Developing sophisticated models of immune function is essential to advancing precision medicine due to the human immune system's adaptability and variability in response to disease and genetics.
Requirements
- Accepted or currently enrolled in a PhD program in Machine Learning, Statistics, Computer Science, Computational Biology or other related field.
- Skills analyzing large datasets including but not limited to large-scale learning, experimental design, and statistical modeling.
- Experience working with complex biological datasets.
Responsibilities
- Build large-scale models of immune responses and immune cells
- Integrate statistical modeling and machine learning (ML) techniques such as representation learning, survival analysis, causal inference and generative modeling
- Combine statistical modeling and advanced ML techniques with deep biological insights
- Develop original research agendas
- Analyze large datasets including but not limited to large-scale learning, experimental design, and statistical modeling
- Work with complex biological datasets
Other
- Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship.
- In addition to the qualifications below, you’ll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples.
- Ability to develop original research agendas demonstrated by strong publication record as a lead author.
- Able to collaborate and communicate across disciplines as part of a cross-functional team.
