The Knight Initiative for Brain Resilience is dedicated to accelerating the fundamental understanding of the aging brain, including the biological causes of neurodegeneration and strategies to enhance brain resilience throughout the lifespan. Our diverse community includes world-class faculty, students, staff, and administrators working together to advance cutting-edge neuroscience research. We are committed to developing innovative solutions for brain aging, neurodegeneration, and dementia.
Open Positions
Current Openings
Position Summary: We are seeking a highly motivated and skilled Postdoctoral Fellow to join our Brain Resilience Lab at Stanford University. Anchored in the Wu Tsai Neurosciences Institute and the Office of the Dean of Research, the Knight Initiative for Brain Resilience is a cross-disciplinary scientific endeavor aimed at addressing neurodegeneration, aging, and brain resilience. The successful candidate will possess strong computational skills and a willingness to work in the lab, leading a project focused on the fundamental understanding of the aging brain, neurodegeneration, and brain resilience.
Core Responsibilities:
- Lead and manage a research project focused on brain resilience and neurodegeneration.
- Collect, manage, and analyze large sets of multi-omics data with a focus on human and non-human primate brain aging.
- Develop and implement data analysis pipelines and workflows.
- Generate visualizations and reports, and contribute to the development of predictive models and algorithms.
- Work closely with the research team to identify patterns and correlations in the data related to brain aging.
- Collaborate with faculty, research staff, and various stakeholders on data collection and analysis methods.
- Communicate research findings through publications and presentations.
- Mentor junior researchers and contribute to the lab’s educational mission.
Qualifications
- PhD in Neuroscience, Bioinformatics, Computational Biology, or a related field.
- Strong computational skills, including proficiency in programming languages (e.g., Python, R).
- Experience with applying various ML algorithms and generative AI models to genomics data
- Experience with data management systems and visualization tools.
- Proven track record in managing and analyzing large datasets.
- Excellent communication and presentation skills.
- Ability to work independently and as part of a collaborative team.
- Strong organizational skills and attention to detail.
- Experience in experimental neuroscience research is highly desirable.
Application Instructions: To apply, please submit a cover letter, CV, and contact information for three references to isakova@stanford.edu. In your cover letter, please describe your research interests and how they align with the mission of the Knight Initiative for Brain Resilience.
Join us in our mission to advance the understanding of brain resilience and contribute to innovative solutions for neurodegenerative diseases. We look forward to welcoming a new member to our dedicated and dynamic team.