Senior Manager, Machine Learning

Opportunity Overview:

At Cohere Health our Machine Learning Team is focused on using a variety of payer and provider data to automate and augment the prior authorization process. As a leader on the Machine Learning team you have the opportunity to work with extremely complex data and methodologies in a fast-paced, rapidly-evolving landscape answering critical business and clinical questions. The team is responsible for an end-to-end applied research process, starting from business problem articulation, to designing a comprehensive scientific experimentation plan to drive business impact, to optimal solution design for the given problem constraints. By combining modern analytic tools, methodologies, and tools to meet challenging and open-ended business requests, this crucial role molds our analysis and builds data-driven analytics products. You will also have the opportunity to provide mentorship to the team and serve as a key liaison for data science with the rest of the company.

Last but not least: People who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

What you’ll do:

• Provide thought leadership & strategic thinking to translate business problems into analytical frameworks, and independently recommend actions and provide business insights
• Collaborate with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations
• Establish and maintain effective performance tracking; identify product and program improvement opportunities, form hypotheses, propose, design and implement tests to drive enhancement and optimization
• Lead a team of machine learning engineers to execute multiple projects at any given time, utilizing different skill sets where applicable
• Foster a collaborative and innovative culture, set clear goals, mentor staff.
• Establish best practices and coach junior members to develop and execute with scalability and reusability in mind
• Communicate machine learning concepts, project results, and actionable insights to senior leadership and non-technical stakeholders.

What you’ll need:

• 7+ years of experience in machine learning, with at least 3 years of management experience hiring and developing teams
• Advance degree (MS or Ph.D.) in a quantitative field, Statistics, Math, Economics, Engineering, Computer Science, Business Analytics, Machine Learning.
• Solid understanding and experience in machine learning algorithms, statistics, pattern recognition, classification, and data mining models.
• Advanced understanding on NLP and large language models.
• Strong software development skills with proficiency in Python. Experienced user of ML and data science libraries.
• Proven track record in building and scaling teams, including recruitment, mentoring, and performance management.
• Ability to meaningfully present results of analyses in a clear and impactful manner. Able to break down sophisticated machine learning model knowledge to digestible information for non-technical audiences.
• Expertise in translating complex business problems into end-to-end machine learning products with a quantifiable business impact
• Health-tech experience highly preferred

Pay & Perks:

💻 Fully remote opportunity with about 5% travel

🩺 Medical, dental, vision, life, disability insurance, and Employee Assistance Program 

📈 401K retirement plan with company match; flexible spending and health savings account 

🏝️ Up to 184 hours (23 days) of PTO per year + company holidays

👶 Up to 14 weeks of paid parental leave 

🐶 Pet insurance  

The salary range for this position is $200,000 to $225,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment.

Interview Process*:

1. Connect with Talent Acquisition for a Preliminary Phone Screening
2. Meet your Hiring Manager!
3. Peer Interview
4. Case Study Interview
5. Final Interview

*Subject to change

About Cohere Health:

Cohere Health is a fast-growing clinical intelligence company that’s improving lives at scale by promoting the best patient-specific care options, using cutting-edge AI combined with deep clinical expertise. In only four years our solutions have been adopted by health plans covering over 15 million lives, while our revenues and company size have quadrupled.  That growth combined with capital raises totaling $106M positions us extremely well for continued success. Our awards include: 2023 and 2024 BuiltIn Best Place to Work; Top 5 LinkedIn™ Startup; TripleTree iAward; multiple KLAS Research Points of Light awards, along with recognition on Fierce Healthcare's Fierce 15 and CB Insights' Digital Health 150 lists.

The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

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