Data Engineer II - Artificial Intelligence & Human Health Research

Key Skills

Aartificial intelligence, Biostatistics, CNNs, Data Engineering, Data science techniques, Deep Learning, Genetics, High performance computing- HPC, Keras software library, Machine learning techniques, Python Programming, PyTorch, R Programming, TensorFlow

Job Description

Roles & Responsibilities:

The Thomas Fuchs Lab at the Windreich Dept. of AI & Human Health at Mount Sinai is inviting applications for a Data Engineer position in the novel field of computational pathology using supervised, weakly supervised, and unsupervised machine-learning algorithms and methods with applications in healthcare. The Data Engineer would aim to improve clinical practice in pathology by developing intelligent decision-support systems that not only automate cumbersome or repetitive tasks but also lead to more objective and reproducible results. The overarching goal is to lead the way in transforming pathology from a qualitative to a quantitative discipline. The Data Engineer 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. 

Requirements:

• BS and/or MS in a quantitative science-related field (e.g., biomedical informatics, clinical informatics, machine learning, biostatistics, genetics, etc.)
• Experience in machine learning techniques is required, ideally with published work and/or code available. Experience 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
• Experience with programming and statistical software experience in Python and/or R
• Experience working on an HPC cluster is encouraged
• 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 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

Employer Description

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 professional 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!