Requirements: The ideal applicant would have a PhD in computational biology or bioinformatics with a strong publication track record and some experience in the areas of biological networks, next-generation sequencing, or high-dimensional cytometry. However, a non-biological background with strong training in another area of science (e.g., physics or CS) may be appropriate. He or she would be very skilled in programming and using computers to solve problems (e.g. experience with C/C++, R/matlab, python/perl, SQL, HTML/java, etc.).
Expectations: The postdoctoral scientist will work with clinicians and scientists within the Mount Sinai Health System, as well as other academic institutions across the United States to integrate large-scale data sets into predictive models for disease states and patient outcomes. The technical approaches used will emphasize data mining, machine learning, and data science.
This position is highly collaborative and applicants must be comfortable in a dynamic research environment comprised of students and staff from diverse backgrounds. He or she will be working under the institute leadership and mentorship of Dr. Joel Dudley.
- Provide a unified model and framework for understanding and exploring neurodegenerative disease.
- Discover new insights and ways to interpret existing data.
- Prepare research results for publication.
- Present at national meetings.
- Create a powerful community resource for continuous learning and discovery.
- Identify novel biomarkers to diagnosis and stratify patients.
- Make connections to comorbidity and wellness.
- Implement computational drug repurposing approaches.
Applicants are requested to send a CV that includes a list of publications and details of 3 references.
All inquiries regarding the position are welcome and can be sent to J.DudleyLab@gmail.com.
The Icahn School of Medicine at Mount Sinai is an Equal Opportunity/Affirmative Action Employer —Race/Gender/Disability/Veteran.