Postdoctoral Fellowships in Computational Biology

VS-Postdoc; Houston, Northern (TX, KY); Hybrid; USD 65,000 - 80,000; Full time

Job summary

The Cancer Genomics and Evolution Laboratory at MD Anderson Cancer Center in Houston invites Postdoctoral Fellows in Computational Biology to lead projects in large-scale cancer genomics and tumor evolution. The ideal candidate has a PhD in computational biology or genomics, a strong publication record, and experience with massively parallel sequencing data; collaboration is essential.

This is a full-time permanent position with opportunities to publish in top journals and contribute to

Qualifications

• PhD in computational biology, bioinformatics, genomics, or a related field.

Responsibilities

• Postdocs will spearhead projects in cancer genomics and tumor evolution.
• Lead their own project and collaborate with the lab and external partners.
• Guide PhD students and contribute to multiple projects within the lab.

Skills

Computational Biology

Bioinformatics

Genomics

Cancer Genomics

Evolution

Education

PhD

Job description

Postdoctoral Fellowships in Computational Biology

2026-08-31

Postdoctoral Fellowships in Computational Biology

Employer

The University of Texas MD Anderson Cancer Center

Location

Houston, Texas (US)

Commensurate with experience

27 Oct 2026

Job Type

Postdoctoral

Employment - Hours

Full time

Duration

Permanent

Qualification

PhD

Sector

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

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

The Cancer Genomics and Evolution laboratory

Our research focuses on large-scale pan-cancer genomics to gain insight intothe genes, mutational processes and evolution of cancer. Our work is highlydata-driven, with a focus on large-scale data analysis to gain broad biologicalinsight and on the development of computational methods to enable conceptuallynovel analyses. The research group is mostly computational with a small wet-labcomponent.

Since its inception, members of the Cancer Genomics and Evolution laboratoryhave co-authored 22 papers in Nature, Cell or Science. Recent successes includestudies of intra-tumor heterogeneity across cancers (Dentro et al., Cell 2021), the evolutionary history of cancer (Gerstung et al., Nature 2020), biallelicmutations 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 forsubclonal reconstruction (Salcedo et al., Nature Biotechnology 2025), and thehistory of chromosomal instability in genome doubled tumors (Baker et al.,Cancer Discovery 2024).

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

Postdocs will spearhead projects in cancer genomics and tumor evolution. Theyare expected to lead their own project, contribute to other projects on acollaborative basis (both within the lab and with external collaborators) andguide PhD students in their research. The ability to work in a team isessential.