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Data Science Jobs in Mission, TX (NOW HIRING)

Life Sciences Tutor

Edinburg, TX · Remote

$18 - $40/hr

... data. Emphasizes systems-level thinking and connects life sciences to medicine, agriculture ... Familiar with life science curricula at high school and introductory college levels, and common ...

Showing results 41-60

Data Science information

See Mission, TX salary details

$29K

$94.9K

$151.9K

How much do data science jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data science in Mission, TX is $94,876.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,100.00 and $105,100.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What are the most commonly searched types of Data Science jobs in Mission, TX?

The most popular types of Data Science jobs in Mission, TX are:

What are popular job titles related to Data Science jobs in Mission, TX?

For Data Science jobs in Mission, TX, the most frequently searched job titles are:

What cities near Mission, TX are hiring for Data Science jobs?

Cities near Mission, TX with the most Data Science job openings:

Infographic showing various Data Science job openings in Mission, TX as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $94,876 per year, or $45.6 per hour.

$70 - $100/hr

Other

Posted 5 days ago


University Of Texas Rio Grande Valley rating

7.6

Company rating: 7.6 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

290th of 622 rated colleges and universities


Job description

Job Summary

Under limited supervision and with considerable latitude for the use of initiative and independent judgment, performs advanced research work by coordinating the development, implementation, and monitoring of specialized research projects. Manages the upkeep, training, and supervision of specialized research equipment within area of assigned responsibility.

Description of Duties
  • Explore molecular mechanisms linking to cancer, obesity, liver, women diseases using a combination of biochemical and molecular techniques in cultured cells, xenografts, and engineered mouse models.
  • Develops, tests, records, and analyzes research projects based on application expertise and interest in cancer biology, molecular techniques, nanomedicine, drug delivery, pathology, chronic diseases.
  • Drive key research questions that crosscut the themes of statistics, graphical models, causal inference, active learning, spatial modeling, and deep generative models.
  • Execute multiple projects that will involve analysis of complex biological and medical data including multi‑omics, ex vivo drug screens, patient treatment histories, and spatial profiling of cancer patient tissues.
  • Develop novel computational methods that power ambitious collaborative projects with high translational impact.
  • Prepare manuscripts and assist with grant and proposal submissions related to cancer and other biomedical research.
  • Publish in peer‑reviewed publications related to the focus of the research activities assigned and assist with grant and proposal submissions related to cancer and other biomedical research.
  • Coordinate, plan, develop, conduct, monitor, and analyze research projects to include interpreting results, developing non‑standard tests, recommending technology‑based solutions, or determining computational strategies; formulate and monitor long‑range research objectives, programs, and priorities; review, analyze, and evaluate the impact of legislation, regulations, and policies affecting current research.
  • Assist in formulating research objectives and programs and determine the scope and methodologies of research projects and areas to be evaluated; provide consultation and technical advice on research methods and techniques; work with researchers on the development of experiments and interpretation of results for research and teaching.
  • Develop policies and procedures used in conducting and administering research and evaluation activities; develop quality assurance procedures and conduct quality assurance reviews on research projects; develop, improve, or customize products, equipment, formulas, processes, or analytical methods; develop data models and databases; may develop new software applications or customize existing applications to meet specific scientific project needs.
  • Write technical papers/reports and prepare standards and specifications for processes, facilities, products, or tests; direct, coordinate, or advise personnel in test procedures.
  • Coordinate the collection, compilation, and analysis of research data to include the use of statistical methods and relational databases to analyze data sets; prepare and provide presentations for professional organizations, governmental entities, and the public; communicate research results through conference presentations, scientific publications, or project reports.
  • Ensure adherence to laboratory standards and practices to maximize safety and operational effectiveness; prepare and schedule equipment use during laboratory/research sessions; diagnose equipment malfunctions, dismantle, and repair equipment; maintain laboratory instruments to ensure proper working order and troubleshoot malfunctions when needed; compile and analyze test information to determine process or equipment operating efficiency or to diagnose malfunctions.
  • Train users on the operation and data management of research equipment.
  • Handle all issues relating to laboratory supplies, including ordering materials, maintaining inventory, and proper storage.
  • Participate in proposal writing and coordination for external funds for equipment acquisitions; may be a Principal Investigator or Co‑Principal Investigator.
  • Comply with all State and University policies.
  • May be responsible for generating external funds to supplement/sustain a percentage of salary.
  • Design and implement training activities as required.
  • Develop and implement an evaluation plan and prepare progress reports as needed.
  • Other duties may be assigned.
Supervision Received

Specific supervision from assigned supervisor.

Supervision Given

May plan, assign, and/or supervise the work of others.

Required Education

Ph.D.

Preferred Education

Ph.D. in Biology, Cancer or Molecular Biology, Genetics, Bioinformatics, Biostatistics, Computational Biology or other closely related biomedical field.

Licenses/Certifications

None.

Required Experience

Four (4) years of relevant disciplinary experience, related to the statement of duties and responsibilities. Knowledge of statistical concepts and methods and their application to research analysis; of measurement, testing, and evaluation; and of research methods, principles, techniques, and philosophies.

Preferred Experience

Demonstrated track record in the fields of statistics, machine learning, computational biology, data science or related field (computer science, physics, biostatistics, bioinformatics). Experience in a molecular biology laboratory or closely related experience.

Equipment

Skilled in conducting qualitative and quantitative research and in using computers, software, and statistical tools and programs.

Working Conditions

Needs to be able to successfully perform all required duties. The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. While performing the duties of this job, the employee may occasionally be exposed to fumes or airborne particles; toxic or caustic chemicals; risk of electrical shock; and risk of radiation. The noise level in the work environment is usually moderate. UTRGV is a distributed institution, which requires presence at multiple locations throughout the Rio Grande Valley.

Other

Ability to establish and maintain effective working relationships with co‑workers and the public. May work some evenings and/or weekends. Ability to plan, organize, and oversee research projects, evaluate research data, ensure the development of measuring instruments with respect to reliability, relevance, and validity, interpret and publish research findings, and communicate effectively.

Physical Capabilities

N/A

Employment Category

Full‑Time

Minimum Salary

Commensurate with Experience

Posted Salary

Commensurate with Experience

Position Available Date

07/20/2026

Grant Funded Position

Yes

Grant Expiration Date

03/31/2029

EEO Statement

It is the policy of The University of Texas Rio Grande Valley to promote and ensure equal employment opportunities for all individuals without regard to race, color, national origin, sex, age, religion, disability, sexual orientation, gender identity or expression, genetic information or protected veteran status. In accordance with the requirements of Title VII of the Civil Rights Act of 1964, the Title IX of the Education Amendments of 1972, Section 504 of the Rehabilitation Act of 1973, and the Americans with Disabilities Act of 1990, as amended, our University is committed to comply with all government requirements and ensures non‑discrimination in its education programs and activities, including employment. We encourage women, minorities and differently abled persons to apply for employment positions of interest.

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