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What are the key skills and qualifications needed to thrive as a computational statistician?

To thrive as a Computational Statistician, you need a solid background in statistics, mathematics, and computer science, usually supported by at least a master's degree in a related field. Expertise in programming languages such as R or Python, experience with statistical software, and familiarity with data management tools are typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret data and present findings clearly. These skills are crucial for designing robust statistical models, extracting actionable insights from complex datasets, and supporting data-driven decision-making.

What are the common challenges faced by professionals in computational statistics, and how can they be addressed?

Professionals in computational statistics often encounter challenges such as managing large, complex datasets, ensuring computational efficiency, and translating statistical findings into actionable insights for non-technical stakeholders. Addressing these challenges typically involves staying updated with the latest software tools, collaborating closely with data engineers and domain experts, and continuously improving communication skills to explain technical results clearly. Proactively seeking opportunities for cross-functional teamwork and ongoing professional development can also help computational statisticians navigate these complexities and advance in their careers.

What is the difference between Computational Statistics vs Data Scientist?

AspectComputational StatisticsData Scientist
Required CredentialsDegree in Statistics, Mathematics, or related fieldDegree in Computer Science, Statistics, or related field
Work EnvironmentResearch labs, academia, data analysis teamsTech companies, consulting firms, diverse industries
Employer & Industry UsageAcademic institutions, research organizations, analytics teamsBusiness, technology, finance, healthcare
Common Search & Comparison IntentUnderstanding specialized statistical modeling and algorithmsBroader data analysis, machine learning, and business insights

Computational Statistics focuses on developing and applying statistical algorithms and models using computational methods, often emphasizing theoretical foundations. Data Scientists utilize these techniques along with programming and data manipulation skills to extract insights from large datasets across various industries. While there is overlap, Computational Statistics is more research-oriented, whereas Data Science covers a broader range of data analysis tasks.

What is computational statistics?

Computational statistics is a field within data analysis that uses algorithms, programming, and computer-based methods to process and interpret large datasets. It involves techniques such as simulation, optimization, and statistical modeling, often utilizing tools like R or Python. Professionals in this area develop and implement computational methods to solve complex statistical problems efficiently.

What are popular job titles related to Computational Statistics jobs in Texas?

For Computational Statistics jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Computational Statistics jobs in Texas look for?

The top searched job categories for Computational Statistics jobs in Texas are:

Computational Statistics jobs near you
Infographic showing various Computational Statistics job openings in Texas as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Computational Biologist I, Simmons Cancer Center

Dallas, TX • On-site

371021 - SCC-Jae Choi Lab
See more jobs at 371021 - SCC-Jae Choi Labexternal

Full-time

Medical, Retirement, PTO

Re-posted yesterday

Key responsibilities

  • Collaborate with the Principal Investigator and research team to analyze and manage large-scale biological datasets, including genomic, single-cell, spatial, and multi-omic data.

  • Develop, modify, and maintain computational workflows, software tools, and databases to support research projects and ensure reproducibility of analyses.

  • Prepare reports, analyses, and visualizations for presentations and publications, and support data interpretation and technical documentation.

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
Perform professional work in support of scientific research using technical knowledge of software, software development, networking, and/or hardware in a complex computing environment. Subject matter expert in multiple areas of computing technology, and specific knowledge of molecular biology and genetics. Works collaboratively with Principal Investigator ("PI") to determine the most suitable computational methods and tools to analyze large-scale biological data sets. Prepare reports for presentation or publication. Responsible for assisting PI in meeting the system needs for multiple research projects and/or labs.
The Choi Laboratory within the Center for Cellular Therapies and Cancer Immunology at UT Southwestern conducts interdisciplinary research at the intersection of cancer immunology, cellular therapy, immune engineering, and AI-enabled biomedical discovery. The Computational Biologist I will work collaboratively with the Principal Investigator, Dr. Jaehyuk Choi, and a multidisciplinary team of computational and experimental researchers 1) to analyze and manage large-scale genomic, single-cell, spatial, clinical, and other multi-omic datasets and 2) to implement novel computational methods to analyze and engineer new proteins. The position will help identify, implement, and refine appropriate bioinformatics, statistical, and computational methods to produce reproducible analyses and translate complex data into meaningful biological insights.
Responsibilities include developing and maintaining computational workflows, software tools, databases, and research computing resources; supporting data visualization and interpretation; and contributing to machine-learning and other advanced analytical approaches as appropriate to project needs. The Computational Biologist I will document code, methods, and results; prepare analyses and reports for presentations, publications, and collaborative discussions; and provide technical support and training related to laboratory computational systems. This position will support multiple collaborative research projects aimed at advancing the understanding of immune biology and accelerating the development of innovative cellular and immune-based therapies.
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
    Master's Degree In Computer Science or a related field of biological science or
    Bachelor's Degree In Computer Science or a related field of biological science
  • Experience
    2 years Related research experience in bioinformatics and computational biology with Bachelor's Degree
JOB DUTIES
  • Manage research laboratory computer hardware and software programming and maintenance. Ensure existing systems meet the continuing needs of the lab and/or recommend and test new systems as necessary.
  • Perform complex data analysis related to specialized research methodologies and results as assigned by the PI.
  • Develop and/or modify software to support new and ongoing research projects.
  • Resolve hardware, software, and network issues in support of the lab.
  • Develop and maintain complex databases to support new and ongoing research projects.
  • Train laboratory staff in the use of pertinent research systems.
  • May specialize in bioinformatics, software development, network administration, or hardware/software maintenance.
  • Perform other duties as assigned.
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.
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.

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