ASSOCIATE RESEARCH SCIENTIST

University of Texas Rio Grande Valley; McAllen (TX); On-site; USD 70,000 - 100,000; Full time

Job summary

The University of Texas Rio Grande Valley is seeking a Ph.D. level Research Scientist to conduct advanced research on molecular mechanisms associated with cancer and other critical health issues. This role involves managing research projects, analyzing complex biological data, and contributing to peer-reviewed publications.

With a focus on developing computational methods, the candidate will drive innovative research across multiple themes, ensuring adherence to safety standards and providing training for lab personnel.

Experience in statistics, machine learning, and molecular research techniques is preferred. The position offers a collaborative work environment and opportunities for grant-funded projects.

Qualifications

• Ph.D. degree required.
• Four years of relevant experience.
• Demonstrated track record in statistics and machine learning.

Responsibilities

• Coordinate specialized research projects.
• Develop and analyze research data.
• Publish results in peer-reviewed journals.

Skills

Statistical analysis

Molecular techniques

Machine learning

Computational biology

Data science

Education

Ph.D. in Biology, Cancer or Molecular Biology, Genetics, Bioinformatics, Biostatistics, or Computational Biology

Tools

Statistical software

Research databases

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.