Coherehealth

Data Scientist II, Cohere Health, Inc., Boston, Massachusetts (Remote)
Duties: Gather business requirements and apply trend analysis to identify actionable insights using analytic tools. Analyze healthcare claims and authorization data to identify outliers, interpret patterns, and assess trends and opportunities. Apply large language models (LLMs), stochastic optimization methods, and related technologies to support decision-making. Monitor industry trends, regulatory changes, and emerging fraud schemes to support detection strategy development, maintain methodology documentation, and present findings to leadership. Train, fine-tune, and implement LLMs and deep learning models for tasks such as anomaly detection, classification, and automated analysis of security-related or operational data. Analyze datasets to assess expected impacts and return on investment, including effects on medical expense, administrative cost, and clinical outcomes. Develop data models, algorithms, and simulations to support analytical objectives. Build visualizations and dashboards to communicate analytical findings and support business workflows.
This is a fully remote position and may be performed from anywhere within the United States. Occasional travel to company headquarters in the U.S. for onboarding, team meetings, and company events may be required.
Requirements:
Must have a Master’s degree in Data Science, Statistics, Biostatistics or related field (willing to accept foreign education equivalent) and 36 months of experience as Analyst or related position analyzing datasets.
Must possess three (3) years of experience (may be gained concurrently with above experience) in the following skills:
<ul>
<li>Analyzing healthcare datasets, including EMR/EHR data, medical and pharmacy claims data, and Social Determinants of Health (SDoH) data;</li>
<li>Performing data quality analysis to identify data quality issues, gaps, or inconsistencies;</li>
<li>Building scalable AWS Airflow pipelines to ingest, integrate, and transform terabytes of data using Python and PySpark and AWS S3 storage, and accelerate business decision-making in AWS Sagemaker; </li>
<li>Utilizing trend identification and data analysis methods such as regression analysis and outlier detection model in python, spark and sql.;</li>
<li>Building and implementing models, creating algorithms, and running simulations;</li>
<li>Developing Tableau visualization and partnering with product owners and stakeholders to drive enterprise-level solutions that integrate data science into business workflows; </li>
<li>Developing NLP, LLMs (extractive and generative), fine-tuning, and LLM model development.</li>
</ul>
Salary range is $137,000.00 to $161,000.00 per year for a 40-hour work week.
#LI-DNI
-
#BI-DNI
-

Data Scientist II

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:
<ul>
<li>Design and develop advanced machine learning algorithms for retrieval, classification and generative use cases.</li>
<li>Write and maintain reusable codebases to perform data preprocessing, model training, and model evaluation</li>
<li>Provide scientific and machine learning best practice guidance to junior engineers</li>
<li>Work cross-functionally with diverse stakeholders, including product managers, clinicians, and technical leadership to align ML solutions with Cohere’s core objectives.</li>
</ul>
What you’ll need:
Must-haves
<ul>
<li>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</li>
<li>Clear understanding of model building, model maintenance and the measures that optimize models for production use</li>
<li>Understand experimental design and can independently perform collection, measurement, and interpretation of results</li>
<li>Expert in Python with experience in deep learning frameworks (e.g., PyTorch)</li>
<li>Hands on experience building deep learning models (e.g., transformers) for NLP tasks</li>
<li>MS or PhD required</li>
</ul>
Nice-to-haves
<ul>
<li>Experience with generative AI or Retrieval Augmented Generation (RAG)</li>
<li>Experience working with unstructured healthcare data (e.g., clinical notes)</li>
<li>Experience with OCR or image-based document understanding techniques</li>
<li>Hands on experience using AWS tools such as SageMaker Studio </li>
</ul>
ISMS roles and responsibilities 
<ul>
<li>Good knowledge of Information practices.</li>
<li>Assist the manager in all the information security activities implementation and maintenance process.</li>
<li>Ensuring the  team and imparted with Competence related to Information security</li>
<li>Responsible for implementation of security policies and procedures and report any issues to the Information Security Manager.</li>
</ul>
Ability to commute/relocate:
<ul>
<li>Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred)</li>
</ul>
Interview Process*:
<ol>
<li>Connect with Talent Acquisition </li>
<li>Meet with the Hiring Manager</li>
<li>Behavioral Interview(s)</li>
<li>Case Study</li>
<li>Interview with Senior Leadership</li>
</ol>
*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 &amp; 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.

