Remote Healthcare Data Scientist Jobs in New York City

Join the Mission to Transform Healthcare Through Data

Are you ready to lead the charge in reshaping patient outcomes through intelligent data modeling and predictive analytics? As a Remote Healthcare Data Scientist, you’ll be part of a purpose-driven, innovation-led environment using cutting-edge data science methodologies to tackle some of the most critical challenges in modern healthcare. With a generous annual salary of $134,280 and the flexibility to work remotely from anywhere in New York City, this is more than a job—it’s a meaningful opportunity to create lasting impact.

Key Responsibilities and Daily Impact

Real-World Problem Solving

• Leverage healthcare datasets (EHR, claims, genomics, imaging) to develop machine learning models that predict disease risk and improve treatment efficacy.
• Build patient stratification tools and algorithmic triage systems to guide clinical decision-making.
• Apply statistical modeling and deep learning to extract meaningful patterns from high-volume, high-velocity datasets.

Advanced Analytics and Reporting

• Design and implement real-time dashboards using BI tools like Tableau and Power BI.
• Create structured analyses and visualizations to translate complex medical data into actionable insights for stakeholders.
• Work closely with clinicians to validate analytical findings against real-world patient outcomes.

Interdisciplinary Collaboration

• Partner with product managers, data engineers, and software developers to deploy scalable models within cloud-based healthcare platforms.
• Integrate patient feedback and clinical guidelines into iterative model improvements.
• Serve as a trusted advisor on analytical best practices in digital health initiatives.

Tools, Technologies, and Frameworks

The Stack You’ll Master

• Languages & Libraries: Python, R, SQL, Scikit-learn, TensorFlow, PyTorch, XGBoost
• Platforms: AWS, Azure, Databricks, Snowflake, Redshift
• Data Pipelines: Airflow, Spark, Kafka for large-scale healthcare data processing
• Visualization: Power BI, Tableau, Plotly for clinical storytelling

Security & Compliance Standards

• All data work adheres to HIPAA and HITRUST standards to ensure complete patient data privacy and ethical modeling practices.

Work Culture and Environment

Mission-Driven Innovation

Each model you develop has the potential to save lives or prevent unnecessary treatments. Whether improving chronic disease management or optimizing emergency care, your work directly affects patient experiences and outcomes.

Remote Flexibility with Purpose

Enjoy the autonomy of a fully remote position while being deeply embedded in an agile and impact-driven team. You'll be free to set your pace while working on time-sensitive projects with clear milestones.

Team Collaboration

• Weekly virtual collaboration sprints
• Monthly deep dives on the latest advancements in healthcare AI
• Supportive team environment where data scientists are decision influencers, not just report builders

Qualifications and Desired Expertise

Core Requirements

• Master’s or Ph.D. in Data Science, Bioinformatics, Biostatistics, or a related quantitative field
• Minimum of 3 years of experience working with healthcare data (clinical, payer, or population health)
• Hands-on experience with machine learning pipelines in cloud environments

Analytical and Technical Skills

• Proven ability to develop, tune, and interpret predictive models in a healthcare setting
• Experience with patient similarity models, time-series forecasting, or NLP on clinical notes is a plus.

Communication and Teamwork

• Strong ability to translate analytical insights into non-technical language for medical and executive stakeholders
• Comfortable collaborating across functions and operating within multi-disciplinary project teams

Growth Opportunities and Career Path

Advancement Possibilities

• Opportunity to move into a Lead Data Scientist or Director of AI in Healthcare role
• Cross-functional career mobility into product, engineering, or healthcare strategy

Learning and Development

• Access to continued education platforms focused on medical AI, genomics, and advanced modeling.
• Company-sponsored certifications in cloud architecture and healthcare compliance

A Day in the Life of a Healthcare Data Scientist

Typical Schedule

• Morning: Review cohort models for a new diabetes prevention program
• Midday: Join a cross-functional sprint planning session with engineering and clinical partners
• Afternoon: Build a data pipeline integrating hospital EHR feeds into the ML model training set
• End-of-day: Present a short demo of risk prediction visualization to non-technical stakeholders

Making a Difference Through Data

Data isn’t just numbers on a dashboard—it’s a lifeline. We are dedicated to equipping healthcare professionals with meaningful intelligence that improves the lives of thousands. Your work will shape future healthcare pathways, one insight at a time.

Call to Action

We want you on our team if you're passionate about combining data science with healthcare innovation. Let your expertise lead to breakthroughs in personalized medicine, preventive care, and population health analytics.

👉 Apply today to transform tomorrow.