Lead Data Scientist

About the role

MDCalc is a critical component of the clinician's workflow, serving as the most broadly used medical reference at the point-of-care for clinical decision tools and content. With over 65% of physicians worldwide using MDCalc, the platform supports 50+ specialties and covers 200+ patient conditions. This role is crucial for shaping how MDCalc leverages data to innovate products, inform business strategies, and enhance clinical outcomes.

Responsibilities

• Define and lead analytical projects that influence product direction, business strategy, and clinical impact
• Develop predictive models and behavioral analyses to understand clinician engagement, product usage patterns, and provider behavior
• Analyze large and complex healthcare datasets to uncover patterns, opportunities, and actionable insights
• Design and implement robust data pipelines, workflows, and dashboards that scale with MDCalc’s growth
• Partner with product managers, engineers, and clinical experts to translate data into product requirements and measurable outcomes
• Set up experimentation frameworks and lead A/B testing to optimize product performance
• Elevate standards for data integrity, reproducibility, and quality within the organization
• Communicate complex technical concepts clearly and effectively to leadership and diverse audiences
• Lead data initiatives from concept to implementation and influence product roadmaps
• Work with healthcare, clinical, or life sciences datasets to design and analyze experiments

Requirements

• Bachelor’s, Master’s, or PhD in Data Science, Statistics, Computer Science, Applied Mathematics, or a related field
• 10+ years of experience in applied data science, statistical modeling, or predictive analytics, ideally with healthcare, clinical, or provider behavior datasets
• Strong foundation in statistical methods, predictive modeling, and machine learning concepts
• Proficiency in Python or R and associated data science libraries such as pandas, scikit-learn, statsmodels, NumPy, or similar
• Strong SQL skills and experience working with large datasets
• Experience developing, evaluating, and improving machine learning models in real-world applications
• Experience designing and analyzing experiments and interpreting results with statistical rigor
• Ability to communicate complex technical concepts clearly and effectively
• Familiarity with data visualization and BI tools such as Tableau or Looker, with the ability to tell compelling data stories to diverse audiences
• Expertise in Python (pandas, NumPy, scikit-learn) and SQL, with experience building production-grade predictive or statistical models
• Deep knowledge of machine learning techniques such as regression, classification, clustering, recommendation systems, and causal inference
• Proven track record of leading data initiatives from concept to implementation and influencing product roadmaps
• Experience working with healthcare, clinical, or life sciences datasets such as provider behavior, claims data, utilization data, or clinical decision support platforms is strongly preferred

Benefits

• Medical, Dental, & Vision coverage, with option to extend to your dependents
• Company-sponsored short-term insurance
• Full-time 8-week parental leave, after 6 months of employment
• Company-sponsored 401k, after 3 months of employment
• Unlimited vacation for salaried roles - we trust you to take the time you need
• Hybrid work environment with a great team office in Greenwich Village, NY
• CA culture of fun and motivated team members who believe in a greater mission here at MDCalc

Pay

Competitive salary based on experience and qualifications

Schedule

Flexible work schedule with options for remote work