Lead Applied Scientist

Opportunity Overview:
This is an excellent opportunity for an outstanding Lead Healthcare Analystto join a Series C digital health company. You will work closely with clinicians, program implementation, operation experts, informaticists, data scientists, and actuaries to support data-driven clinical programs. These programs are essential in improving a) payor/provider/patient collaboration, b) quality of care and patient outcomes, and c) healthcare utilization and spending efficiency. The work will be fast-paced and project-based, with evolving needs requiring adaptability, curiosity, and grace under pressure.  
What you’ll do:
<ul>
<li>Cultivate a deep understanding of Cohere’s clinical content, UM products and clinical programs and use analytics to produce insights to drive program effectiveness and value for internal business partners and clients.</li>
<li>Lead clinical analytics projects, collaborating with multi-disciplinary partners, to understand business needs, clinical nuances, formulate plans, build and maintain analytical and reporting solutions.</li>
<li>Independently lead in-depth analyses and Identify optimization opportunities by applying statistical data mining, and predictive modeling methods on administrative and clinical health data.</li>
<li>Track cost, utilization, and industry trends to inform stakeholders of product performance and provide data-driven insights around opportunities to optimize clinical value for patients, providers and payors.</li>
<li>Collaborate with clinical, account management, data science, and engineering partners to refine Cohere’s product features and client support.</li>
<li>Foster a collaborative and innovative culture, mentor junior analysts.</li>
<li>Maintain meticulous documentation and present findings or recommendations to company leadership and internal stakeholders</li>
</ul>
What you’ll need:
<ul>
<li>Work experience:</li>
<ul>
<li>7+ years of experience working in a big-data analytics role.</li>
<li>2+ years of hands-on project leadership experience in the healthcare industry.</li>
</ul>
<li>Collaboration: Experience interfacing with internal and external business stakeholders on the development and read out of client and program specific KPIs.</li>
<li>Data Analysis and Interpretation: Ability to use statistical analysis and modeling tools (such as SQL and Python) to extract insights from complex healthcare data, interpret trends, and derive actionable recommendations.</li>
<li>Healthcare Knowledge: Understanding of healthcare systems, medical terminologies, clinical workflows, and experience with large data sets including medical claims, pharmacy, and eligibility data.</li>
<li>Data Visualization: experience developing dashboards and self service business intelligence tools such as Tableau.</li>
<li>Communication Skills: Strong verbal and written communication skills required.</li>
<li>Project Execution: Experience owning complex projects, coordinating with multidisciplinary teams, setting goals, and meeting deadlines for multiple ongoing projects.</li>
<li>Problem-Solving and Critical Thinking: Ability to identify issues within healthcare data, devise solutions, and think critically to develop scalable solutions to problems.</li>
<li>Education: Bachelor’s degree in a healthcare or quantitative discipline such as Epidemiology, Economics, Statistics, Data Science, Health Informatics, Public Health or related field required.</li>
</ul>
Bonus:
<ul>
<li>Experience with clinical and utilization management programs for specialty care (e.g.  musculoskeletal, cardiology, imaging, oncology, pharmacy).</li>
<li>Experience working with unstructured data from EMR/EHR systems (e.g. office visit notes, imaging reports).</li>
<li>Familiarity with AWS Athena and Sagemaker.</li>
<li>Master’s degree in healthcare or quantitative field.</li>
</ul>
Pay &amp; Perks:
💻 Fully remote opportunity with about 5% travel
🩺 Medical, dental, vision, life, disability insurance, and Employee Assistance Program 
📈 401K retirement plan with company match; flexible spending and health savings account 
🏝️ Flexible Time Off + Company Holidays
👶 Up to 14 weeks of paid parental leave 
🐶 Pet insurance  
The salary range for this position is $112,000 to $125,000 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*:
<ol>
<li>Connect with Talent Acquisition for a Preliminary Phone Screening</li>
<li>Meet your Hiring Manager!</li>
<li>Case Study and Presentation </li>
<li>Team Interview</li>
<li>Leadership Interview</li>
</ol>
*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 &amp; 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 <a href="https://coherehealth.com/our-story" rel="noopener noreferrer ugc" target="_blank">our core values and principles</a>. 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

