We’re looking for the optimists, the changemakers, the status quo smashers, and those who reject the very idea of the impossible. At Clarify, we firmly believe that healthcare can (and should) perform better. Our AI-driven healthcare analytics solutions help some of the biggest entities in healthcare pinpoint new ways to do so, starting with their margins and their missions. We’re looking for talented individuals to join us in blueprinting healthcare’s next evolution.
Clarify is looking for Senior Data Science Engineer to focus on machine learning (ML) engineering and operations (MLOps).

THE ROLE

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• Developing and deploying machine learning (ML) models on large healthcare datasets; proficient in fostering a project through the entire model development lifecycle, including MLOps

• Designing rigorous experiments that incorporate different modeling techniques, feature engineering, and feature selection to optimize model performance, interpretability, and identify actionable insights
• Drive innovation by staying current with cutting-edge research in machine learning, AI, GenAI, LLMs, and related fields, and translating insights into scalable, impactful solutions
• Collaborating with our product management, engineering, clinical, and customer success to provide a data-driven perspective on business problems
• Translating business problems and sometimes complex statistical approaches into actions, balancing creativity with engineering practicality

DON’T MEET EVERY SINGLE REQUIREMENT? AT CLARIFY WE ARE DEDICATED TO BUILDING A DIVERSE, INCLUSIVE AND AUTHENTIC WORKPLACE, SO IF YOU’RE EXCITED ABOUT THIS ROLE BUT YOUR PAST EXPERIENCE DOESN’T ALIGN PERFECTLY WITH EVERY QUALIFICATION IN THE JOB DESCRIPTION, WE ENCOURAGE YOU TO APPLY ANYWAY. YOU MAY BE JUST THE RIGHT CANDIDATE FOR THIS OR OTHER ROLES!

We believe that a happy, diverse, and impact-driven team is critical to our mission of transforming healthcare. Having a diverse team allows us to bring more ideas to the table when working on lighting the path to higher-value care. We embrace employees and applicants of all backgrounds, including those of traditionally underrepresented groups. With this in mind, we do not discriminate against any employee or applicant because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, the basis of disability, homelessness, reproductive health decisions or any other federal, state or local protected class