Somebody has to look at all the health data New York collects and figure out what it's actually telling us. That's this job. We're hiring a
Remote Public Health Data Analyst, based anywhere, to work on problems that arise in real communities.
Basics First
Full-time. Fully remote. $115,500 a year. You'll spend your time moving between raw datasets and the people who need plain answers from them — health departments, epidemiology teams, policy staff. The work is steady, but rarely repetitive; public health data doesn't sit still.
Required Background
A Bachelor's degree is the floor here, no exceptions. You'll also need at least 2 years working with health data specifically — analysis, biostatistics, epidemiology, that general lane. If your resume says something adjacent and you can make the case, we'll listen.
- You know your way around R, Python, or SAS well enough to build a model, not just run one someone else wrote
- SQL doesn't slow you down
- You get how social determinants of health show up in real numbers, not just in theory
- You can walk a non-technical person through a finding without either dumbing it down or losing them
Day-to-Day
- Pull and clean data from public health agencies, hospitals, and community sources
- Analyze disease trends, chronic illness patterns, and social determinants using R, Python, or SAS
- Build dashboards and reports people outside your team can actually understand
- Write and maintain SQL queries against large health databases
- Develop predictive models so risk gets flagged before it becomes a crisis
- Work alongside epidemiologists and biostatisticians on shared analysis
- Handle everything under HIPAA rules, properly, every time
Not Required, But It Helps
- Master's degree in public health or a quantitative field
- Some background working remotely on an analytics team already
- Familiarity with how New York State's health systems are structured
- Comfortable using GitHub and Jupyter Notebooks day to day
The Pay-Off
Health coverage that's actually usable. PTO you're expected to take, not stockpile out of guilt. A training budget for deepening your modeling and data-storytelling skills. Bonus pay linked to results you can point to. And schedule flexibility that respects when you think best, rather than forcing a shape on your day that doesn't fit.
About the Remote Part
There's a weekly video sync to keep everyone lined up, and beyond that, most work happens asynchronously across time zones. Output is what gets noticed here, not who's logged in the longest. That distinction matters more than it sounds — plenty of "remote" jobs still expect office hours in disguise. This one, currently posted on Naukri Mitra, doesn't.
Where You Land in the Team
You'll work near epidemiologists, behavioral scientists, and the policy staff who translate findings into action. It's not a huge team. Everyone's work tends to overlap eventually — the model you build this quarter might end up backing someone else's funding request next.
What Comes After This Role
Some people in this seat go deeper into technical work, like epidemiological modeling. Others move toward leadership — Biostatistics Manager and Public Health Strategist are both realistic next steps from here. Whichever direction fits, there's mentorship and training support behind it, not just a title change.
To Apply
Send your resume, and tell us about one health data project you're genuinely proud of. Not your entire work history — just the one. We welcome applicants from the USA, Canada, the UK, the European Union, Australia, India, and other regions, provided your working hours can overlap with New York's public health priorities. Applications are reviewed on a rolling basis, and we reach out directly to anyone moving forward.
