Institute for Next Generation Healthcare
Icahn School of Medicine at Mount Sinai

770 Lexington Avenue, 15th Floor
New York, NY 10065
Tel: 212-731-7065

Thank you. Your message has been sent, we will get back to you shortly.


Postdoctoral Fellow: Multiscale Biology of Neurodegenerative Disease

The Institute for Next Generation Healthcare at the Icahn School of Medicine at Mount Sinai is looking for post-docs to develop and apply computational methods that expand our understanding of neurodegenerative disease and enable new approaches to identify biomarkers and therapeutic options.

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.

 Primary responsibilities: 

  1. Provide a unified model and framework for understanding and exploring neurodegenerative disease.
  2. Discover new insights and ways to interpret existing data.
  3. Prepare research results for publication.
  4. Present at national meetings.
  5. Create a powerful community resource for continuous learning and discovery.
  6. Identify novel biomarkers to diagnosis and stratify patients.
  7. Make connections to comorbidity and wellness.
  8. 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

The Icahn School of Medicine at Mount Sinai is an Equal Opportunity/Affirmative Action Employer —Race/Gender/Disability/Veteran.

Show more

Post-doctoral Researcher in Liver Disease and Medical Informatics

The Department of Medicine, Division of Liver Diseases and the Institute for Next Generation Healthcare (INGH) at the Icahn School of Medicine at Mount Sinai have a joint two-year full-time position available immediately for a post-doctoral researcher. Applicants are requested to send a CV that includes a list of publications and details of 3 references.

This position will be to develop eMERGE algorithms and apply Natural Language of Progressing (NLP) algorithms a) to precisely define liver diseases including non-alcoholic steatohepatitis (NASH), alcoholic liver disease, and risk-stratified hepatitis C virus (HCV)-related disease, b) to identify patients who have these liver diseases, c) to investigate the impact of environmental and toxic exposures on liver disease prevalence and disease progression, and d) to proposed therapeutic options tailored to a patient’s phenotyping profile. The candidate will work with clinicians, other biomedical researchers, and data scientists within the INGH and Division of Liver Disease at Mount Sinai in a multidisciplinary environment.


  • Develop and apply Natural Language Processing (NLP) tools to extract data from free-text clinical notes.
  • Build tools and approaches for integrated big data analytics using various database sources, including EMR, the World Trade Center (WTC) data center, and publically-available (environmental) data.
  • Collaborate with scientists and clinicians on eMERGE algorithm development for liver diseases.
  • Develop and apply topological analysis methods for disease subtype stratification and patient profiling.
  • Identify opportunities for drug repurposing and delineate previously-unrecognized side effects of medications.
  • Propose and prototype novel algorithms and informatics solutions for predictive healthcare.
  • Create, identify and harden approaches using modern software tools for data analytic needs.
  • Support the data-related needs of clinical researchers and clinicians, e.g., querying and guiding the statistical analysis of clinical data.


  • The ideal applicant would have a PhD in computer science, computer engineering, computational biology or a related field.
  • Experience in algorithm and software development.
  • Experience in machine learning, NLP, data and text mining.
  • Facility with Python, Java, C++, R, or other programming languages.
  • Knowledge of relational databases, SQL (MySQL and Oracle preferred).
  • Work well on a multidisciplinary team.
  • Background with biological or medical concepts is highly preferred.
  • Excellent written and verbal communication skills.
  • Ability to handle multiple competing priorities in a fast-paced environment.

Applicants are requested to send a CV that includes a list of publications and details of 3 references.

Show more