The Mount Sinai Health System is an integrated health care system providing exceptional medical care to their local and global communities. The Postdoctoral Fellow will analyze high dimensional molecular profiles, massive electronic medical record data, and engage in scalable machine-learning research to advance precision medicine.
Responsibilities
Develop and use computational techniques to analyze large-scale biomedical datasets.
Develop and implement proper statistical/computational models;
Develop and implement proper data visualization tools;
Perform rigorous and reproducible data analyses;
Identify and resolve technical issues and propose upgrades to current software;
Take the lead in manuscripts preparation and facilitate grant writing;
Collaborate with researches from other disciplines;
Participate scientific conferences and present research works;
Other technical and leadership duties as assigned and commensurate with experience and skills.
Qualification
Required
Ph.D. in Computer Science, Bioinformatics, Statistics, Computational Biology, or other relevant quantitative discipline.
Good organization and communication skills, with demonstrated ability to productively work as a member of a team.
Demonstrate outstanding scientific writing skills and experience.
Experience in data science, machine learning, statistical modeling, genomic analysis, or other relevant analytical field.
Experience in programming environments such as R, Matlab, SAS, Stata, Python/Jupyter.
Working experience with genetics or statistics analysis and online resources or other biomedical data analysis.
Preferred
Benefits
The Mount Sinai Health System is an integrated health care system providing exceptional medical care to their local and global communities.