Senior Data Scientist - Healthcare

Application Eligibility Criteria

Please apply to this position

only if you meet

all

of the following mandatory requirements

:

• A minimum of

6+ years of experience

in the

Healthcare industry

.

• Hands-on experience

in

causal inference and experimentation

.

• Willingness to join as a

full-time employee

(

no C2C or W2 arrangements

).

• You have

not applied within the past three months

to a similar role.

About the Role

📍

Hybrid (NY / NJ)

💼

Full-Time

✈️

Visa Sponsorship Available

Role Overview

We are seeking a

Senior Data Scientist

to support advanced analytics initiatives across a healthcare portfolio, with a strong focus on

patient outcomes, real-world evidence (RWE), and data-driven decision-making

. This role involves working extensively with complex healthcare datasets—including

claims, EHR, laboratory data, and social determinants of health (SDOH)

—to generate insights and evaluate the impact of clinical and operational interventions.

This is a

hands-on leadership role

, combining individual technical contribution with the responsibility of leading

cross-functional teams

to deliver measurable business and clinical outcomes.

Key Responsibilities

• Analyze large-scale healthcare data, including

medical and pharmacy claims, EHR, laboratory data, and SDOH

• Design and execute

real-world evidence (RWE) studies

• Apply

statistical, causal, and quasi-experimental methods

to assess intervention impact

• Develop

predictive and analytical models

to support population health initiatives

• Analyze

patient journeys, care patterns, and provider networks

• Identify

healthcare disparities and access barriers

• Translate complex analyses into

clear, actionable insights

for business and clinical stakeholders

• Build and maintain

dashboards and reporting solutions

Required Skills & Experience

• 3+ years

of experience working with healthcare data such as

medical and pharmacy claims, EHR, labs, or SDOH

• 6+ years

of hands-on experience applying statistical techniques, including

hypothesis testing, regression modeling, and causal analysis

• Strong experience conducting

cohort analysis and quasi-experimental evaluations

• High proficiency in

SQL

for large-scale data analysis

• Strong working knowledge of

Python or R

for statistical modeling and analytics

• Proven ability to translate complex analytical findings into

business-relevant insights

• Solid understanding of

metrics, experimentation frameworks, and performance measurement

Nice-to-Have Qualifications

• 3+ years

of experience with

A/B testing

• 6+ years

of experience using

SQL

• 3+ years

of hands-on experience in

hypothesis testing