Data Analyst I-Personalized Medicine

This position will be in the lab of Dr. Lili Chan housed in the Institute of Personalized Medicine in the Icahn School of Medicine at Mount Sinai in Manhattan, New York, NY, USA.

 

Key topics of interest include but are not limited to: natural language processing, large language models, 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, unsupervised learning to discover biologically-relevant disease subtypes, among others. We have an interest in many disease domains including nephrology, cardiology, radiology, psychiatry, and others.

 

Data and Resources: Data resources include (a) Access to >8 million patient records in the Mount Sinai Data Warehouse (b) The BioMe Biobank Program with >30,000 patients with whole exome sequencing data linked to longitudinal clinical data. The candidates will have the opportunity to develop their own research projects and to lead or participate in local as well as international collaborations.

 

The analyst will join a dynamic team of data scientists, geneticists, and clinicians and participate in unique opportunities to apply deep learning for important scientific breakthroughs and to directly impact patients’ lives in a clinical setting.

1. Designs and writes custom applications needed to ensure the database meets requirements for the entry, management and reporting of data.

2. Assists in the development of data management plans and guidelines that will deliver accurate, timelines consistent with quality data. Assures the quality control compliance process.

3. Identifies and implements solutions to data management issues and concerns that arise during the conduct of research studies.

4. Assists staff with technical issues related to electronic and remote record keeping systems; trains staff to help improve quality of data collected.

5. Assists medical students, interns, residents and/or program faculty with queries and generating statistical analyses.

6. Maintains knowledge of the current regulations and technologies related to data management.

7. May write and prepare manuscripts and other materials for internal and external audiences.

8. Performs other related duties.

The ideal candidates will have the following background:

1. A Masterss degree or a Bachelors degree with 2-3 years of experience in a quantitative science-related field (e.g., biomedical informatics, clinical informatics, machine learning, biostatistics, genetics, etc.)

2. Significant experience in biostatistics/machine learning techniques is preferred, ideally with published work and/or code available. Expertise with deep learning frameworks is preferred (e.g., Tensorflow, PyTorch, Keras).

3. Expertise with programming and statistical software experience in R and/or Python.

4. Formal computer science, statistics, or epidemiological training is a strong advantage.

5. Familiarity with the publication process.

6. Strong communication and presentation skills with fluency in spoken and written English.

 

, 024 - Personalized Medicine Inst - ISM, Icahn School of Medicine

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.

At Mount Sinai, our leaders strive to learn, empower others, and embrace change to further advance equity and improve the well-being of staff, patients, and the organization.  We expect our leaders to embrace anti-racism, create a collaborative and respectful environment, and constructively disrupt the status quo to improve the system and enhance care for our patients. We work hard to create an inclusive, welcoming and nurturing work environment where all feel they are valued, belong and are able to advance professionally.

 Explore more about this opportunity a