Senior Manager of Machine Learning, Cohere Health
$200-225k
+ Bonus
More information about location
Simplifying healthcare for patients and their doctors
Posted today
Simplifying healthcare for patients and their doctors
501-1000 employees
Posted today
$200-225k
+ Bonus
More information about location
501-1000 employees
Company mission
To make the healthcare journey better for everyone.
Role
Who you are
- People who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles
- 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
What the job involves
- 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
- You'll 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
Application process
- Connect with Talent Acquisition for a Preliminary Phone Screening
- Meet your Hiring Manager!
- Peer Interview
- Case Study Interview
- Final Interview
Our take
Every year, billions of dollars are wasted in healthcare through overtreatment, failure of care coordination, and administrative complexity. Cohere Health blames this on the prior authorization process, a time-consuming manual system that the company aims to modernize with its CohereNext platform.
Cohere Health's platform automates the authorization process to help avoid care delays and friction between parties, while also providing analytics to identify the most suitable physicians and care paths for the patient. While there are a host of other solutions that also automate these tasks, Cohere claims to stand out by improving the whole patient journey, rather than just automating an administrative transaction.
Through partnerships with organizations like Humana and the American Academy of Orthopaedic Surgeons, Cohere Health serves millions of members and thousands of physicians. By securing impressive funding, the company has been able to scale beyond its pandemic-era initial success, to be recognized as a top player in the space. Its latest release is "Cohere Unify", an end-to-end solution for administrative efficiency that is driven by advanced analytics and AI/ML algorithms.
Steph
Company Specialist at Welcome to the Jungle
Insights
35% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
May 2025
$90m
SERIES C
Feb 2024
$50m
LATE VC
Total funding: $196m
Company benefits
- Medical Insurance
- Dental Insurance
- Vision Insurance
- Life & Disability Insurance
- Flexible Time Off & Holidays
- 401(K) Retirement Plan with Employer Match Program
- Wellness Coach App
- Parental Leave
- Learning & Development Opportunities
Company HQ
West End, Boston, MA
Leadership
Siva Namasivayam
(CEO)Worked as a Software Engineer for Intel before working at Fidelity and spending 4 years as a Gartner Director of Consulting. They were CEO of SCIO Health Analytics before co-founding Cohere Health.
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