• Postdoctoral Fellow - Computational Genomics…

    MD Anderson Cancer Center (Houston, TX)


    We are seeking highly motivated postdoctoral fellows to join a multidisciplinary research program in the molecular epidemiology of lymphoid malignancies. Based in the Departments of Epidemiology and Lymphoma & Myeloma at The University of Texas MD Anderson Cancer Center, our work bridges molecular, population, and clinical research.

     

    We investigate how inherited genetic variation, clonal hematopoiesis, and precancerous conditions influence the risk, progression, and outcomes of blood cancers, including chronic lymphocytic leukemia, multiple myeloma, and diffuse large B-cell lymphoma. By integrating germline and somatic genomic data with large-scale cohort, biobank, and clinical datasets, we identify risk factors, model disease trajectories, and develop precision tools for cancer risk prediction.

     

    Supported by funding from the Cancer Prevention and Research Institute of Texas (CPRIT) and the National Cancer Institute, the program provides access to exceptional resources, including high-performance computing, large and diverse population datasets, and a collaborative, data-rich environment.

     

    *LEARNING OBJECTIVES*

     

    Postdoctoral fellows will work at the interface of population science, computational biology, and clinical oncology. Potential projects include:

     

    Developing computational phenotyping methods to identify precursor conditions in large cohorts.

     

    Characterizing clonal growth trajectories in B-cell precursors and their somatic drivers.

     

    Investigating the combined effects of inherited and acquired genomic alterations on cancer risk and prognosis.

     

    Fellows will be supported in developing independent research directions, publishing in high-impact journals, and presenting at national and international meetings.

     

    All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations

     

    *ELIGIBILITY REQUIREMENTS*

     

    Ph.D., M.D./Ph.D., or equivalent degree in epidemiology, genetic epidemiology, bioinformatics, computational biology, or a related field.

     

    Demonstrated experience in genomic data analysis and statistical programming (R, Python).

     

    Interest in cancer epidemiology and early detection of lymphoid malignancies.

     

    Strong written and oral communication skills, with a publication record.

     

    *POSITION INFORMATION*

     

    MD Anderson offers full-time postdoc positions with a [salary ranging from $64,000 to $76,000](https://trainees.mdanderson.org/apply/mdaPostdoctoralFellowStipendFY24.pdf). depending on the number of years of postgraduate experience. The University of Texas MD Anderson Cancer Center offers excellent [benefits](https://www.utsystem.edu/offices/employee-benefits/insurance-0/eligibility), including medical, dental, [paid time off](https://www.mdanderson.org/about-md-anderson/employee-resources/leave.html), [retirement](https://www.utsystem.edu/offices/employee-benefits/ut-retirement-program/voluntary-retirement-programs), 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. [http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html](http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html)