The Windreich Dept. of AI & Human Health at Mount Sinai is inviting applications for a Postdoctoral Research Fellowship position in the novel field of multi-modal healthcare data. With training in biomedical informatics and data science, and experience in building machine learning pipelines with biomedical data, this individual will focus all research efforts on the proposed project. The postdoctoral researcher will work on study, implementation, and evaluation of novel machine learning methods to process multi-modal healthcare data for clinical discovery. They will also be responsible for writing scientific manuscripts related to the novel tools and findings produced by the proposed project. The Postdoctoral Fellow will join a dynamic team of data scientists and clinicians and participate in unique opportunities to apply machine learning for important scientific breakthroughs and to directly impact patients’ lives in a clinical setting.
This position will be in the lab of Thomas J. Fuchs, Dr. Sc. housed in the Hasso Plattner Institute for Digital Health at Mount Sinai (HPI.MS) in the Windreich Department of AI and Human Health at the Icahn School of Medicine at Mount Sinai in Manhattan, New York, NY, USA. HPI.MS has a vested interest in using advanced data science methodologies on large-scale health data to push forward precision medicine.
Essential Duties and Responsibilities:
Building training/inference pipelines for large-scale experiments on HPC clusters
Develop and apply quantitative methods for the analysis of digital microscopy slides
Development of novel histology-based computational biomarkers
Predictive modeling for disease outcomes and personalized therapeutic recommendations
Working with common data model EHR standards (e.g., OMOP)
Multi-modal (e.g., genomics, imaging, and clinical data) deep learning for clinical decision support
Training embedding models via self-supervision
Leveraging unsupervised learning to discover biologically-relevant disease subtypes
Transforming real-world data to real-world evidence for supporting regulatory decisions
Data and Resources
The candidate will have the opportunity to work with unparalleled data and computational resources. Data resources include:
The digital pathology archive with >1 million de-identified whole slide images
>10 million patient EHR in the Mount Sinai Data Warehouse
Raw waveform electrocardiogram data for over 2 million patients and 9 million scans
Free-text clinical notes (over 60 million notes)
The Imaging Research Warehouse with >5 million radiology images
High-performance computing cluster as well as internal servers
Education & Experience Requirements:
PhD, MD, or MD/PhD in a quantitative science-related field (e.g., biomedical informatics, clinical informatics, machine learning, biostatistics, genetics, etc.)
Significant experience in machine learning techniques is required, ideally with published work and/or code available. Expertise with deep learning frameworks is preferred (e.g.,, Tensorflow, PyTorch, Keras). Experience with computational pathology, large vision models (CNNs, vision transformers), multi-GPU multi-node training, and federated learning strongly encouraged
Expertise with programming and statistical software experience in Python and/or R
Experience working on an HPC cluster is encouraged
Excellent publication track record including conference papers and preprints (e.g., arxiv)
Strong communication and presentation skills with fluency in spoken and written English
Strength Through Diversity
The Mount Sinai Health System believes that diversity, equity, and inclusion are key drivers for excellence. We share a common devotion to delivering exceptional patient care. When you join us, you become a part of Mount Sinai’s unrivaled record of achievement, education, and advancement as we revolutionize medicine together. We invite you to participate actively as a part of the Mount Sinai Health System team by:
Using a lens of equity in all aspects of patient care delivery, education, and research to promote policies and practices to allow opportunities for all to thrive and reach their potential.
Serving as a role model confronting racist, sexist, or other inappropriate actions by speaking up, challenging exclusionary organizational practices, and standing side-by-side in support of colleagues who experience discrimination.
Inspiring and fostering an environment of anti-racist behaviors among and between departments and co-workers.
We work hard to acquire and retain the best people and to create an inclusive, welcoming and nurturing work environment where all feel they are valued, belong, and are able to professionally advance. We share the belief that all employees, regardless of job title or expertise, contribute to the patient experience and quality of patient care.
Explore more about this opportunity and how you can help us write a new chapter in our history!
Who We Are
Over 42,000 employees strong, the mission of the Mount Sinai Health System is to provide compassionate patient care with seamless coordination and to advance medicine through unrivaled education, research, and outreach in the many diverse communities we serve.
Formed in September 2013, The Mount Sinai Health System combines the excellence of the Icahn School of Medicine at Mount Sinai with seven premier hospitals, including Mount Sinai Beth Israel, Mount Sinai Brooklyn, The Mount Sinai Hospital, Mount Sinai Queens, Mount Sinai West (formerly Mount Sinai Roosevelt), Mount Sinai Morningside (formerly Mount Sinai St. Luke’s), and New York Eye and Ear Infirmary of Mount Sinai.
The Mount Sinai Health System (MSHS) provides equal employment opportunity to all its employees and applicants for employment without unlawful discrimination on the basis of their actual or perceived race, creed, color, religion, national origin, sex, gender, gender expression, gender identity, age, disability, marital or parental status, sexual orientation, veteran, immigration, citizenship, or other protected status.
EOE including Veterans and Disabled
The Mount Sinai Health System (MSHS) provides a salary range to comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $58,661.00 - $60,788.00 Annually. Actual salaries depend on a variety of factors, including experience, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.