Lead Applied Scientist
Cohere Health
Salary undisclosed
Need a reasonable accommodation to apply or interview? Contact us.
JobMinglr uses automated technology to recommend jobs based on profile information and job preferences. Match Score does not determine eligibility for a position, prevent a user from viewing or applying to a job, or make hiring decisions on behalf of an employer.
Description
Opportunity Overview:
As a Lead Applied Scientist, you’ll join our growing team of world-class applied scientists and clinical experts to deploy machine learning models that help automate burdensome administrative clinical practices.
Our AS team’s work is focused on designing, prototyping, and partnering with AI Engineering to deploy and monitor production models which extract or predict relevant clinical findings from structured and unstructured data sources.
What you’ll do:
- Design and develop advanced machine learning algorithms for retrieval, classification and generative use cases.
- Write and maintain reusable codebases to perform data preprocessing, model training, and model evaluation
- Provide scientific and machine learning best practice guidance to junior engineers
- Work cross-functionally with diverse stakeholders, including product managers, clinicians, and technical leadership to align ML solutions with Cohere’s core objectives.
What you’ll need:
Must-haves
- Minimum 7+ years of experience in applied ML with a masters degree or 5+ years with a PhD, ideally in a senior or lead role in a large technology or healthcare company
- Clear understanding of model building, model maintenance and the measures that optimize models for production use
- Understand experimental design and can independently perform collection, measurement, and interpretation of results
- Expert in Python with experience in deep learning frameworks (e.g., PyTorch)
- Hands on experience building deep learning models (e.g., transformers) for NLP tasks
- MS or PhD required
Nice-to-haves
- Experience with generative AI or Retrieval Augmented Generation (RAG)
- Experience working with unstructured healthcare data (e.g., clinical notes)
- Experience with OCR or image-based document understanding techniques
- Hands on experience using AWS tools such as SageMaker Studio
ISMS roles and responsibilities
- Good knowledge of Information practices.
- Assist the manager in all the information security activities implementation and maintenance process.
- Ensuring the team and imparted with Competence related to Information security
- Responsible for implementation of security policies and procedures and report any issues to the Information Security Manager.
Ability to commute/relocate:
- Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred)
Interview Process*:
- Connect with Talent Acquisition
- Meet with the Hiring Manager
- Behavioral Interview(s)
- Case Study
- Interview with Senior Leadership
*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 expanded our AI-native platform with a comprehensive Payment Integrity Suite that spans data mining, clinical and coding validation, authorization and claims reconciliation, and end-to-end payment integrity services across pre- and post-pay workflows. By connecting clinical and payment insights, our transparent, AI-powered solutions help health plans proactively improve payment accuracy, reduce waste and vendor dependency, strengthen provider relationships, and build smarter, more efficient payment integrity programs.
Cohere Health’s innovations continue to receive industry-wide recognition. We’ve been recognized on TIME’s World Top HealthTech Companies 2025 list, the 2025 Inc. 5000 list, in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024.
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.
About this role
Cohere Health is looking for a Lead Applied Scientist to design and deploy machine learning models that streamline administrative and clinical workflows in healthcare. You'll work on retrieval, classification, and generative tasks using structured and unstructured clinical data, partnering with AI engineers, product managers, and clinicians to move models from prototype to production. The role combines technical depth—building and maintaining reusable ML pipelines, optimizing models for real-world deployment, and mentoring junior engineers—with the responsibility to ensure solutions align with the company's broader objectives in healthcare automation.
You'll need at least 7 years of applied ML experience (or 5+ with a PhD) ideally in a senior capacity at a large tech or healthcare company, with proven expertise in Python, deep learning frameworks like PyTorch, and hands-on NLP work with transformers. A master's degree or PhD is required. Strong candidates will have experience with generative AI, RAG systems, clinical data, OCR, and AWS tools like SageMaker, though these are not mandatory. You should be comfortable designing experiments independently, interpreting results rigorously, and translating model performance into production-ready systems.
This is a full-time, in-office role based in Hyderabad, Telangana. The interview process includes conversations with talent acquisition and the hiring manager, behavioral interviews, and a case study with senior leadership.
How this employer is doing
average
- H1B: Sponsors Visas
- Sponsors Visas
This role's local market on JobMinglr
Pay for this role
The employer didn't post a pay range for this role. That usually means pay is set in negotiation, which favors whoever arrives with numbers. Check ranges on comparable Lead Applied Scientist postings in Hyderabad Telangana, and analyze any offer before you accept it.
Before you apply, worth reading
How JobMinglr reads this job
Every listing here is scored against your profile before you apply: skills overlap, experience level, location and work arrangement, each weighted and explained. You see the score and the reasons, not just a list. How the matching works.