Description
Job Description
Data Scientist 1 will be responsible for developing and enhancing machine learning products. They will collaborate with a multidisciplinary team of engineers and clinicians to address a wide range of issues related to clinical effectiveness and process improvement. This position will apply scientific rigor and statistical methods to the challenges of product development and enhancement, while considering the behaviors of the end user.
The AIMS Lab at the Icahn School of Medicine at Mount Sinai seeks a highly skilled Data Scientist to join our team within the Windreich Department of Artificial Intelligence and Human Health. This position offers an exceptional opportunity to advance the state-of-the-art in clinical informatics by developing novel algorithms for electronic health records analysis, with a focus on advanced phenotyping and information retrieval.
The successful candidate will leverage expertise in deep learning, statistical mechanics, and graph neural networks to build innovative computational solutions that address critical challenges in biomedical data science. This role is ideal for a researcher passionate about translating cutting-edge deep learning techniques into impactful clinical applications.
Responsibilities
- Design, develop, and implement advanced deep learning algorithms for electronic health records (EHR) analysis, with emphasis on patient phenotyping and information retrieval
- Apply graph neural networks to model complex relationships within clinical data and healthcare networks
- Utilize deep learning frameworks (TensorFlow, PyTorch) to build scalable and robust predictive models
- Integrate principles of statistical mechanics into algorithm development for enhanced modeling of complex physiological systems
- Collaborate with clinical researchers, physicians, and interdisciplinary teams to translate algorithmic innovations into clinically meaningful applications
- Conduct rigorous validation and evaluation of developed algorithms using appropriate statistical methods
- Contribute to scientific publications and present research findings at academic conferences
- Maintain comprehensive documentation of methodologies, code, and experimental results
- Stay current with emerging trends in machine learning, clinical informatics, and computational healthcare
Qualifications
- Master's degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Information Technology, Mathematics, Physics) or equivalent practical experience.
- 2 years of work experience in data science, software engineering, or data analysis
- Experience with at least one programming language among Scala, Python, Java, C, or C++.
- Experience with database languages (e.g., SQL, NoSQL)
- Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP)
- Experience with version control systems (e.g., Git)
- Knowledge of big data technologies (e.g., Hadoop, Spark)
- Self-motivated with a demonstrated ability to work independently, and to exercise independent judgment in developing complex techniques or programs in a dynamic environment.
Preferred Qualifications
- Experience working with electronic health records data and clinical databases
- Knowledge of healthcare data standards (FHIR, OMOP, ICD, SNOMED-CT)
- Familiarity with clinical phenotyping methodologies and natural language processing for clinical text
- Experience with distributed computing and cloud platforms (AWS, Google Cloud, Azure)
- Publications in peer-reviewed journals or conferences in machine learning, computational biology, or medical informatics
- Experience with version control systems (Git) and collaborative software development practices
Employer Description
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.
Compensation
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 the role is $109000 - $163695 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.
