Control Engineer Postdoc Jobs in New York (NOW HIRING)

Roles & Responsibilities:

We are inviting applications for a Postdoctoral Research Fellowship position in large scale data science, biostatistics, and multi-omics modeling with a specific interest in complex human diseases. This work will have a particular focus on the phenotypic causal relationships research with the newly founded Mount Sinai Clinical Intelligence Center and the division of Data Driven and Digital Medicine. This post-doc will have the opportunity to work not only within our hospital network but also with several large consortia, with access to millions of patient electronic medical record data, large-scale whole-genome and exome-scale data on patients linked to medical record data, and deeply molecularly profiled patient and control populations specific to the diseases of interest.
Background: This position will be in the lab of Dr. Noam Beckmann, in the Department of Medicine in the Icahn School of Medicine at Mount Sinai in Manhattan, New York, NY, USA.
The main focus of this work will be to design and perform robust, large-scale analyses of longitudinal multi-omics and clinical data generated on populations of individuals to identify key regulatory components and mechanisms of complex biological processes and associated diseases and conditions, through advanced modeling of human diseases and wellness. Our lab has a large network of collaborations with both clinical and data generation groups working on these diseases as well as patient cohorts. We also have access to large longitudinal datasets spanning many omics dimensions (i.e. genetic, transcriptomic [bulk and single-cell], epigenomic, proteomic and metabolomic data) with some of these having longitudinal components.
Data and Resources
The candidate will have the opportunity to work with multi-scale data and large computational resources. Among these, access to BioMe biobank datasets as well as to institutional high-performance computing cluster and lab servers.
The postdoctoral fellow will join a dynamic team of data scientists, computer scientists, geneticists, and clinicians and participate in unique opportunities to perform large multi-scale modeling of longitudinal phenotypes in the biobank to derive novel biological insights. 

Requirements:

The ideal candidates will have some or most of the following background:
1. PhD, MD, or MD/PhD in a quantitative science or related field (e.g., statistical genetics, computational genomics, biostatistics, systems biology, mathematics, physics, computer science, etc.)
2. Statistics or systems biology training, including an interest in common biostatistical and machine learning frameworks such as predictive modeling, linear modeling, network modeling, and construction of robust classifiers of disease, disease conditions, resilience, and other clinical and molecular characteristics of interest.
3. Expertise with programming and statistical software experience in R and/or Python. Additional programming languages are a plus.
4. Strong publication track record.
5. Strong communication and presentation skills with fluency in spoken and written English.
6. Prior research experience with large scale omics analyses 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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The ideal candidates will have some or most of the following background:
1. PhD, MD, or MD/PhD in a quantitative science or related field (e.g., statistical genetics, computational genomics, biostatistics, systems biology, mathematics, physics, computer science, etc.)
2. Statistics or systems biology training, including an interest in common biostatistical and machine learning frameworks such as predictive modeling, linear modeling, network modeling, and construction of robust classifiers of disease, disease conditions, resilience, and other clinical and molecular characteristics of interest. 
3. Expertise with programming and statistical software experience in R and/or Python. Additional programming languages are a plus.
4. Strong publication track record.
5. Strong communication and presentation skills with fluency in spoken and written English. 
6. Prior research experience with large scale omics analyses 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, J17 - Data Driven and Digital Medicine - ISM, Icahn School of Medicine

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