Strength Through Diversity
Ground breaking science. Advancing medicine. Healing made personal.
We are inviting applications for a
This position will be in the lab of Dr. Benjamin Glicksberg housed in the newly formed Hasso Plattner Institute of Digital Health a Mount Sinai (HPIMS; https://icahn.mssm.edu/research/hpims) in the Icahn School of Medicine at Mount Sinai in Manhattan, New York, NY, USA. HPIMS has a vested interested in using advanced data science methodologies on large-scale health data to push forward precision medicine.
The main focus of this work will be to design and perform robust, large-scale retrospective analysis of EHR data, as well as claims databases, for high-impact clinical questions. The overarching theme of this work will involve transforming real world data into evidence, which may include supportive data for regulatory decisions. Some key questions include relating surgical procedures or medication prescriptions with outcomes; disentangling phenotype risk factors by modality (i.e., contribution of environment) and background (i.e., race/ethnicity); comparative effectiveness; cost-benefit analysis; and quantifying disease risk based on interventions. These questions span many clinical domains, including cardiology, psychiatry, and neurodegenerative diseases.
The candidate will have the opportunity to work with unparalleled data and computational resources. Data resources include (a) Access to >8 million patient EHR in the Mount Sinai Data Warehouse
(b) The BioMe Biobank Program with >30,000 patients with whole exome sequencing data linked to longitudinal clinical data (https://icahn.mssm.edu/research/ipm/programs/biome-biobank); (c) High-performance computing cluster as well as internal servers; and (d) various types of imaging data (e.g., MRI, x-ray). The candidates will have the opportunity to develop their own research projects and to lead or participate in local as well as international collaborations.
The postdoctoral fellow will join a dynamic team of data scientists, computer scientists, geneticists, and clinicians and participate in unique opportunities perform large-scale epidemiological surveys using unique data resources with the goal to directly impact patients’ lives.
The ideal candidates will have the following background:
1. PhD, MD, or MD/PhD in a quantitative science-related field (e.g., biostatistics, epidemiology, biomedical informatics, clinical informatics, etc.).
2. Formal statistics or epidemiological training particularly within the clinical realm. Should have familiarity with common biostatistical frameworks such as predictive modeling, survival analyses, etc.
3. Prior research using electronic health records or claims data sources preferred. Should have familiarity with limitations and biases of such data (i.e., non-random missigness) as well as techniques on how to address them.
4.Expertise with programming and statistical software experience in R and/or Python.
5.Excellent publication track record.
6.Strong communication and presentation skills with fluency in spoken and written English.
To apply, please submit a CV, brief cover letter along with two letters of reference to email@example.com
Information on the Postdoctoral Training Program at Mount Sinai: http://icahn.mssm.edu/education/postdoctoral-training. To learn more about the Icahn School of Medicine at Mount Sinai: http://icahn.mssm.edu. Incoming postdoctoral fellows are eligible for affordable Mount Sinai Housing within walking distance of the medical school and of a wide range of amenities as well as visa sponsorship on a case-by-case basis.
About Our Organization: The Icahn School of Medicine at Mount Sinai is internationally recognized as a leader in groundbreaking clinical and basic science research and is known for its innovative approach to medical education. With a faculty of more than 3,400 in 38 clinical and basic science departments and centers, Mount Sinai ranks among the top 20 medical schools in receipt of National Institutes of Health grants. In its 2015 "America’s Best Graduate Schools" issue, U.S. News & World Report ranks the Icahn School of Medicine 14th out of 130 medical schools nationwide. Mount Sinai Medical Center is an equal opportunity/affirmative action employer. We recognize the power and importance of a diverse employee population and strongly encourage applicants with various experiences and backgrounds. Mount Sinai Medical Center--An EEO/AA-D/V Employer.
Keywords: Biostatistics, epidemiology, retrospective analysis, data science, clinical informatics, bioinformatics, big data, health outcomes, FDA, computational biology, computer science, personalized medicine, time series, causal inference, electronic health records, electronic medical records, randomized control trials, predictive modeling, precision medicine, data mining
- The ideal applicant would have a doctorate level degree (PhD, MD, or MD/PhD) in clinical informatics, data science, or bioinformatics. However, a non-biological background with strong training in another area of data science, particularly statistics, epidemiology, computer science, physics, or mathematics may be appropriate. All candidates should have strong publication track record and experience with Electronic Health Records research. Experience with Common Data Models, such as OMOP CDM from OHDSI, is an advantage.