Data Science Analyst II- Environmental Medicine & Public Health

Key Skills

Data Analysis, Data science techniques, Git, Github, Project management, Public Health, R Programming

Job Description

The Data Science Analyst will be a member of the research group of Dr. Nicholas DeFelice in Environmental Medicine and Public Health at the Icahn School of Medicine at Mount Sinai. 

The collaborative research group studies environmental determinants of health. Much of this work is directed toward developing quantitative approaches for understanding environmental risk by developing mathematical models to better understand the roles that infrastructure, climate and ecology play within disease transmission, along with how these factors impact community equity and justice. The group works understanding the relationship between environmental indicators and health outcomes.

The lab is based in a large department that is a leader in environmental public health research within a prominent academic medical campus next to Central Park in Manhattan’s Upper East Side. Mount Sinai offers many opportunities to learn new research skills and this position may fit a candidate with strong statistical programming skills seeking additional research experience in environmental biostatistics and data science.

While expertise with the Matlab, python, and/or R programming language is required, additional experience with command line tools and work with high performance computing approaches will be desirable. The job description is a broad outline of the duties required and will be renewed and modified in consultation with the PI, as the research program further develops.

Responsibilities

• Help generate infectious disease forecasts
• Conduct reproducible statistical analyses 
• Learn to assist in descriptive, exploratory, and systematic analyses of diverse types of data including remote sensing data.
• Clean and manage project files including merging, conversion, and reformatting of diverse data types
• Conduct and document analyses using reusable code and tools for reproducible research (e.g. git, github, knitr)
• Prepare presentation materials, scientific figures, and other rich data summaries
• Assist in manuscript preparation with the possibility of co-authorship on scientific publications
• Assist and advise group members on biostatistical approaches including advanced regression and epidemiologic methods, spatial statistics, and high dimensional analytics
• Participate in research group meetings, including presenting summaries of ongoing analyses
• Communicate with research partners in domestic and international collaborations
• Review and verify code prepared by other research group members
• Assist in developing R packages to extend computational methods
• Remain informed of new developments in statistical programming that relate to the research program
• Help with IRB 
• Perform other related duties.

Qualifications

• BA or BS degree minimum, in a relevant field of study; Masters degree preferred.
• 5 years minimum in analytics development expertise, preferably in health care, or for a health provider, health plan or accountable care organization, including either:

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!