LeadDataScientist

THE OPPORTUNITY Since 2005, MDCalc has been an essential part of the clinician’s workflow to help achieve better patient outcomes. Actively used by more than 65% of physicians worldwide, MDCalc is the most broadly used medical reference – at the point-of-care – for clinical decision tools and content, and one of only four references used by >50% of US HCPs. These evidence-based tools and content are used by millions of medical professionals globally and support 50+ specialties and cover 200+ patient conditions. We are seeking a Lead Data Scientist to play a central role in shaping how MDCalc uses data to drive product innovation, inform business decisions, and improve clinical outcomes. This is a high-impact opportunity to define data strategy, build scalable solutions, and deliver insights that guide the future of our platform and help millions of clinicians care for hundreds of millions of patients. THE ROLE As a Lead Data Scientist, you will apply rigorous statistical methods, predictive analytics, and applied machine learning techniques to solve meaningful product and business problems. You will work closely with Product, Engineering, and Clinical teams to design models, evaluate impact, and build scalable data solutions that directly influence MDCalc’s platform and mission. While this role focuses on applied statistical modeling and predictive analytics exposure too and progress use of generative AI and/or large language model development is considered a plus. This role is ideal for someone who is deeply curious, technically strong, and motivated by applying data science to real-world healthcare problems with tangible impact. The responsibilities of this individual include the following, but are not limited to: - Define and lead analytical projects that influence product direction, business strategy, and clinical impact - Develop predictive models and behavioral analyses that help identify which clinicians are using MDCalc, how they engage with clinical tools,