Data Scientist

Job Title Data Scientist

Department Data Science and Research Unit

Division Family and Child Health

Bureau Office of School Health

Location 30-30 47th Avenue, Long Island City, NY 11101

Reports to Title Research Scientist of Health Data

Direct Reports Title(s) Not applicable

Schedule & Hours M-F, 9am–5pm; 35 hours per week

Workplace Flexibility Modality Hybrid, 3 days in office (including Wednesdays), 2 days remote

Work Environment Office Environment, occasional travel for meetings within the NYC boroughs.

Grant End Date 3/31/2028 (possibility for extension depending on availability of funding)

Salary $78,000-$80,000 annually

FLSA Classification Exempt

The Fund for Public Health in New York City (FPHNYC) is a 501(c)3 non-profit organization that is dedicated to the advancement of the health and well-being of all New Yorkers. To this end, in partnership with the New York City Department of Health and Mental Hygiene (DOHMH), FPHNYC incubates innovative public health initiatives implemented by DOHMH to advance community health throughout the city.

It facilitates partnerships, often new and unconventional, between government and the private sector to develop, test, and launch new initiatives. These collaborations speed the execution of demonstration projects, effect expansion of successful pilot programs, and support rapid implementation to meet the public health needs of individuals, families, and communities across New York City.

We embrace a culture of learning, collaboration, innovation, and well-being, where open communication drives our impact.

The Office of School Health is seeking a Data Scientist that will play a key role in efforts to improve public health surveillance among New York City public school students, including by supporting efforts to enhance data linkage and integration. This person will work under the supervision of a Research Scientist and the guidance of the Senior Statistician/Surveillance Director of the Data Science and Research Unit in the Office of School Health.

The Data Scientist will also work closely with unit members on efforts to identify and maintain a large set of risk indicators to optimize health risk identification among the student population. These analytic and technical efforts will directly support the development and expansion of data resources and inform an understanding of the delivery of services to school-aged children necessary to evaluate student health and educational outcomes.

The Division of Family and Child Health (DFCH) of the New York City Department of Health and Mental Hygiene is charged with the creation and oversight of programs, policies, services, and environments that support physical and socio-emotional health, and promote primary and reproductive health services, health equity, social justice, safety and well-being for New York City families and children. The division is comprised of the Bureau of Maternal Infant Reproductive Health, the Bureau of Early Intervention, the Office of School Health, and the Bureau of Administration.

The vision of the DFCH is that every child, woman, and family recognize their power and is given the opportunity to reach their full health and developmental potential. We encourage qualified applicants with demonstrated commitment to social justice, particularly racial, gender, and LGBTQ equity to apply.

• Under technical supervision and in coordination with project management efforts, serve as a primary analyst for efforts to determine the impact of program access on health and educational outcomes for school-aged children. Assisting in the design and implementation of surveillance projects, performing analysis, and reporting findings in manuscripts, official reports, and conference presentations.
• Contribute to data linkage efforts essential to maintaining and expanding the Student Population Health Registry, including by implementing data matching processes to support public health surveillance.
• Provide technical expertise to research design, data acquisition and management, and development of statistical/epidemiological modeling within a causal framework to characterize the impact of educational program access on children’s health.
• As needed, provide technical expertise in Data Science to OSH programs, including the development of causal and predictive models.
• As necessary, developing new approaches to utilize OSH’s integrated data system to characterize health risk among…