Interested in this Research Scientist role at The University of Texas Rio Grande Valley?
Apply Now →Skills & Technologies
About This Role
Number of Vacancies 1
Location McAllen, Texas
Department School of Medicine / MDOISU Cancer Research
FTE 1\.0
FLSA Exempt
Scope of Job
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.
- Publishes in peer\-reviewed publications related to the focus of the research activities assigned and assists with grant and proposal submissions related to cancer and other biomedical research.
- Coordinates, plans, develops, conducts, monitors, and analyzes research projects to include interpreting results, developing nonstandard tests, recommending technology\-based solutions, or determining computational strategies; formulates and monitors long\-range research objectives, programs, and priorities; reviews, analyzes, and evaluates the impact of legislation, regulations, and policies affecting current research.
- Assists in formulating research objectives and programs and determines the scope and methodologies of research projects and areas to be evaluated; provides consultation and technical advice on research methods and techniques; works with researchers on the development of experiments and interpretation of results for research and teaching.
- Develops policies and procedures used in conducting and administering research and evaluation activities; develops quality assurance procedures and conducts quality assurance reviews on research projects; develops, improves, or customizes products, equipment, formulas, processes, or analytical methods; develops data models and databases; may develop new software applications or customize existing applications to meet specific scientific project needs.
- Writes technical papers /reports and prepares standards and specifications for processes, facilities, products, or tests; directs, coordinates, or advises personnel in test procedures.
- Coordinates the collection, compilation, and analyzing of research data to include the use of statistical methods and relational databases to analyze data sets; prepares and provides presentations for professional organizations, governmental entities, and the public; communicates research results through conference presentations, scientific publications, or project reports.
- Ensures adherence to laboratory standards and practices to maximize safety and operational effectiveness; prepares and schedules equipment use during laboratory/research sessions; may diagnose equipment malfunctions, dismantle, and repair equipment; maintains laboratory instruments to ensure proper working order and troubleshoots malfunctions when needed; compiles and analyzes test information to determine process or equipment operating efficiency or to diagnose malfunctions.
- Trains users on the operation and data management of research equipment.
- Handles all issues relating to laboratory supplies, including ordering materials, maintaining inventory, and proper storage.
- Participates in proposal writing and coordination for external funds for equipment acquisitions; may be a Principle Investigator or Co\-Principle Investigator.
- Complies with all State and University policies.
- May be responsible for generating external funds to supplement/sustain a percentage of salary.
- Designs and implements training activities as required.
- Develops and implements an evaluation plan and prepares 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 research 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
If Yes, Provide Grant Expiration Date 03/31/2029
Posting Detail Information
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.
Special Instructions to Applicants
Dear Applicant,
Human Resources will not be held responsible for redacting any confidential information from the documents you attach with your application. The confidential information includes the following:
Date of Birth
Gender
- Ethnicity/Race
Please make sure that you omit this information prior to submission. We are advising that Human Resources will be forwarding your application to the department as per your submission. The University of Texas Rio Grande Valley reserves the right to discontinue accepting applications prior to the stated close date of this position, after meeting the posting requirement of three (3\) calendar days.
If you have any questions, please do not hesitate to contact us at (956\) 665\-2451 and/or [email protected].
Additional Information
UTRGV is a distributed location institution and working location is subject to change based on need.
All UTRGV employees are required to have a criminal background check (CBC). Incomplete applications will not be considered.
Substitutions to the above requirements must have prior approval from the VP of HR \& Regulatory Affairs.
Role Details
About This Role
Research Scientists push the boundaries of what AI can do. They design experiments, develop novel architectures, publish papers, and translate research breakthroughs into production capabilities. This is where the fundamental advances happen, from attention mechanisms to diffusion models to reasoning chains.
The work is intellectually demanding and often ambiguous. You might spend months on an approach that doesn't pan out. The best research scientists combine deep mathematical intuition with engineering pragmatism. They know when to go deep on theory and when to run experiments. They read papers voraciously and can spot incremental contributions from genuine breakthroughs.
Across the 3,708 AI roles we're tracking, Research Scientist positions make up 3% of the market. At The University of Texas Rio Grande Valley, this role fits into their broader AI and engineering organization.
Research Scientist roles are concentrated at major AI labs (OpenAI, Anthropic, Google DeepMind, Meta FAIR) and well-funded AI startups. The competition is intense. PhD is effectively required for most positions, and publication track record matters. Compensation is among the highest in AI, reflecting both the scarcity of talent and the strategic importance of research breakthroughs.
What the Work Looks Like
A typical week includes: reading and discussing recent papers with your team, designing and running experiments on multi-GPU clusters, analyzing results and iterating on hypotheses, writing up findings for internal review or publication, and collaborating with engineering teams to productionize promising results. The ratio of thinking to coding is higher than in engineering roles.
