Senior Manager, Applied Science

United Statesvia Cohere Health CareersPosted Sep 21, 2026
Match with my CV

Technical skills

PythonData analysisData scienceAWSCloud platformsTechnical writing

Role signals

Recruiting

About this role

Opportunity Overview:

As the Sr. Manager, Applied Science, you will play a key role in building and scaling Cohere Health's AI capabilities. You'll lead a team of Applied Scientists focused on developing, evaluating, and deploying models that automate and augment complex clinical and administrative workflows.

This team is responsible for the full lifecycle of applied machine learning from problem framing, rigorous attention to methods and experimentation, to partnering with AI Engineering to deploy and monitor models. You'll work with structured and unstructured healthcare data to generate insights and power intelligent systems that improve prior authorization and broader clinical decision-making.

As a player-coach, you'll combine hands-on technical contributions with team leadership, helping to establish best practices, mentor team members, and drive high-impact solutions in close partnership with Product, Engineering, Clinical, and Analytics stakeholders. This is an opportunity to shape both the technical direction and team culture within a growing global organization.

This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events.

What you'll do

  • Lead, mentor, and develop a team of Applied Scientists, fostering a collaborative, high-performance environment
  • Translate complex healthcare business and clinical problems into scalable machine learning and data science solutions
  • Validate those solutions with methodological and statistical rigor to assure that our Clinical AI is reliable, reproducible, and safe
  • Partner with AI Engineering to scale those solutions to create real healthcare impact!
  • Partner cross-functionally with Clinical Operations, Product, Engineering, and platform teams to align technical research and validation work with business priorities
  • Communicate technical concepts, methodologies, and insights clearly to both technical and non-technical stakeholders
  • Contribute to recruiting, onboarding, and developing team members
  • What you'll need:
  • Must-haves
  • PhD with 7+ years experience or MS with 10+ years experience in machine learning, data science, or applied AI roles, of those a minimum 2+ years of experience leading and managing technical teams
  • Experiencing leveraging both modern language models (agentic or non-agentic LLM) and classical ML techniques in a production setting
  • Expertise in statistical methods, experimental design, and model evaluation
  • Proficiency in Python and experience with ML frameworks (e.g., PyTorch, scikit-learn)
  • AWS experience
  • Demonstrated track record of driving decision making by collaborating with business functions and product to accurately determine problem statements, form falsifiable hypotheses, and apply robust experimentation and analyses to drive toward valuable and robust solutions
  • Nice-to-haves
  • Experience in transactional healthcare (e.g., Utilization Management, Payment Integrity, Risk Adjustment, Quality, Care Management, etc)
  • Experience driving process automation in a healthcare setting using modern language models
  • Experience applying retrieval and relational extraction techniques to unstructured clinical notes and other patient history documentation
  • Pay & Perks:
  • šŸ’» Fully remote opportunity with about 15% travel
  • 🩺 Medical, dental, vision, life, disability insurance, and Employee Assistance Program
  • šŸ“ˆ 401K retirement plan with company match; flexible spending and health savings account
  • šŸļø Flex Time Off + company holidays
  • šŸ‘¶ Up to 14 weeks of paid parental leave
  • 🐶 Pet insurance

The salary range for this position is $225,000 to $240,000 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*:
  • Connect with Talent Acquisition for a Preliminary Phone Screening
  • Meet your Hiring Manager!
  • Behavioral Interview(s)
  • Case Study
  • *Subject to change

About Cohere Health

Cohere Health’s clinical intelligence platform and agentic AI-powered solutions connect health plans’ strategic goals and providers’ needs, optimizing the speed, cost, and quality of care. With an enterprise approach that streamlines payer-provider decision-making across the care continuum–including policy, prior authorization, payment accuracy, and more–the company improves collaboration and reduces burden, resulting in up to 8x ROI and 94% provider satisfaction.

With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validateā„¢, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.

Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the GartnerĀ® Hype Cycleā„¢ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedInā„¢ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners.

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.

#LI-Remote

#BI-Remote

Before you apply

  • 1Which parts of your CV prove experience with Python, Data analysis, and Data science?
  • 2Which recent work examples would make your application stronger for this role?
  • 3What details from the original source listing should you confirm before applying?

Loading similar active roles...