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Assistant R Shiny Jobs in Texas (NOW HIRING)

Senior Fundamentals Analyst

Houston, TX · On-site

$84K - $111.20K/yr

In coordination with key stakeholders, develop dashboards (PowerBI, Shiny, etc.) that accurately ... Coding skills (R/Python), power market experience, and financial analysis a plus. Certifications ...

Assistant R Shiny information

What is the difference between Assistant R Shiny vs Data Analyst?

AspectAssistant R ShinyData Analyst
Required skillsProficiency in R, Shiny, basic data visualizationData analysis, statistical skills, data visualization
Work environmentDeveloping interactive dashboards, supporting data projectsInterpreting data, generating reports, business insights
Common industry usageTech, research, healthcare, financeBusiness, marketing, finance, healthcare

Assistant R Shiny roles focus on developing interactive web applications using R and Shiny, often requiring programming skills. Data Analysts interpret data, create reports, and provide insights, with broader statistical expertise. While both roles work with data, Assistant R Shiny positions emphasize application development, whereas Data Analysts focus on data interpretation and reporting.

What are the most commonly searched types of R Shiny jobs in Texas? The most popular types of R Shiny jobs in Texas are:
What cities in Texas are hiring for Assistant R Shiny jobs? Cities in Texas with the most Assistant R Shiny job openings:

Postdoctoral Research Associate

Texas A&M University

College Station, TX

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 7 hours ago


Texas A&M University rating

7.8

Company rating: 7.8 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

191st of 530 rated colleges and universities


Job description

Job Title

Postdoctoral Research Associate

Agency

Texas A&M University Health Science Center

Department

Health Behavior

Proposed Minimum Salary

Commensurate

Job Location

College Station, Texas

Job Type

Staff

Job Description

Our Commitment

Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents& livedexperiences. Embracing varying opinions and perspectives strengthens ourcorevalueswhich are: Respect, Excellence, Leadership, Loyalty, Integrity, and Selfless Service.

Whowe are

As one of the fastest-growing academic health centers in the nation,Texas A&M Healthencompasses five colleges andnumerouscenters and institutes working together to improve health through transformative education, innovativeresearchand team-based health care delivery.

What we want

The Postdoctoral Research Associate will be instrumental in advancing the Research on Outcomes, Opportunities, Treatments and Success (ROOTS) by conducting research, providing critical quantitative and analytical support to research efforts, and securing external funding. The primary content area for this position will be clinical pediatric research.

What you need to know

Salary:Will becommensuratebased on the selected hire's education and experience.

Location: College Station, TX

Schedule: Full-Time; This position may require work beyond normal office hours and/or work on weekends.

Please note:This position is grant funded; future employment may be contingent upon future funding.

Apply!Submitting a cover letter, resume/CV toassistus with the review process. You may upload these documents to the application under CV/Resume.

Required Education and Experience

  • Ph.D., Sc.D., or equivalent doctoral degree in Epidemiology, Biostatistics, Health Services Research, Public Health, Psychology, or a closely related quantitative field

Preferred Qualifications

  • Ph.D., Sc.D., or equivalent doctoral degree in Epidemiology, Biostatistics, Health Services Research, Public Health, Psychology, or a closely related quantitative field completed within three years

  • Demonstrated proficiency in Spanish (Speaking, Reading, and Writing)

  • Demonstrated expertise and a strong publication record utilizing advanced statistical modeling and missing data techniques, specifically multiple imputation.

  • Strong foundational knowledge of pediatric health and clinical research methodologies.

  • Proven track record as a self-starting thinker with the ability to conceive, plan, and drive projects to completion with minimal direct oversight.

  • Prior experience holding or submitting a pre-doctoral or postdoctoral fellowship (such as an NIH F32).

  • Demonstrated record of successful peer-reviewed publications, including first-author papers, in high impact journals.

  • Direct experience with grant writing, particularly K-series applications, or equivalent mechanisms.

  • Proficiency in statistical programming languages (e.g., R, Python, Stata, SAS).

  • Direct experience leading successful Institutional Review Board (IRB) submissions at a major academic institution.

  • Experience utilizing data visualization software (e.g., Tableau, Power BI, R Shiny) to design and implement interactive dashboards for effective reporting of research findings and project metrics.


Responsibilities

Research Development, Writing, and Editing

  • Independently lead the preparation and submission of Institutional Review Board (IRB) applications, amendments, and continuing reviews for new and ongoing studies.

  • Design, execute, and manage original research projects aligned with the ROOTS Lab's mission, with a specific focus on pediatric health outcomes.

  • Prepare manuscripts for publication in high-impact peer-reviewed journals

  • Prepare presentations for national and international conferences.

  • Assist the ROOTS Director as needed to successfully develop and disseminate high-quality research, and secure funding to support ongoing efforts.


Quantitative Analysis

  • Independently perform complex quantitative data analyses, ranging from exploratory to explanatory models.

  • Demonstrate advanced proficiency in specialized statistical techniques, such as multiple imputation (MI) for handling missing data, power analysis and power calculations.

  • Oversee the cleaning, merging, and management of large, complex clinical and administrative datasets.

Mentorship and Guidance

  • Provide high-level guidance, review, and support to graduate and undergraduate students within the ROOTS Lab on their research designs and quantitative analyses.

  • Assist in the development and delivery of training materials related to statistical software, methods, and research best practices

Why Texas A&M University?

We are a prestigious university with strong traditions, Core Values, and a community of caring and collaboration.Amenities associated with a major university, such as sporting and cultural events,state-of-the-artrecreation facilities, the Bush Library and Museum, and much more await you.Experience all that a big city has to offer but witha reasonablecost-of-living and no long commutes.

  • Medical,prescription drug,dental,vision,life and AD&D,flexible spending accounts,and long-term disability insurancewith Texas A&M contributing to employee health and basic life premiums

  • 12-15 daysof annual paid holidays

  • Up toeight hours of paid sick leaveand at leasteight hours of paid vacationeach month

  • Automatic enrollment in theTeacher Retirement System of Texas

  • Health and Wellness:Free exercise programs and release time

  • Professional Development: All employees have access to freeLinkedIn Learningtraining, webinars, and limited financial support to attend conferences, workshops, and more

  • Educational release time and tuition assistancefor completing a degree while a Texas A&M employee

  • Living Well,a program at Texas A&M that has been built by employees, for employees

Instructions to Applicants:Applications received by Texas A&M University must either have all job application data entered, or a resume attached. Failure to provide all job application data or a complete resume could result in an invalid submission and a rejected application. We encourage all applicants to upload a resume or use a LinkedIn profile to prepopulate the online application.

All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution's verification of credentials and/or other information required by the institution's procedures, including the completion of the criminal history check.

Equal Opportunity/Veterans/Disability Employer.


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