Research Scientist roles are concentrated at major AI labs (OpenAI, Anthropic, Google DeepMind, Meta FAIR) and well-funded AI startups. The competition is intense. PhD is effectively required for most positions, and publication track record matters. Compensation is among the highest in AI, reflecting both the scarcity of talent and the strategic importance of research breakthroughs.
Skills Required
PhD strongly preferred for most roles. Deep expertise in a specific area (NLP, computer vision, reinforcement learning, multimodal) is expected. PyTorch is the standard. Publication track record matters. Strong mathematical foundations in linear algebra, probability, optimization, and information theory are assumed.
Beyond the fundamentals, companies value experience with large-scale distributed training, novel architecture design, and the ability to bridge theory and practice. Understanding of current frontier topics (reasoning, multimodal, long-context, alignment) is essential. Code quality matters more than many researchers expect. Labs want researchers who can implement their ideas cleanly.
Strong research postings specify the research area, mention the team you'd join, and describe the problems they're working on. They often list recent publications from the team. Vague 'AI research' postings without specifics usually mean the company wants to sound impressive but doesn't have a real research agenda.
Compensation Benchmarks
Research Scientist roles pay a median of $222,200 based on 197 positions with disclosed compensation. Entry-level AI roles across all categories have a median of $120,000.
Across all AI roles, the market median is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. For comparison, the highest-paying categories include AI Safety ($300,000) and Research Engineer ($280,000). By seniority level: Entry: $120,000; Mid: $200,000; Senior: $230,000; Director: $272,150; VP: $250,000.
The University of Texas Rio Grande Valley AI Hiring
The University of Texas Rio Grande Valley has 1 open AI role right now. They're hiring across Research Scientist. Based in McAllen, TX, US.
Location Context
Across all AI roles, 14% (508 positions) offer remote work, while 3,180 require on-site attendance. Top AI hiring metros: New York (1,045 roles, $220,000 median); San Francisco (810 roles, $277,088 median); Los Angeles (397 roles, $215,000 median).
Career Path
Common paths into Research Scientist roles include PhD Student, Research Engineer, Postdoc.
From here, career progression typically leads toward Research Lead, Distinguished Scientist, VP of Research.
The PhD is the entry point for most paths. Choose your advisor and research area carefully since they'll define your first industry position. Publish consistently, contribute to open-source projects in your area, and build relationships at conferences. Industry research offers better compensation and compute resources than academia, but the pressure to show product impact is real.
What to Expect in Interviews
Research interviews are multi-stage: a research talk (present your best paper), technical deep-dives on your methodology, and often a 'research proposal' exercise where you design an experiment to test a hypothesis. Coding rounds test implementation ability alongside theoretical knowledge. Be prepared to implement a paper from scratch and discuss the design choices the authors made. Strong candidates can critique papers constructively and identify gaps in experimental methodology.
When evaluating opportunities: Strong research postings specify the research area, mention the team you'd join, and describe the problems they're working on. They often list recent publications from the team. Vague 'AI research' postings without specifics usually mean the company wants to sound impressive but doesn't have a real research agenda.
AI Hiring Overview
The AI job market has 3,708 open positions tracked in our dataset. By seniority: 102 entry-level, 1,705 mid-level, 1,469 senior, and 432 leadership roles (Director, VP, C-Level). Remote roles make up 14% of the market (508 positions). The remaining 3,180 roles require on-site or hybrid attendance.
The market median for AI roles is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. Highest-paying categories: AI Safety ($300,000 median, 21 roles); Research Engineer ($280,000 median, 147 roles); AI Architect ($254,798 median, 67 roles).
Research Scientist roles are concentrated at major AI labs (OpenAI, Anthropic, Google DeepMind, Meta FAIR) and well-funded AI startups. The competition is intense. PhD is effectively required for most positions, and publication track record matters. Compensation is among the highest in AI, reflecting both the scarcity of talent and the strategic importance of research breakthroughs.
The AI Job Market Today
The AI job market spans 3,708 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (2,605), Data Scientist (310), AI Software Engineer (259). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (102) are outnumbered by mid-level (1,705) and senior (1,469) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 432 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 14% of all AI roles (508 positions), with 3,180 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $217,500. Top-quartile roles start at $272,100, and the 90th percentile reaches $325,000. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $300,000 median, while Prompt Engineer roles sit at $140,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (1,890 postings), Aws (1,103 postings), Azure (877 postings), Rag (855 postings), Gcp (631 postings), Prompt Engineering (560 postings), Pytorch (545 postings), Claude (498 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
Get Weekly AI Career Intelligence
Salary data, skills demand, and market signals from 16,000+ AI job postings. Every Monday.