Sr. Database Architect

Job Description

Job Description

Job Title : Data Scientist (Healthcare ML & Analytics — Mid / Senior Level)

Location : Onsite-full time , $80K to $130K, must be authorized to work in USA, no visa sponsorship available

Company Overview : Lifekind Health is a leading provider of transdisciplinary pain management patient care and is launching Savas Software AI-enabled next generation healthcare software. We combine clinical excellence with advanced machine learning, analytics engineering, and intelligent automation to transform how care is delivered.

We are committed to providing exceptional patient care and dedicated to improving healthcare delivery through innovative technology. We are building the data and ML foundation that will power the future of personalized, proactive, and value-based healthcare.

Position Overview :

We are seeking a technically strong, impact-driven Data Scientist with experience building ML-based predictive products and advanced analytics in real-world environments. In this role, you will work with diverse and complex healthcare datasets—EHR, scheduling, billing, claims, structured & unstructured clinical data—to design, train, and deploy machine learning models that directly influence patient care, operational performance, and clinical efficiency.

This is a high-ownership, hands-on role where you’ll help shape our intelligent data platform, build production-ready features, experiment with models, and collaborate with engineering teams to push ML systems into production.

If you enjoy solving messy, high-impact healthcare problems using advanced ML, this role is for you.

Key Responsibilities

Machine Learning & Predictive Analytics

• Develop and deploy ML models that power key products such as :

Procedure Appropriateness

Data Analysis & Insights

Data Engineering & Feature Pipelines

NLP & Unstructured Data (Nice-to-Have but Valuable)

Visualizations & Storytelling

Technical Environment (Azure ML & Analytics)

You’ll work within a modern Azure-based ML and analytics stack, including :

You’ll have the opportunity to help design and scale the ML architecture as the platform grows.

Qualifications

Preferred Skills

What Success Looks Like

What Sets Us Apart :

Our team is mission-driven and united by a common purpose : healing humanity through a revolutionary transdisciplinary model. The model addresses the quadruple aim of healthcare : enhancing patient experience, improving patient health, reducing healthcare costs, and increasing employee satisfaction. We thrive on collaboration, and each member is a self-starter, empowered to unblock themselves and move forward with confidence. If you are passionate about impacting healthcare, enjoy taking initiative, and are comfortable with ambiguity, you’ll find a great fit with us.