10101 - Data Equity Analyst

Data Equity Analyst

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 (Division of Disease Control)

Established in 1805, the New York City Department of Health and Mental Hygiene (DOHMH) is the oldest and largest health department in the country. DOHMH strives to protect and promote the health of all New Yorkers.  With a vision to be a city where all New Yorkers can realize their full health potential, regardless of who they are, where they are from or where they live, our core values are science, equity, and compassion.   

A world-renowned public health agency responding to urgent public health crises from New York City’s yellow fever outbreak in 1822, to the COVID-19 pandemic, DOHMH has been a hub for public health innovation, expertise, and resource.  From food policy, tobacco, HIV/AIDS, family child health, environmental health, mental health, and racial justice work, DOHMH’s impact to public policy across the nation has been vast. 

Our 7,000-plus team members bring extraordinary diversity to the work of public health. True to our value of equity, DOHMH has been a leader in recognizing and dismantling the impact of racism on the health of New Yorkers and more broadly. In 2021, the New York City Board of Health declared racism as a public health crisis. With commitment to dismantle systems that perpetuate inequitable power, opportunity, and access, DOHMH continues to work in and with communities with historic disinvestment and disease burden to decrease unfair and avoidable health outcomes so all New Yorkers can achieve their full health potential. 

The Division of Disease Control (DIS) serves as the infectious disease arm of DOHMH and includes seven bureaus including the Bureau of Public Health Clinics (BPHC). BPHC serves as direct care provider of the Division, operating 8 sexual health clinics, 4 tuberculosis chest centers, and COVID quickie clinics.

POSITION OVERVIEW

BPHC seeks a Data Equity Analyst to support data migration and reporting as it transitions from an existing electronic health record (EHR) to Epic. The Data Equity Analyst will be responsible for migrating historical patient data into the new Epic system, developing reports used by BPHC leadership to understand patient data, and conducting regular QA of Epic to ensure implementation is going smoothly. In addition, this individual will work collaboratively with Divisional and Agency representatives on data equity initiatives to ensure that patient demographics are collected consistently and according to best practices. This position is funded through the Centers for Disease Control and Prevention’s (CDC) Epidemiology and Laboratory Capacity for Infectious Diseases Grant and will be fully remote.

RESPONSIBILITIES

• Design, develop, and maintain reports, dashboards, visualizations generated from electronic medical records database
• Provide regular and ad-hoc reports to stakeholders
• Participate in meetings with multiple internal and external stakeholders to gather requirements, identify data conversion needs, provide ongoing updates, and ensure business needs are met           
• Contribute to data equity efforts including analyzing race, ethnicity, gender, and sexual orientation data and working with stakeholders to determine best practices around collecting and analyzing equity data
• Perform data conversions including extracting healthcare data from non-Epic EHR systems, performing transformations upon the data, and importing it into Epic
• Support developing and executing test plans, exception-handling routines as well as source to target mappings for the purpose of archiving data of EMR systems and the migration data into Epic system
• Conduct data quality assurance activities throughout the migration process, as well as monitoring data quality after migration
• Contribute to data governance efforts including definitions, implementation, and organization
• Follow data security and privacy policies, and stays up to date with recent data tools and trends
• Build and foster collaborative rapport and partnerships with epidemiologists and other colleagues in the division

QUALIFICATIONS

• Bachelor's degree in IT, CSci, Health Informatics, master’s degree preferred
• Experience with Epic and other EHRs and software
• Experience with data migration to Epic system is highly preferred
• Excellent written and oral communication skills

SALARY AND BENEFITS

• Salary range is $85,000 to $92,000
• Generous Paid Time Off (PTO) policy
• Medical, dental, and life insurance with low or no employee contribution
• A retirement savings plan with generous employer contribution
• Flexible spending medical and commuter benefits plan
• Fun hybrid office environment and passionate team
• Fun all staff events all year round
• Meaningful work at an organization striving to advance health equity and social justice

WORK SCHEDULE

9:00am – 5:00pm

WORK LOCATION

42-09 28th St, Queens, NY 11101

RESIDENCY REQUIREMENT

You must live in New York City Tri-state area (NY, NJ, CT) in order to be considered for a position at FPHNYC.

TO APPLY

To apply, upload Resume, including how your experience relates to this position. 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.