Job Description

A postdoctoral fellow position is available in the Department of Epidemiology at The University of Texas MD Anderson Cancer Center. The role will focus on conducting computational research on clonal hematopoiesis of indeterminate potential (CHIP). Our group has recently completed a cohort of 25,000 cancer patients with targeted sequencing data, which we have used to identify CHIP. This dataset is linked to electronic health records and cancer registry data. We are interested in understanding how cancer therapy influences CHIP and how CHIP affects outcomes in cancer patients, including treatment response, treatment toxicity, and survival. Methodological projects are also available, such as optimizing the identification of CHIP in cancer patients. The ideal applicant will be prepared to lead one or more projects under the direct guidance of the principal investigator, with the goal of producing first-author publications and pursuing an academic career. Practical responsibilities include preparing analytic datasets, conducting statistical analyses, interpreting data, and developing presentations of results for conferences and publications. Experience with coding software such as Stata, R, SAS, or Python is required. All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations. *LEARNING OBJECTIVES* - Planning, organizing, coordinating, and participating in scientific research projects. - Work closely with PI to determine specific goals or objectives to be obtained for each research project and evaluate research data, develop, and revise techniques or approaches to work problems. - Provide expertise on research-related issues, data management, analysis, and interpretation. - Conduct research activities (extensive literature reviews) and develop reports, presentations, and other documents. - Present findings of research projects to professional groups and prepare scientific documents for publication. - Advance skills in computational genetics and clinical informatics *ELIGIBILITY REQUIREMENTS* Highly motivated individuals who have obtained, or are about to obtain, a PhD in Biology, Bioinformatics, Computer Science, Epidemiology, Statistics, Genetics, or related fields are encouraged to apply. Relevant coursework in biostatistics is required. Physician-scientists with appropriate research experience are also eligible. A proven track record of publications, along with excellent written and oral communication skills, is required. *ADDITIONAL APPLICATION INFORMATION* Email the following to PI Kevin Nead (ktnead@mdanderson.org) to apply: - Please include a statement with a description of background, interest in the position, relevant coursework or coding experience, prior experience with data analysis or research, and career/academic goals. - CV/resume - Names and email addresses of 3 references *POSITION INFORMATION* MD Anderson offers full-time postdoc positions with a tuition benefits, educational opportunities, and individual and team recognition Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements. This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment. It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law.

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Full time, Local area,

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