Postdoctoral Research Associate job opportunity at Texas A&M University System.

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Texas A&M University System Postdoctoral Research Associate
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loacation College Station, TX, United States Of America
loacation College Statio..........United States Of America

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   & lived   experiences. Embracing varying opinions and perspectives strengthens our   core   values   which are: Respect, Excellence, Leadership, Loyalty, Integrity, and Selfless Service.          Who we are As one of the fastest-growing academic health centers in the nation,   Texas A&M Health   encompasses five colleges and   numerous   centers and institutes working together to improve health through transformative education, innovative   research   and 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:   W ill be   commensurate   based 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 to   assist   us 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-art   recreation facilities, the Bush Library and Museum, and much more await you.     Experience all that a big city has to offer but with   a reasonable   cost-of-living and no long commutes.       Medical,   prescription drug,   dental,   vision,   life and AD&D,   flexible spending accounts ,   and long-term disability insurance   with Texas A&M contributing to employee health and basic life premiums    12-15 days   of annual paid holidays     Up to   eight hours of paid sick leave   and at least   eight hours of paid vacation   each month    Automatic enrollment in the   Teacher Retirement System of Texas      Health and Wellness:   Free exercise programs and release time     Professional Development: All employees have access to free   LinkedIn Learning   training, webinars, and limited financial support to attend conferences, workshops, and more     Educational release time and tuition assistance   for 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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