ModMed - Data Scientist - Predictive Analytics

Who We Are :

We Are Modernizing Medicine (WAMM)! Were a team of bright, passionate, and positive problem-solvers on a mission to place doctors and patients at the center of care through an intelligent, specialty-specific cloud platform.

Our vision is a world where the software we build increases medical practice success and improves patient outcomes.

Founded in 2010 by Daniel Cane and Dr. Michael Sherling, we have grown to over 3400 combined direct and contingent team members serving eleven specialties, and we are just getting started! ModMed is based in Boca Raton, FL, with office locations in Santiago, Chile, Berlin, Germany, Hyderabad, India, and a robust remote workforce with team members across the US.

Job Overview :

ModMed is seeking an experienced and highly skilled Data Scientist with a strong background in machine learning, predictive analytics, and healthcare data. This individual will play a critical role in developing and implementing advanced analytics solutions to optimize healthcare delivery and patient outcomes. As part of our innovative team, you will work with large, complex datasets to build predictive models, uncover trends, and improve healthcare operations through data-driven insights. If you have a passion for leveraging data to solve complex healthcare challenges and are well-versed in the latest data science methodologies, we would love to hear from you.

Key Responsibilities :

• Data Modeling and Analytics : Develop and implement machine learning models, algorithms, and statistical tools to process large volumes of healthcare data for predictive insights and optimization.
• Data Mining and Exploration : Analyze structured and unstructured data to discover trends, correlations, and patterns that can drive new product features or enhance existing offerings.
• Predictive Analytics : Build predictive models to anticipate patient needs, streamline operational workflows, and improve healthcare delivery.
• Research and Development : Keep abreast of the latest developments in machine learning, data science, and healthcare analytics to drive innovation and improvement in ModMeds AI offerings.

Skillset & Qualification :

Technical Expertise :

Machine Learning & Statistics : Expertise in building and deploying machine learning models, including classification, regression, and clustering techniques.

Education : Bachelors or Masters degree in Data Science, Generative AI, Computer Science, Mathematics, Statistics, or a related technical field.

Experience : 10+ years of experience in data science, Generative AI, machine learning, or predictive modeling, preferably in healthcare or a similar data-rich domain.

Problem Solving : Strong analytical skills with the ability to translate complex business problems into data-driven solutions.

Communication : Excellent verbal and written communication skills to explain technical concepts to non-technical stakeholders.

Preferred : Experience with healthcare-related analytics, including patient outcomes, clinical workflows, and operational efficiencies.

ModMed Benefits Highlight : At ModMed, we believe its important to offer a competitive benefits package designed to meet the diverse needs of our growing workforce. Eligible Modernizers can enroll in a wide range of benefits :

India :

United States :

PHISHING SCAM WARNING :

ModMed is among several companies recently made aware of a phishing scam involving imposters posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote "interviews," and making fake job offers in order to collect personal and financial information from unsuspecting individuals.

Please be aware that no job offers will be made from ModMed without a formal interview process, and valid communications from our hiring team will come from our employees with a ModMed email address (first.lastname@modmed.com).

Please check senders email addresses carefully. Additionally, ModMed will not ask you to purchase equipment or supplies as part of your onboarding process. If you are receiving communications as described above, please report them to the FTC website.

ref : hirist.tech)