Senior Manager/Director of Data Science, Komodo Health

• Analytical mindset: You solve complex business problems with analytics
• Client service-orientation: You understand client needs and how to develop solutions to address them
• Strong communication skills: You are comfortable presenting to stakeholders at all levels (technical and non-technical) and distilling complex topics and analyses into easy-to-follow and compelling narratives
• Healthcare or other related experience: You are familiar with life sciences needs, such as patient journey analytics, HCP engagement and segmentation, and market landscape assessments
• Data-driven mindset: You are able to dig into the data both within Komodo’s Healthcare Map and across external data sources that we receive from partners and customers to synthesize insights
• Problem-solving skills: You demonstrate strong logical thinking and an ability to see patterns
• Partnership mentality: You effectively collaborate with data science, account managers, sales, product, and clients to guide analyses, synthesize results, and share feedback
• Curiosity: You demonstrate an interest and aptitude for constant learning and regularly seek and welcome feedback and help from colleagues
• Flexible attitude: You adapt to changing environments and solve problems from new angles; you know how to manage ambiguity
• Proficiency in quantitative reasoning: You understand the basics of data science and classical statistics and can use that knowledge to scope out a client solution
• Consultative mindset: You identify and proactively offer recommendations based on observed insights
• You must have: at least five years of industry experience working with large-scale databases and leveraging Python and SQL (notably Snowflake for data querying, cleaning, and transformation); advanced Excel skills; experience translating analytic insights into PowerPoint or dashboards; prior life sciences or other healthcare experience analyzing claims data to inform business decisions; management experience and experience scaling a data science team
• Applies AI strategically, knowing how to use the right tools at the right time to solve problems or generate new ideas
• Uses AI to accelerate feedback loops, test ideas, and make informed decisions faster
• Applies both judgment and creativity when working with AI and understands its limitations
• Demonstrates curiosity and initiative in exploring new AI tools and workflows relevant to their role
• Has developed or shared AI-enhanced workflows, automations, or prompts with others
• Brings a reflexive AI mindset and uses AI as a natural part of their process to iterate, research, and deliver better work
• Comfortable working in AI-enhanced environments across writing, data analysis, content creation, or design
• Regularly leverages AI tools such as Notion AI, Perplexity, Claude, Descript, Runway, Midjourney, or Microsoft Copilot i.e. to improve speed, clarity, or creative output

Desirable

• The Analytics team at Komodo Health provides high-quality analytics and thought partnership to answer both our prospective and current clients’ key business questions and ultimately serve our mission to reduce disease burden
• In this role, you will lead this team, which has a mandate to build analytics pipelines and tables and draw key insights from Komodo data and products, as well as partner with internal and external stakeholders to understand business needs, with a goal to drive customer retention
• You will also collaborate with internal teams to identify ways to enhance and scale our products and analytics offerings
• Looking back on your first 12 months at Komodo Health, you will have accomplished…
• Supervised high-value data analytics projects
• Led the development of a data science team focused on both presales analytics and managed services projects
• Effectively partnered with internal and external teams to translate client requirements into analytics to solve client needs, leveraging Komodo data and products
• Acquired a thorough understanding of the Komodo Healthcare Map and how to apply it to answer critical healthcare questions
• Developed an understanding of patient-level data and proficiency in our key offering areas, including patient journey, line of therapy, HCP segmentation, and market landscape assessments
• Identified and implemented ways to scale our solutions, automate code, and centralize complex logic for repeatability. Advocated for effective and consistent data science practices within the team with cross-functional stakeholders
• Presented analytical results and insights to internal and external partners, including technical and non-technical stakeholders
• Contributed to the growth and development of the team through the onboarding and training of new members