Computer Vision Postdoc Jobs in New York (NOW HIRING)

Roles & Responsibilities:

At the Icahn Institute, our vision is to transform biomedical research and healthcare delivery into a data-driven, evidence-based, patient-tailored discipline. The Icahn Institute was founded in 2011 to help advance precision medicine with cutting-edge technologies, novel partnerships between the public and private sectors, and world class computational and analytical resources. By maximally leveraging information from patients around the world, we deliver premier precision care optimized for each patient, while discovering breakthrough, next-generation treatments through insights derived from cutting-edge analytics applied to unprecedented amounts of patient-derived data. We promote a core set of values - designed to promote our future vision of team-oriented, data driven global biomedical research: 1) Do good for the patient, 2) Simplify, 3) Share openly, 4) Focus, 5) Synergize, 6) Contributions, not politics, and 7) Deliver.
What You'll Do:
Postdoc fellows may work on many of the cutting-edge research areas at Mount Sinai, including:
Analyzing high dimensional molecular profiles including but not constraint to DNA/RNA sequencing, epigenetic, proteomics, and microbiome data;
Analyzing massive electronic medical record data;
Analyzing irregular time course data from mobile health studies;
Scalable machine-learning/deep-learning methodology research with application to biomedical data.
Mediation and causal-inference methodology research with application to medical/clinical-trial studies.
The ideal candidate will have strong analytical and programming proficiencies and proven expertise in high-dimensional data analysis.
Duties and 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 

Requirements:

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 is a plus

Strength through Unity and Inclusion

The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai's unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.

At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.

About the Mount Sinai Health System:

Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time - discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients' medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report's "Best Children's Hospitals" ranks Mount Sinai Kravis Children's Hospital among the country's best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek's "The World's Best Smart Hospitals" ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.

Equal Opportunity Employer

The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

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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 is a plus
 

Compensation Statement

The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for this role is $72,500.00 - $80,000.00 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

Non-Bargaining Unit, 816 - Genetics/Genomic Sci - ISM, Icahn School of Medicine

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