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The New York City Department of Health and Mental Hygiene (DOHMH) is expanding home visiting in NYC and streamlining how providers, organizations, and community residents can access quality home-visiting services. The goal is to improve maternal and child health and well-being by matching families' assessed risks to evidence-based (EB) or evidence-generating (EG) home visiting (HV) models that are most appropriate for them based on their needs, and to connect them to other resources as needed.  Racial, ethnic, and socioeconomic inequities create disparate outcomes in certain neighborhoods as compared with the rest of the city, and providing services beginning in the prenatal through postpartum period is vital to improving these outcomes. In addition, recent attention to inequities in maternal morbidity and mortality, especially in New York City, points to the need for more respectful maternity care and greater agency for people during childbirth, both of which the program's staff will facilitate, in partnership with community stakeholders.

DOHMH's New Family Home Visits (NFHV) program will serve families from pregnancy through the postpartum period. NFHV incorporates a strong mental-health and chronic-disease focus, including screening for diabetes, hypertension, maternal depression, and anxiety, along with referrals to needed services. DOHMH seeks a Research Analyst (City Research Scientist II) to provide data management support to the NFHV and NHVP programs. Under the direction of the Sr. Research Advisor, the Research Analyst will be primarily responsible for coordinating the data management and analyses of data for the NFHV program.  This will include cleaning data, revising data collection forms, developing program reports, and maintaining databases in collaboration with program staff.  In addition, this position will provide related support to additional data analysis and evaluation tasks as assigned. 
   
DUTIES WILL INCLUDE BUT NOT BE LIMITED TO:

Maintaining program database.

Providing support to data management activities, which including data cleaning, recoding of variables, running queries, and quality assurance checks.

Monitoring and managing incoming data and responding to ad hoc data requests.

Supporting the development of reports for data dissemination and use.

Performing data analyses for routine reports, data requests, evaluation projects, and other special epidemiologic analyses.

Contributing to the implementation of research and evaluation studies.

Contributing to the development of study reports and journal articles.

Presenting findings at conferences and meetings in collaboration with supervisor.

Other duties as assigned.

Minimum Qual Requirements
For Assignment Level I (only physical, biological and environmental sciences and public health) A master's degree from an accredited college or university with a specialization in an appropriate field of physical, biological or environmental science or in public health.
To be appointed to Assignment Level II and above, candidates must have:
1. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or
2. A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or
3. Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in "2" above. Two years as a City Research Scientist Level I can be substituted for the experience required in "1" and "2" above.

NOTE:
Probationary Period
Appointments to this position are subject to a minimum probationary period of one year.

Preferred Skills
Graduate degree in public health, or a related field
At least two years of experience with SAS SQL programming, including macro language
Experience with Microsoft Access, including creating and running reports and queries
Experience in supporting maternal and infant programs a plus.

KNOWLEDGE, SKILLS AND ABILITIES:

Proven writing skills with ability to synthesize large amounts of information into succinct, readable reports
Experience in quality assurance, data management, and analysis of large public health datasets
Ability to merge multiple datasets and match records
Exceptional interpersonal and teamwork skills
Proven project coordination and organizational skills
Excellent communication skills, including the ability to communicate effectively with both technical and non-technical audiences.

Additional Information
**IMPORTANT NOTES TO ALL CANDIDATES:

Please note: If you are called for an interview you will be required to bring to your interview copies of original documentation, such as:
• A document that establishes identity for employment eligibility, such as: A Valid U.S. Passport, Permanent Resident Card/Green Card, or Driver’s license. 

• Proof of Education according to the education requirements of the civil service title. 

• Current Resume  

• Proof of Address/NYC Residency dated within the last 60 days, such as: Recent Utility Bill (i.e. Telephone, Cable, Mobile Phone)

Additional documentation may be required to evaluate your qualification as outlined in this posting’s “Minimum Qualification Requirements” section. Examples of additional documentation may be, but not limited to: college transcript, experience verification or professional trade licenses.

If after your interview you are the selected candidate you will be contacted to schedule an on-boarding appointment.  By the time of this appointment you will be asked to produce the originals of the above documents along with your original Social Security card.

**LOAN FORGIVENESS

The federal government provides student loan forgiveness through its Public Service Loan Forgiveness Program (PSLF) to all qualifying public service employees. Working with the DOHMH qualifies you as a public service employee and you may be able to take advantage of this program while working full-time and meeting the program’s other requirements. 

Please visit the Public Service Loan Forgiveness Program site to view the eligibility requirements:

https://studentaid.ed.gov/sa/repay-loans/forgiveness-cancellation/public-service


"FINAL APPOINTMENTS ARE SUBJECT TO OFFICE OF MANAGEMENT & BUDGET APPROVAL”

To Apply:

Apply online with a cover letter to https://a127-jobs.nyc.gov/. In the Job ID search bar, enter: job ID number # 499448.

We appreciate the interest and thank all applicants who apply, but only those candidates under consideration will be contacted.

The NYC Health Department is committed to recruiting and retaining a diverse and culturally responsive workforce. We strongly encourage people of color, people with disabilities, veterans, women, and lesbian, gay, bisexual, and transgender and gender non-conforming persons to apply.

All applicants will be considered without regard to actual or perceived race, color, national origin, religion, sexual orientation, marital or parental status, disability, sex, gender identity or expression, age, prior record of arrest; or any other basis prohibited by law.

NOTE: This position is open to qualified persons with a disability who are eligible for the 55-a Program. Please indicate in your resume that you would like to be considered for the position under the 55-a Program.

Residency Requirement
New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview.