Data Science Intern, Hematology/Oncology Research
About The Position
The Dries Lab is looking for a motivated computational scientist to join our lab and take a leading role in the analysis of large-scale spatial single-cell transcriptomics data of pancreatic neuroendocrine tumors. The successful candidate will work with multi-sample 10x Genomics Xenium datasets, developing and applying scalable analysis pipelines for data processing, integration, and interpretation. We are looking for a motivated computational scientist to join our lab and take a leading role in the analysis of large-scale spatial single-cell transcriptomics data of pancreatic neuroendocrine tumors. The successful candidate will work with multi-sample 10x Genomics Xenium datasets, developing and applying scalable analysis pipelines for data processing, integration, and interpretation.
Requirements
- Recent college graduate or student enrolled in a related graduate or undergraduate degree program, preferably beyond a second semester junior.
- The ideal candidate has a strong background in single-cell or spatial transcriptomics analysis, is proficient in R and is comfortable working with large datasets.
Nice To Haves
- Experience with machine/deep learning or probabilistic classification methods is a plus.
Responsibilities
- A central focus of the role will be the design and implementation of an improved cell type classification framework, leveraging state-of-the-art machine learning approaches and reference datasets to achieve robust, reproducible annotations across samples and experimental conditions.
Benefits
- Competitive pay
- Tuition reimbursement and tuition remission programs
- Highly subsidized medical, dental, and vision insurance options
- Career Advancement/Professional Development: Access a wealth of ongoing training and development opportunities that will not only enhance your skills but also expand your knowledge base especially for individuals pursuing careers in medicine or biomedical research.
- Pioneering Research: Engage in groundbreaking research projects that are driving the forefront of biomedical science.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
No Education Listed
Number of Employees
501-1,000 employees
