Senior Data Scientist, Mineral Metabolism Research

The University of Texas Southwestern Medical Center; Dallas (TX); Vor Ort; USD 130.000 - 155.000; Vollzeit

Benefits dieser Stelle

PPO medical plan

Paid Time Off

Tuition Reimbursement

On-site childcare

Zusammenfassung

The University of Texas Southwestern Medical Center in Dallas, TX is seeking a Data Scientist III in the Levi Lab to lead complex biomedical analyses and develop scalable analytics pipelines for translational research. You will collaborate with clinicians and scientists to integrate multiomic datasets, apply advanced statistics and machine learning, and produce publication-ready figures and manuscripts.

This senior role requires independent leadership across studies, rigorous validation, and

Qualifikationen

• PhD or equivalent in data science, biostatistics, bioinformatics, computational biology, or related quantitative field.
• Proven ability to lead complex biomedical data analyses and develop reproducible pipelines.
• Experience with single-cell or spatial transcriptomics and multiple omics modalities.

Aufgaben

• Lead computational analyses across multiomic datasets, from study design to biological interpretation.
• Develop scalable, reproducible analysis pipelines in R and Python.
• Present findings with publication-ready figures and manuscripts.

Kenntnisse

Data science

Biostatistics

Computational biology

Software development

Scientific visualization

Single-cell transcriptomics

Bulk transcriptomics

Spatial omics

Machine learning

R

Python

Linux

Git

HPC

Cloud computing

Ausbildung

PhD in data science, biostatistics, bioinformatics, computational biology, or related field

MS in Computer Science, Bioinformatics, or related field

BS with demonstrated experience in broadly defined areas of bioinformatics

Tools

R

Python

Linux

Shell scripting

Git

HPC

Cloud computing

Jobbeschreibung

The University of Texas Southwestern Medical Center in Dallas, TX is seeking a Data Scientist III in the Levi Lab to lead complex biomedical analyses and develop scalable analytics pipelines for translational research. You will collaborate with clinicians and scientists to integrate multiomic datasets, apply advanced statistics and machine learning, and produce publication-ready figures and manuscripts.

This senior role requires independent leadership across studies, rigorous validation, and