Data Scientist

March 2

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ThalamusGME

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Founded in December of 2013 and based in Santa Clara, California, Thalamus is the premiere, web-based, digital interviewing software specifically designed for application to graduate medical education (GME) training programs. Created by an anesthesiology residency applicant (now resident) and anesthesiology residency program director, Thalamus provides a comprehensive online interview reservation and travel experience via a real-time scheduling system – online and mobile.

Graduate Medical Education • Residency and Fellowship Interview Management • Residency and Fellowship Application Management • Residency and Fellowship Travel Planning • Residency and Fellowship Data Analytics

11 - 50 employees

Founded 2013

📋 Description

• Our mission is to help the right doctors practice at the right hospitals to treat the right patients. • We leverage a passion for technology, medical education, equity, and data-driven research to optimize physician recruitment, starting with the medical residency recruitment process. • Thalamus is the market leader in graduate medical education recruitment technology, empowering over 8,000 residency and fellowship programs at 800+ health systems and all new physicians throughout the US annually. • We are building a data science team from the ground up, and we are looking for an exceptional Senior Data Scientist to lead the way. • As our Senior Data Scientist, you will be a strong individual contributor with deep experience in data-driven analytics, product design and AI/ML modeling. • You will play a key role in transforming Thalamus’s proprietary data into valuable insights, supporting health systems and physicians in making smarter hiring decisions and job searches respectively.

🎯 Requirements

• 7+ years of data science experience, including data pipeline development, analytics infrastructure, modeling, and visualization, with a strong track record in startups. • Proven success building and scaling data science functions within a high-growth, fast-paced, ambiguous environment, thriving on autonomy and impact. • Proven ability to proactively manage your own priorities and dependencies in alignment with cross-functional dependencies and product/business impact • At least 2 years of experience in the delivery of analytics solutions in healthcare, particularly in medicine working with physicians. • Ability to translate complex data into actionable business insights • 5+ years with python, best practices for coding and documentation, 5+ years database experience (postgres, sqlserver, and snowflake) and distributed databases/warehousing (hadoop, databricks). • Ability to manipulate large data sets with high dimensionality and complexity • Experience integrating third-party datasets into existing data ecosystems • Hands-on experience with AI/ML techniques, including LLM, NLP, OCR and predictive analytics • Strong data visualization skills using tools such as Tableau • Strong technical understanding to partner with technical teams and discuss trade-offs/prioritization • Working in Azure or AWS • Bachelor's degree in data science, statistics, computer science, or related field