The Bhattacharya Lab for Computational Genomics in the Department of Epidemiology current has a funded open postdoctoral position to develop and apply computational methods to study the genetic and molecular etiology of breast cancer and/or pregnancy and childhood outcomes. The prospective Postdoctoral Fellow will have the opportunity to lead one of many ongoing projects as well as sufficient resources and multiple collaborative avenues to pursue independent research interests. The Bhattacharya Lab has ample computational resources, experimental and wet laboratory resources, access to novel genomic data, and multiple collaborators both within and outside MD Anderson. We are committed to the training of the prospective Postdoctoral Fellow for their future career goals. Applicants with a background in statistics, computer science, computational biology/bioinformatics are especially encouraged to apply.

LEARNING OBJECTIVES
Gain or advance skills in analysis of novel genetic and transcriptomic data using machine learning and bioinformatic approaches, surrounding the study of germline genetic effects on breast cancer risk/mammographic density or placental function/pregnancy and childhood outcomes. Analysis of genetic, transcriptomic, and methylomic data to detect susceptibility genes for breast cancer risk/mammographic density or placental function/pregnancy and childhood outcomes from patient samples. Gain or advance skills in development of scalable statistical or computational genomics tools to analysis genetic and transcriptomic data. Develop computational software for statistical methods for analysis of genetic and transcriptomic data. Learn to develop independent lines of research. With support of faculty mentor(s) independently develop new lines of research.

ELIGIBILITY REQUIREMENTS
We are searching for a recent (or soon-to-be) Ph.D. graduate with formal training in one or more of the following: statistical human genetics, bioinformatics, genetic/molecular epidemiology, computational genomics or biology, statistics, or biostatistics. We encourage candidates with programming experience (e.g., R, python, C++, etc). The ideal candidate will have strong input about the nature and course of research projects aligning with the lab goals of applying statistical genomics and molecular epidemiology principles to understanding breast cancer and developmental trait etiology. Applicants with experience working with genetic/sequencing data, multi-omics datasets, and/or clinical data are encouraged to apply.

POSITION INFORMATION
MD Anderson follows the NIH stipend levels as outlined by the Kirchstein - NRSA . This full-time trainee position will provide a salary between $56,484 to $68,604, dependent upon the years of postgraduate experience.

MD Anderson offers compensated trainees:
- Paid medical benefits (zero premium) starting on first day for trainees who work 30 or more hours per week
- Group Dental, Vision, Life, AD&D and Disability coverage
- Paid Education Vacation and Sick Leave
- Paid institutional holidays, wellness leave, childcare leave and other paid leave programs
- Teachers Retirement System defined-benefit pension plan and two voluntary retirement plans
- Employer paid life, AD&D and an illness-related reduced salary pay program
- Health Savings Account and Dependent Care Reimbursement flexible spending accounts
- Fertility benefits
- State of Texas longevity pay
- Extensive wellness, fitness, employee health programs and employee resource groups