Note: The job is a remote job and is open to candidates in USA. UT MD Anderson is a leading institution focused on cancer care, research, education, and prevention. The Senior Data Scientist (Data Infrastructure & Engineering) plays a critical role within the Immunotherapy Platform, supporting multi-modal cancer research through the development of scalable and robust data systems.
Responsibilities
- Design and implement biomedical data systems for multi-modal datasets including genomic, single-cell, spatial, proteomic, and clinical data
- Develop and maintain an internal data registry and metadata tracking systems
- Design databases and data models using SQL/NoSQL technologies, schema design, and APIs
- Harmonize and standardize data across datasets and platforms
- Develop pipelines for data ingestion, transformation, and integration using ETL/ELT processes
- Utilize workflow orchestration tools such as Nextflow and Snakemake
- Apply strong programming skills in Python, with R as a plus
- Leverage HPC and/or cloud-based environments for scalable processing
- Implement version control and reproducible workflows using Git and container technologies
- Enable lightweight data access and integration with visualization tools or internal data portals
- Design and implement a centralized internal data system for IMT
- Develop and enforce standardized data schemas across modalities
- Enable efficient querying, access, and reuse of datasets
- Collaborate with computational scientists to support analysis and modeling workflows
- Optimize data pipelines to improve scalability and reduce turnaround time
- Establish best practices for data governance, documentation, and reproducibility
- Support development of internal data access interfaces such as portals or dashboards
- Support integration of multi-modal datasets for downstream analysis
- Enable data structures compatible with AI and machine learning workflows
- Collaborate with research teams to translate analytical needs into scalable systems
- Evaluate and adopt emerging tools and standards in biomedical data infrastructure
- Contribute to publications through development of computational workflows and systems
- Other duties as assigned
Skills
- Bachelor's Degree Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field
- Master's Degree Science, Engineering or related field
- PhD Science, Engineering 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
- Experience working with biomedical or genomics data in healthcare or academic environment
- Experience with AI models
- Experience computational pipelines
- Experience supporting research or analytical teams
Benefits
- 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.
- 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.
- Referral Bonus Available?
- Relocation Assistance Available?
Company Overview
Company H1B Sponsorship