Boston, Massachusetts
Cambridge, Massachusetts
Northern & Central California, California
Work Remote,
New York, New York
California
New Orleans, Louisiana
Boston, Massachusetts
Posted: 17-Mar-23
Location: Boston, Massachusetts
Salary: Open
Internal Number: 2023-33661
We are thrilled to offer a unique position for a highly motivated student to join our team at the Molecular Imaging Core at the Dana-Farber Cancer Institute as an early career researcher upon graduation. This role is an excellent entry point for anyone who is passionate about spatial multiomics data analysis and interested in graduate school in biomedical research. As a computational analyst, you will work closely with a team of talented biologists in a collaborative and supportive environment. This position provides a platform to work with cutting-edge technologies and contribute to the understanding of complex biological systems. We encourage all qualified candidates to apply and look forward to hearing from you!
As a core Data Technician, you will be learning the following skills:
- Implement pipelines for processing, analyzing and interpreting spatial multiomics data, including single-cell quantification, gene expression quantification, and spatial analysis.
- Work with large and complex imaging data sets, utilizing various machine learning, mathematic models, and other data analysis techniques to derive insights and make data-driven decisions.
- Collaborate with other researchers and biologists to develop solutions that can improve our understanding of tumor microenvironment and cell-cell interactions.
- Participate in the development of new spatial single-cell imaging data analysis techniques and software tools to improve data analysis speed and quality.
- Communicate results and findings to various stakeholders, including researchers, biologists, and management team.
- Completed Bachelor's Degree in a relevant field such as bioinformatics, math, physics, or computer science.
- Proficiency in R or Python.
- Excellent communication skills, with the ability to work collaboratively with researchers and biologists.
- Strong problem-solving skills and attention to detail.
- Ability to work independently, with a high level of self-motivation.
