Postdoc: Cancer Genomics, Single-Cell & Multi-Omic Research

University of Texas MD Anderson Cancer Center; Houston (TX); On-site; USD 64,000 - 76,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Paid time off

Retirement benefits

Tuition benefits

Job summary

A leading cancer research institution in Houston seeks a highly motivated postdoctoral fellow in bioinformatics to analyze multi-omic sequencing data and develop computational methods. This position involves collaborating with clinicians and mentoring students. Ideal candidates should have a Ph.D. and proficiency in R or Python with experience in cancer genomics. The role offers a salary between $64,000 and $76,000, along with excellent benefits, and supports the research on cancer mechanisms and therapeutic targets.

Qualifications

• Ph.D. in bioinformatics, computational biology, statistics, computer science, or related field.
• Minimum one year of experience in computational biology or cancer genomics.
• At least one first-author peer-reviewed publication.

Responsibilities

• Analyze next-generation sequencing (NGS) data including Bulk DNA-seq and RNA-seq.
• Develop computational methods for multi-omic and single-cell data.
• Mentor graduate and undergraduate students.

Skills

Proficiency in R or Python

Statistical modeling expertise

Strong analytical skills

Experience with high-performance computing

Cancer biology background

Education

Ph.D. in bioinformatics or related field

Tools

Cloud computing (e.g., HPC, AWS, GCP)

Job description

A leading cancer research institution in Houston seeks a highly motivated postdoctoral fellow in bioinformatics to analyze multi-omic sequencing data and develop computational methods. This position involves collaborating with clinicians and mentoring students. Ideal candidates should have a Ph.D. and proficiency in R or Python with experience in cancer genomics. The role offers a salary between $64,000 and $76,000, along with excellent benefits, and supports the research on cancer mechanisms and therapeutic targets.