perturbation data, including deep learning approaches to sequence, structure, and single-cell readouts.
    Partner closely with wet-lab scientists to design experiments, prioritize candidates for validation, and iterate rapidly between computation and the bench.
    Lead and mentor trainees and staff, set analytical standards, and help shape the scientific roadmap of the program.
    Communicate results through high-impact publications, presentations, and collaborations across UT Southwestern's research and clinical community.

Areas of focus
Depending on your interests and strengths, your work can center on identifying novel cancer immunotherapy targets and/or developing novel therapeutics. Approaches may include:
    Machine learning applied to multi-omic, single-cell, and functional data
    Clinical-molecular correlations that link genotype and tumor biology to therapeutic response
    De novo protein design
    Computational proteomics

Preferred Qualifications 
Education
o    Ph.D. in Bioinformatics, Computational Biology, Biomedical Engineering, or related field
o    Master's degree in computer science, Electrical Engineering, or related field 
Experience
o    2 years experience in driving computational biology/machine learning projects. 
o    4 years experience in driving computational biology/machine learning projects with Master's Degree. 
o    Post-doctoral fellowship preferred.
 

BENEFITS
UT Southwestern is proud to offer a competitive and comprehensive benefits package to eligible employees. Our benefits are designed to support your overall wellbeing, and include:

  • PPO medical plan, available day one at no cost for full-time employee-only coverage
  • 100% coverage for preventive healthcare-no copay
  • Paid Time Off, available day one
  • Retirement Programs through the Teacher Retirement System of Texas (TRS)
  • Paid Parental Leave Benefit
  • Wellness programs
  • Tuition Reimbursement
  • Public Service Loan Forgiveness (PSLF) Qualified Employer
  • Learn more about these and other UTSW employee benefits!


EXPERIENCE AND EDUCATION
Required

  • Education
    PhD In Computer Science, Electrical Engineering, or related field or 
    Master's Degree In Computer Science, Electrical Engineering, or related field 
     
  • Experience
    2 years Experience in software development/engineering and/or HPC systems management with PhD. or 
    4 years Experience in software development/engineering and/or HPC systems management with Master's Degree. 
     


JOB DUTIES

  • Designs and implements the high-performance scientific computing infrastructure for for large, multi-institution projects, including software applications, workflows, servers, databases, long-term and short-term storage solutions, and cloud services.
  • Serves as a domain expert for research and industry collaborations on biomedical computational methods, algorithms and platforms. Subject matter expert in multiple areas of computing technology.
  • Leads and develops proof-of-concepts (PoCs) for solutions applied to biomedical and clinical science use-cases by working closely with industry collaborators.
  • Designs, develops, implements and optimizes algorithms and scientific workflows for high dimensional data in biomedical and clinical sciences.
  • Develops software and methods to explore, analyze and visualize biological data sets.
  • Demonstrates and craft applications of cutting-edge visual computing technologies and connect them to core infrastructure.
  • Report research results in journal articles, conference papers, and technical manuals.
  • Mentor and train staff, postdoctoral fellows, and graduate students.
  • Supports faculty and students in adapting computational strategies to leverage high-performance computing, working with a range of systems and technologies such as compute cluster, parallel file systems, high speed interconnects, GPU-based computing and data servers.
  • Performs other duties as needed

SECURITY AND EEO STATEMENT
Security
This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information. To the extent this position requires the holder to research, work on, or have access to critical infrastructure as defined in Section 117.001(2) of the Texas Business and Commerce Code, the ability to maintain the security or integrity of the critical infrastructure is a minimum qualification to be hired and to continue to be employed in the position.
EEO
UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status.
 


What UT Southwestern employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom