Postdoctoral Fellow - Biostatistics

The Department of Biostatistics at the University of Texas MD Anderson Cancer Center has one postdoctoral position open for biostatistics methodology research and high-throughput data analysis applications. The focus is research and publication. The primary research area can encompass:

• Developing and applying novel statistical and computational methods for the analysis of omics data from various sources, such as high-throughput proteomic, genomic, sequencing, transcriptomic, and imaging data, with particular emphasis on developing integrative and flexible models that incorporate both biological knowledge and empirical structures.
• Developing novel statistical and machine learning methods for the analysis of proteomics data with focuses on cancer research. Specific research areas include the integration of metabolites and proteins for early detection and risk assessment of cancer.

The Fellow will gain experience in cutting‑edge analysis of "big data" and has the opportunity to publish in high-impact biostatistics, bioinformatics, and health research journals. The postdoc will work under the supervision of Drs. Ehsan Irajizad, Kim‑Anh Do, and Sam Hanash on challenging and important clinical and biological projects that involve complex statistical modeling, data analysis, and computation.

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

• Statistical theory and application in cancer proteomics/genomics.
• Obtain expertise in the integration of metabolites and proteins for early detection and risk assessment of cancer.
• Gain experience in cutting‑edge analysis of "big data" and novel machine learning algorithms.
• Acquire extensive experience in R, R‑Shiny, Python, and other programming languages/environments.

• A Ph.D. in biostatistics/bioinformatics or a related quantitative field such as computer science, engineering, or quantitative computational biology.
• Highly motivated with strong training in statistics and excellent programming skills, particularly R, Python, Matlab and preferably one lower‑level computer language such as C or Fortran.
• Interest or background in computer‑intensive methodology, bioinformatics, genomics, and proteomics is preferred.
• Experience with high‑performance computing and Linux system is a plus.
• Expertise or skills in analysis of high‑dimensional data with missing values, mass‑spectrometry, and biomedical data analysis.

• MD Anderson offers full‑time postdoc positions with a salary ranging from $64,000 to $76,000, depending on the number of years of postgraduate experience.
• Benefits include medical, dental, paid time off, retirement, 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.
• The position may require maintenance of security and integrity of critical infrastructure, with routine reviews and screening.

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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