Data Manager
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Data Manager

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.

 

PROGRAM OVERVIEW

Health Data for New York City (HD4NYC) is a partnership between DOHMH and the New York Academy of Medicine. Through the combination of multi-institutional collaboration, access to data, and mentorship, HD4NYC seeks to advance health equity by (1) producing actionable, policy-relevant health equity research and (2) promoting the careers of academic and applied public health researchers. HD4NYC working group members are early- and mid-career researchers from academic institutions across the NYC metropolitan area and DOHMH divisions, plus two senior mentors co-leading each working group. HD4NYC has facilitated policy-relevant research products and new, funded collaborations to conduct health equity research.

 

POSITION OVERVIEW

The Data Manager will work with the Project Coordinators, working group Co-Leads, and working group members to track and support the data needs of each HD4NYC project. This position reports to the HD4NYC Project Coordinator, Bureau of Epidemiology Services, NYC Department of Health and Mental Hygiene. This position is funded through March 2022.

 

RESPONSIBILITIES

The Data Manager will support HD4NYC co-lead and investigator data needs by:

  • Performing data management tasks (e.g., data cleaning, recoding, merging, etc.) to make data ready for HD4NYC working groups
  • Linking various administrative and survey datasets
  • Creating documentation to support analyses, such as codebooks and analysis guidelines
  • Conducting analyses to support work groups
  • Attending working group and subgroup meetings
  • Providing other forms of support as needed to working group co-leads and members
  • Supporting the Project Managers in evaluating and adapting the HD4NYC program to increase effectiveness and efficiency
Qualifications

QUALIFICATIONS

  • Bachelor’s or Master’s Degree in public health or related field
  • Experience conducting analyses of complex datasets
  • Proficiency with statistical software including, SAS, SUDAAN, and R
  • Detail-oriented and highly organized
  • Excellent interpersonal, research, written and verbal communication skills
  • Experience working collaboratively with partners from multiple institutions and sectors
  • Strong computer skills, including Microsoft Office (Word, Excel, PowerPoint)
  • Ability to handle multiple projects and adapt to changing priorities
  • Demonstrated commitment to health equity and reducing health disparities
  • Familiarity with DOHMH data preferred

 

SALARY AND BENEFITS

FPHNYC offers a comprehensive benefits package, which includes medical, dental, vision insurance. The salary range for this position is $60,000 - $64,900 and is commensurate with experience.

 

ADDITIONAL INFORMATION

There is potential for this position to transition to DOHMH and therefore candidates must meet DOHMH eligibility requirement including NYC residency.

 

TO APPLY

To apply, send Resume, with Cover Letter, including how your experience relates to this position. We ask that you do not contact our staff directly and no phone inquiries please. Applicants who best match the position needs will be contacted.

 

The Fund for Public Health in New York City is an Equal Opportunity Employer and encourages a diverse pool of candidates to apply.

 

Apply