Komen Graduate Training Program UT MDACC ยท 23 hours ago
Associate Data Scientist - Gynecologic Oncology
Komen Graduate Training Program at UT MDACC is seeking an Associate Data Scientist in Gynecologic Oncology. The role involves computational analysis, pipeline development, and collaboration with biologists to analyze complex datasets related to gynecologic cancers.
Hospital & Health Care
Responsibilities
Computational Analysis & Pipeline Development
Assist in the analysis, design and development of pipelines, algorithms and software for the analysis, exploration, and visualization of data generated using exome/whole genome sequencing, RNA-seq, ChIP-seq, ATAC-sequencing, chromatin conformation capture sequencing (e.g. Hi-C and similar methods) and spatial transcriptomics in a timely fashion
Apply statistical and machine learning techniques to derive insights from complex, high-dimensional datasets, including in-house and public data (e.g., TCGA, CCLE, GTEx, GEO)
Run workflows for somatic mutation calling, copy number analysis, transcriptional profiling, clonality estimation, and mutational phylogeny inference on matched tumor/normal and longitudinal samples
Run workflows for protein and metabolites analyses and integrate these datasets with abovementioned transcriptomics profiles
Independently plan and adapt novel computational approaches to support evolving research needs and emerging experimental technologies in genomics, spatial, and single-cell omics
Workflow Development, Data Management & Reproducibility
With direction, develops and maintains bioinformatics tools and infrastructure using Python, R, Docker, Conda and other tools; create well-organized, reusable, and user-friendly workflows to support lab-wide analyses
Generate custom visualizations and perform downstream analyses including gene expression profiling, mutation analysis, gene set enrichment, pathway analysis, protein and metabolomic analyses
Ensure reproducibility and transparency by organizing data, documenting code, version-controlling pipelines, and maintaining clear scientific records in notebooks and shared repositories
Contribute to the implementation of robust data stewardship practices and help maintain a scalable, collaborative analysis environment leveraging high-performance computing (HPC) systems
Collaboration, Communication & Scientific Engagement
Collaborate with experimental biologists, wet lab members, data scientists, and cross-functional institutional teams to integrate omics data with biological and clinical datasets and harmonize metadata across studies
Assist with the preparation of manuscripts, figures, abstracts, grant proposals, and internal reports as well as for presentation at lab meetings, departmental reviews, and institutional events
Communicate complex analytical findings effectively to both technical and non-technical audiences through presentations, visual summaries, and written reports
Conduct literature reviews and stay current with emerging tools and trends in genomics, computational biology, and biomedical data science to inform pipeline development and project planning
Support mentoring and onboarding of students, fellows, and research personnel by contributing to training in computational methods and analytical workflows
Performs other duties as assigned
Qualification
Required
Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field
Two years experience in scientific software or industry development/analysis
Preferred
Experience in analyzing spatial biology datasets (proteomics, metabolomic and transcriptomics)
Benefits
Medical
Dental
Paid time off
Retirement
Tuition benefits
Educational opportunities
Individual and team recognition
Company
Komen Graduate Training Program UT MDACC
Through generous funding from Susan G.
H1B Sponsorship
Komen Graduate Training Program UT MDACC has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2021 (1)
Funding
Current Stage
Early StageCompany data provided by crunchbase