Senior Data Scientist Immunotherapy Platform

UT MD Anderson · Houston, TX · 5 days ago

HybridEngineeringFull-time

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

Required: 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.

Required: 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.
Preferred: 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.

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.

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