Computational Biologist

The primary purpose of this position is to develop and apply advanced computational and statistical methods for high-dimensional genomic and multi-omics data in Professor Wenyi Wang's lab in the Department of Bioinformatics and Computational Biology, providing reproducible analyses and tools that directly support the lab's research goals.

The ideal candidate will hold a master's degree and possess strong expertise in machine learning, computational biology or bioinformatics.

What We Offer?

• Employer-paid medical coverage starting day one for employees working 30+ hours/week, plus optional group dental, vision, life, AD&D, and disability insurance.
• Accruals for PTO and Extended Illness Bank, plus paid holidays, wellness, childcare, and other leave options.
• Tuition Assistance Program after six months of service and access to extensive wellness, fitness, and employee resource groups.
• Defined-benefit pension through the Teachers Retirement System, voluntary retirement plans, and employer-paid life and reduced salary protection programs.
  
  

JOB SPECIFIC COMPETENCIES

Bioinformatics And Computational Analysis

• Analyze high-dimensional genomic, transcriptomic, and other molecular datasets (e.g., WGS/WES, RNA-seq, scRNA-seq).
• Perform data curation and QC, alignment, variant and copy-number calling, expression quantification, downstream statistical analyses, and visualization.
• Review relevant literature, interpret findings in context, and recommend analytical approaches or follow-up studies.
  
  

  Looking to advance your Data Science career with relocation support? Explore Data Science Jobs with Relocation Packages that include comprehensive packages to help you move and settle in your new role.

Pipeline Development And Automation

• Design, implement, and maintain reproducible NGS and multi-omics pipelines using Python, R, and workflow tools (e.g., Snakemake, Nextflow, shell scripts) on HPC systems.
• Automate routine analyses, monitor pipeline performance, and handle error logging and recovery.
• Apply best practices for version control, documentation, data integrity, and reproducibility.
  
  

Collaboration And Scientific Support

• Work closely with investigators, clinicians, and lab members to define analytical needs, interpret results, and provide computational support.
• Participate in project meetings and communicate analytical findings to multidisciplinary research teams.
  
  

Documentation And Reporting

• Prepare analysis reports, workflow documentation, figures, tables, and other materials as needed for grants, manuscripts, and presentations.
• Ensure clarity, completeness, and reproducibility of all analytical deliverables.Other duties as assigned.
  
  

Education

Required: Bachelor's Degree Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field.

Preferred: Master's Degree in a related field.

Experience

Required: None.

Preferred: Machine Learning, Computational, Bioinformatics, PyTorch experience.

The University of Texas MD Anderson Cancer Center offers excellent benefits , including medical, dental, paid time off , retirement , tuition benefits, educational opportunities, and individual and team recognition.

This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.

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. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html

Additional Information

• Requisition ID: 179475
• Employment Status: Full-Time
• Employee Status: Regular
• Work Week: Days
• Minimum Salary: US Dollar (USD) 68,500
• Midpoint Salary: US Dollar (USD) 85,500
• Maximum Salary : US Dollar (USD) 102,500
• FLSA: exempt and not eligible for overtime pay
• Fund Type: Soft
• Work Location: Onsite
• Pivotal Position: Yes
• Referral Bonus Available?: Yes
• Relocation Assistance Available?: Yes