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Doctoral Graduate Position (PhD) in Statistical Modeling, Machine Learning, and Algorithm Development
Position Overview
The Singh Laboratory in the Department of Cell Biology and Genetics, College of Medicine, Texas A&M University, invites applications for a Ph.D. student position. This role involves leveraging statistical modeling, machine learning, and algorithm development to advance research in cancer biology. Our lab integrates computational and molecular biology approaches to uncover transcriptional and co-transcriptional regulatory programs in both normal and diseased states. Using high-throughput functional assays (e.g., sequencing and CRISPR screens) combined with computational methods, the lab focuses on dissecting regulatory mechanisms in mammalian cells. This work is conducted in a collaborative environment, connecting expertise across the Computer Science and Engineering, the Center for Statistical Bioinformatics, and the Department of Biomedical Engineering at Texas A&M University, with further collaborations with Stanford University, Emory University, and Harvard University.
Responsibilities
- Develop expertise in machine learning, artificial intelligence, and statistical modeling to analyze and interpret complex biological datasets.
- Conduct computational and experimental research to uncover mechanisms of transcriptional regulation.
- Analyze high-throughput sequencing data and develop algorithms to model regulatory pathways.
- Implement novel experimental assays based on computational predictions to test hypotheses.
- Collaborate on interdisciplinary research projects and contribute to high-impact publications.
- Present findings at conferences and within the research community.
Qualifications
- Bachelor’s or Master’s degree in Computational Biology, Computer Science, Molecular Biology, Genetics, or a related field.
- Proficiency in programming languages, such as R and Unix, is required.
- Strong interest in transcriptional regulation, cancer biology, genetics, and statistical analysis.
- Excellent organizational, communication, and teamwork skills.
- A strong work ethic and intellectual curiosity.
Graduate Programs
Application Information
To apply, send the following documents to Dr. Irtisha Singh (isingh[at]tamu.edu):
- A cover letter outlining your research interests and experience.
- Your CV with academic and research details.
- Contact information for three references.
Why Join the Singh Lab?
The Singh Lab offers a dynamic and collaborative environment to develop cutting-edge expertise in computational and molecular biology. Students will access multidisciplinary resources and work on impactful projects exploring mechanisms underlying health and disease. Join us to make meaningful contributions to understanding transcriptional regulation in mammalian systems.