Note: The job is a remote job and is open to candidates in USA. UT MD Anderson is a leading cancer care, research, education, and prevention institution. The Senior Data Scientist will lead computational biology analyses of multi-modal cancer datasets within the Immunotherapy Platform, uncovering mechanisms of tumor–immune interactions and therapeutic response. The role includes designing analytical workflows, collaborating with clinical and research teams, contributing to publications and grants, and advancing computational approaches in cancer immunotherapy.
Responsibilities
- Analyze high-dimensional biomedical datasets including single-cell RNA-seq, spatial transcriptomics (CosMx, Visium, CODEX), bulk RNA-seq, and clinical datasets
- Characterize tumor microenvironment, immune cell states, and cell–cell interactions
- Integrate multi-modal datasets including genomic, spatial, proteomic, and clinical data
- Develop reproducible and scalable analytical workflows
- Apply strong programming skills in Python and/or R to data processing and analysis
- Utilize public cancer datasets such as TCGA and GEO where appropriate
- Design and execute end-to-end computational analyses aligned with IMT research priorities
- Propose independent analytical strategies and hypotheses
- Collaborate with experimental and clinical teams to refine biological questions
- Develop reusable pipelines and analytical frameworks (e.g., GitHub)
- Contribute to cross-project standardization of analysis approaches
- Generate biologically meaningful insights from complex datasets
- Contribute to manuscripts with expectation of first or co-first authorship
- Support grant development through computational analysis and data interpretation
- Stay current with emerging computational biology methods and apply them to IMT datasets
Skills
- The ideal candidate will have computational experience
- Experience with multi-modal omics data, single-cell and spatial transcriptomics
- Experience in academic or healthcare environment
- Bachelor's Degree Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field
- Five years experience in scientific software or industry programming with a concentration in scientific computing. With master's degree, three years experience. With PhD, one year experience
- PhD Science, Engineering or related field
- Genomic experience
- Developing AI models
- Ability to independently lead projects
- Experience single-cell RNA-seq and/or spatial transcriptomics
- Experience in academic or healthcare environment
Benefits
- Professional growth through publication, grant involvement, and development of advanced computational expertise
- A balanced and supportive work environment
- Employer-paid medical coverage starting day one for employees working 30+ hours/week
- Optional group dental, vision, life, AD&D, and disability insurance
- Accruals for PTO and Extended Illness Bank
- Paid holidays, wellness, childcare, and other leave options
- Tuition Assistance Program after six months of service
- Access to extensive wellness and fitness programs
- Access to employee resource groups
- Defined-benefit pension through the Teachers Retirement System
- Voluntary retirement plans
- Employer-paid life and reduced salary protection programs
- Paid time off
- Educational opportunities
- Individual and team recognition
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