Senior Manager, Applied Science

Cohere Health; United States; Remote; USD 225,000 - 240,000; Full time

Benefits offered by this job

Fully remote opportunity

Travel ~15%

Health/dental/vision insurance

401K with company match

Flexible spending & HSA

Job summary

Cohere Health is seeking a Sr. Manager, Applied Science to lead a team of applied scientists in building, evaluating, and deploying ML models for clinical and administrative workflows.

The role focuses on end-to-end ML lifecycle, from problem framing to deployment, with collaboration across Product, Engineering, Clinical, and Analytics teams. This remote-first leadership position emphasizes hands-on contribution, mentorship, and setting best practices.

Qualifications

• PhD or MS with 7+ years in ML, data science, or applied AI, incl. 2+ years leading teams.
• Experience deploying ML models in production with rigorous experimentation.
• Strong collaboration with product, clinical, and analytics teams.

Responsibilities

• Lead a team of Applied Scientists and mentor them to deliver scalable ML solutions.
• Translate clinical problems into validated machine learning approaches with rigor.
• Partner with AI Engineering to deploy and monitor models in production.
• Communicate methods and insights to technical and non-technical stakeholders.
• Contribute to recruiting, onboarding and team development.

Skills

PhD/MS degree

Team leadership

ML production experience

Python/ML frameworks

AWS experience

Statistical methods

LLM techniques

Healthcare domain

Education

PhD or MS in ML/AI

Tools

Python

PyTorch

scikit-learn

AWS

Job description

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:

• Fully remote opportunity with about 15% travel


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


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


• Flex Time Off + company holidays


• 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 Validate™, 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 Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ 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.

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