Founding Data Scientist
Century Health
Data Science
New York, NY, USA
Posted on May 18, 2026
Century Health | Founding Data Scientist
TL;DR
We’re hiring a Founding Data Scientist to own data delivery, quality control, feasibility analyses, and real-world evidence studies for life sciences partners. This is a forward-deployed role.
You will work directly with messy clinical data, generate high-quality analytic outputs, and help translate real-world data into actionable insights that accelerate medical breakthroughs.
Compensation: Competitive, based on experience
Benefits: Top-tier healthcare, vision, and dental coverage
Experience: 3 to 6+ years in statistics, biostatistics, epidemiology, data science, or related quantitative field
Location: NYC
Reporting to: Co-Founder & CTO
About Century Health
Century Health is on a mission to accelerate medical breakthrough using AI and real-world clinical data.
Today, answering critical clinical and commercial questions is slow because rich clinical data is siloed across health systems, academic institutions, and private practices. Our platform transforms this complex real-world data into research-ready datasets and rapid insights for life sciences partners, while protecting patient privacy and supporting the research community.
We are building the infrastructure that turns raw clinical data into impact.
Our Values
We are relentlessly mission-driven.
The beating heart of our company is our mission: accelerating breakthrough treatments. We strive to deliver on this for all patients.
We win with our customers.
Customers place their trust in us and we take this responsibility seriously. Good things happen when we do right by our customers. When we’re not sure how, we talk to them.
We are humans first.
We’re an AI and tech company, but first we are a group of smart, caring, fun-loving humans. A diverse and inclusive team that reflects the patients we serve is essential to achieve our mission. We don’t tolerate jerks.
We bias to action.
We act quickly using all available data (which realistically will be incomplete). Speed is everything in a startup and trying out an idea is the fastest way to prove if it works. We have the humility to be wrong and try again.
We take pride in what we build.
Making our mark on the world requires personal ownership and sweating the details. We celebrate doing what we love, doing it well, and doing it together.
Responsibilities
As a Founding Data Scientist, you will sit at the intersection of analytics, science, and customer delivery.
This is a hands-on role. You will work directly with real-world clinical datasets, own analytic workflows end to end, and ensure every customer-facing dataset and analysis meets a high standard of quality and reproducibility.
You will be a core contributor to both scientific outputs and commercial success.
Data Partnerships
Prepare customer-ready analytic datasets from real-world clinical data, including EHR and other healthcare sources.
Deliver statistical and clinical analyses to customer partners, requiring interfacing with disease experts, providers, and understanding the underlying data.
Perform rigorous data QA to validate cohort definitions, variable construction, and derived endpoints.
Write and complete QC reports documenting validation checks and delivery specifications.
Partner with engineering to identify and resolve data inconsistencies or pipeline issues.
Ensure reproducibility and clear documentation of all analyses.
Data Products
Define and build Century Health's data product portfolio from scratch - spanning customer-facing RWE tools, internal sales analytics, and AI-assisted data exploration
Establish best practices for analytical workflows, dataset documentation, and output validation across a growing library of reusable study templates and cohort definitions
Work directly with pharma partners (study design through delivery) and with the sales team (proposal support through post-sale) to ensure data products drive measurable value
Hire and mentor future data science team members as the company scales, setting technical and scientific standards for the function
Real-World Evidence Studies
Design and execute observational analyses using real-world data.
Apply appropriate statistical methods to address confounding, bias, and missing data.
Produce clear tables, figures, and summaries for external audiences.
Contribute to white papers, study reports, and methods documentation.
Translate complex findings into clear, actionable insights for both technical and non-technical stakeholders.
Qualifications
We are looking for someone who combines statistical rigor with strong execution skills and comfort working with real-world healthcare data.
Master’s or PhD in Statistics, Biostatistics, Epidemiology, Data Science, or related field.
5+ years of experience working with clinical, EHR, claims, or other real-world healthcare data.
Strong proficiency in R or Python for data wrangling and statistical analysis.
Experience building reproducible analytic pipelines and performing structured QA.
Solid understanding of observational study design and common RWE methodologies.
Strong written communication skills, including experience contributing to scientific or client-facing documents.
Ability to work independently and take ownership in a fast-moving startup environment.
Nice to have:
Experience supporting life sciences or pharma partners.
Familiarity with regulatory considerations in real-world evidence.
Experience with large-scale healthcare databases.
These qualifications are guidelines. If you are excited about the mission and believe you would thrive in this role, we encourage you to apply.
Apply now
We're growing fast and are backed by top-tier investors, so what you build has a good chance to create massive impact for patients! As one of the first hires, you will be a key part of the Century Health journey.
If you're interested, send a bit about yourself and your resume to sanjay@century.health.