Lead Data Scientist

Coherehealth
Hyderabad; Telangana, IN
Career-pivot friendly

Who this role is best for

Best suited to senior data scientists with healthcare domain expertise who thrive in ambiguous problem spaces and cloud-based ML deployments.

Best fit for

  • Healthcare data veterans comfortable with NLP model tuning and claims data complexity.
    — “Experience applying data science solutions on healthcare data
  • Senior ICs who own ambiguous problems from framing to scalable delivery.
    — “owning complex problem spaces end-to-end
  • Cloud-savvy practitioners adept at operationalizing models in AWS environments.
    — “scaling data science solutions in cloud environments

Things to consider

  • Individual contributor path with mentoring expectations but no people management.
    — “senior individual contributor

How to stand out

  • Showcase prior work translating clinical questions into analytical frameworks.
    — “translate business and clinical questions into structured analytical approaches
  • Highlight specific transformer model implementations for healthcare NLP tasks.
    — “tuning and evaluating ML models for NLP tasks
  • Demonstrate executive communication through case studies of complex insights.
    — “Communicate findings clearly through data visualization, storytelling
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · CompanyLevel · Lead

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • data_driven_strategies
  • model_development
  • product_optimization
Typical background
data_sciencehealthcare

Skills & requirements

Required

Data_scienceStatistical_modelingMachine_learning

Preferred

Healthcare_dataDistributed_data_processing

Stack & domain

PythonStatistical ModelingMl ModelsNlp TasksCloud EnvironmentsCommunicationHealthcareData Science

About the role

Original posting from Coherehealth via Greenhouse

Opportunity Overview:

As a Lead Data Scientist at Cohere Health, you will drive high-impact analytics and modeling initiatives that directly inform product development, clinical strategy, and business decision-making. You’ll operate as a senior individual contributor, owning complex problem spaces end-to-end, from framing ambiguous questions to delivering actionable insights and scalable solutions.

You’ll partner closely with Product, Clinical, and Engineering teams to translate real-world healthcare challenges into data-driven strategies, while helping elevate analytical rigor and best practices across the team. This role is ideal for someone who thrives in a fast-paced, mission-driven environment and wants to make a meaningful impact on how care is delivered.

What you’ll do:

Own and execute end-to-end analytical projects, from problem framing and data exploration to model development and delivery of insights

Partner with cross-functional stakeholders to translate business and clinical questions into structured analytical approaches

Develop advanced statistical models and analytical frameworks to drive decision-making and optimize outcomes

Design and implement experiments, performance tracking, and hypothesis-driven analyses to inform product and clinical strategies

Build scalable, reusable code and analytical assets to support ongoing insights and operationalization

Communicate findings clearly through data visualization, storytelling, and executive-ready presentations

Contribute to team best practices and mentor junior team members through guidance and review

What you’ll need:

Must-haves

6+ years of experience in data science, ideally in healthcare or a mission-driven environment

Strong experience translating ambiguous problems into structured analytical solutions

Expertise in statistical modeling, experimentation, and data analysis methods

Hands-on experience tuning and evaluating ML models for NLP tasks (e.g., transformers, large language models)

Experience building and scaling data science solutions in cloud environments (e.g., AWS)

Expertise in Python programming language

Experience working with large, complex datasets (e.g., claims, EMR, or similar)

Ability to communicate complex insights to both technical and non-technical audiences

Nice-to-haves

Experience applying data science solutions on healthcare data (EMR, claims, SDOH data)

Familiarity with distributed data processing (e.g., PySpark, Spark SQL)

Experience with search or graph-based data systems (e.g., Elasticsearch, graph databases)

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 delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.

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, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.

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.

 

 

Source: Coherehealth careers (Greenhouse)

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