Postdoctoral Fellowships in Computational Biology

1000scholars; Georgia; On-site; USD 60,000 - 80,000; Full time

Job summary

MD Anderson Cancer Center’s Cancer Genomics and Evolution Laboratory invites applications for postdoctoral researchers in computational biology. The role focuses on large-scale cancer genomics and evolutionary analyses, with a data-driven, largely computational approach and a small wet-lab component.

Ideal candidates hold a PhD in computational biology or related fields, with a strong publication record and experience handling massively parallel sequencing data.

Qualifications

• PhD in computational biology or related field with cancer genomics experience.
• Proven publication record and ability to handle large-scale sequencing data.

Responsibilities

• Postdocs will spearhead cancer genomics and tumor evolution projects.
• Lead their own project and collaborate with lab and external partners.
• Mentor PhD students and contribute to team research efforts.

Skills

Computational biology

Genomics

Bioinformatics

Team collaboration

Publication record

Education

PhD in computational biology

Experience in cancer genomics

Job description

Cancer Genomics and Evolution Laboratory, Prof. Dr. Peter Van Loo, Department of Genetics

We seek talented and motivated postdocs in computational biology to join the Cancer Genomics and Evolution Laboratory of Peter Van Loo at the University of Texas MD Anderson Cancer Center. The post holders will spearhead projects in large-scale cancer genomics and evolution.

The Cancer Genomics and Evolution laboratory

Our research focuses on large-scale pan-cancer genomics to gain insight into the genes, mutational processes and evolution of cancer. Our work is highly data-driven, with a focus on large-scale data analysis to gain broad biological insight and on the development of computational methods to enable conceptually novel analyses. The research group is mostly computational with a small wet-lab component.

Since its inception, members of the Cancer Genomics and Evolution laboratory have co-authored 22 papers in Nature, Cell or Science. Recent successes include studies of intra-tumor heterogeneity across cancers (Dentro et al., Cell 2021), the evolutionary history of cancer (Gerstung et al., Nature 2020), biallelic mutations in cancer genomes (Demeulemeester et al., Nature Genetics 2022), combined DNA methylation and genomic alterations in lung cancer evolution (Gimeno-Valiente et al., Nature Genetics 2025), benchmarking methods for subclonal reconstruction (Salcedo et al., Nature Biotechnology 2025), and the history of chromosomal instability in genome doubled tumors (Baker et al., Cancer Discovery 2024).

Position qualifications

The ideal candidate will have a PhD in computational biology (bioinformatics, genomics, …) and research experience in the field of cancer genomics, although we welcome applications from candidates with diverse educational backgrounds, including computational biology, physics and (bio)statistics, biology or medicine. Applicants must have a proven publication record. Prior experience with handling massively parallel sequencing data is considered an advantage.

Postdocs will spearhead projects in cancer genomics and tumor evolution. They are expected to lead their own project, contribute to other projects on a collaborative basis (both within the lab and with external collaborators) and guide PhD students in their research. The ability to work in a team is essential.

More information

https://www.mdanderson.org/research/departments-labs-institutes/labs/van-loo-laboratory.html