Lead Healthcare Analyst

Opportunity Overview: 
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.
We’re seeking a Senior Software Engineer to join our Data Platform team and take ownership of designing and delivering large-scale, reliable, and governed data pipelines that power analytics, operations, and clinical intelligence across Cohere Health. This role is ideal for an engineer who thrives on solving complex data challenges, mentoring others, and raising engineering standards while contributing to scalable and sustainable platform growth.
As a Senior Software Engineer of the data platform team, you’ll operate across the end-to-end data lifecycle—from ingestion to transformation to integration—driving solutions that align with architectural best practices, governance needs, and business outcomes. You’ll partner closely with analytics engineers, architects, and product stakeholders to ensure that data products are performant, compliant, and trustworthy.
What you’ll do:
<ul>
<li>Lead the design and implementation of complex data pipelines and infrastructure across multiple domains</li>
<li>Mentor junior engineers, sharing expertise and raising team-wide engineering standards</li>
<li>Implement and enforce data quality, schema validation, and observability practices to ensure trustworthy outputs</li>
<li>Contribute to architecture discussions and tool evaluation, helping to shape platform scalability and governance alignment</li>
<li>Write clean, maintainable, and testable code in Python and SQL, following best practices in version control, CI/CD, and documentation</li>
<li>Optimize and monitor production workflows using tools such as Airflow, dbt, Athena, EMR, Kafka, and Iceberg/Parquet</li>
<li>Collaborate with cross-functional stakeholders (analytics, product, compliance) to ensure technical solutions meet business needs</li>
<li>Participate in on-call rotations to support critical platform jobs and reduce operational disruptions</li>
<li>Champion a culture of excellence, accountability, and continuous improvement through code reviews, documentation, and knowledge sharing</li>
</ul>
What you’ll need:
<ul>
<li>Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field is required</li>
<li>5+ years of experience in data engineering or software development with a strong focus on data infrastructure</li>
<li>Demonstrated success designing and delivering large-scale, reliable, and governed data infrastructure projects</li>
<li>Track record of building and maintaining production grade systems using APIs</li>
<li>Strong proficiency in Python and SQL, with experience applying software engineering rigor to data workflows (testing, version control, observability)</li>
<li>Hands-on experience with modern data tools such as Airflow, dbt, AWS (EMR, Athena, S3), Iceberg, Parquet, and Kafka</li>
<li>Track record of mentoring engineers and raising team-wide engineering standards through code reviews, documentation, and knowledge sharing</li>
<li>Ability to work effectively in a fast-paced, agile environment, collaborating across technical and non-technical stakeholders</li>
<li>Experience with healthcare data (claims, eligibility, clinical, EHR) is strongly preferred</li>
<li>Understanding of data security, privacy, and compliance practices (HIPAA or similar) in pipeline and platform design</li>
<li>Experience with snowflake, Databricks is a plus</li>
<li>Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field is a plus</li>
</ul>
 
Pay &amp; Perks:
💻 Fully remote opportunity with about 5% 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 $135,000 to $160,000 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*:
<ol>
<li>Connect with Talent Acquisition for a Preliminary Phone Screening</li>
<li>Meet your Hiring Manager!</li>
<li>Feature Design</li>
<li>System Design</li>
<li>Behavioral Interview</li>
</ol>
*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 &amp; 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 <a href="https://coherehealth.com/our-story" rel="noopener noreferrer ugc" target="_blank">our core values and principles</a>. 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

Senior Software Engineer, Data Platform

Opportunity Overview:
We are seeking a Sr Business Intelligence Engineer to join our Intelligence team. In this role, you will drive the development and optimization of our analytical infrastructure, enabling efficient, scalable, and consistent reporting and analytics across the organization. You will play a critical role in shaping the foundation of our BI ecosystem—working at the intersection of engineering, data modeling, and stakeholder enablement.
This is an ideal opportunity for an experienced BI engineer who can execute cross-functional projects, design performant data models, and contribute to the execution of a unified data strategy across platforms. You will also provide guidance and mentorship to junior team members and contribute to the evolution of Cohere’s modern data stack and governance practices.
What you’ll do:
<ul>
<li>Lead the execution and refinement of our business intelligence and analytics architecture, ensuring consistency, performance, and scalability across dashboards and self-service tools.</li>
<li>Design and implement robust semantic and dimensional data models supporting operational, clinical, and strategic analytics use cases.</li>
<li>Collaborate closely with data platform, analytics, and product teams to define shared data definitions, build source-of-truth datasets, and align transformations with stakeholder needs.</li>
<li>Improve data pipeline efficiency and maintainability by establishing and enforcing best practices in dbt modeling, testing, and documentation.</li>
<li>Support release management, quality testing, version control, and promotion of analytics assets across environments.</li>
<li>Enable data providers and analysts to deliver high-impact dashboards and KPI frameworks using Tableau, with an emphasis on performance, usability, and governance.</li>
<li>Serve as the primary Tableau Cloud SME for the organization, including user management, security, performance tuning, and environment configuration.</li>
<li>Lead integration of Tableau dashboards into front-end web applications using the Tableau APIs (embedding, authentication, filtering, and automation).</li>
<li>Identify and remediate performance bottlenecks across queries, data models, and dashboards to ensure efficient access to high-volume datasets.</li>
<li>Drive adoption of scalable, governed data marts that balance self-service enablement with data integrity, security, and compliance.</li>
<li>Mentor and functionally lead junior engineers and analysts by providing technical guidance, conducting design reviews, and reinforcing BI and data engineering best practices.</li>
<li>Contribute to shared documentation, standards, and operating processes to ensure long-term sustainability and trust in our analytics ecosystem.</li>
</ul>
ISMS roles and responsibilities
<ul>
<li>Fair understanding of Information Security practices. </li>
<li>Align to the organization policies and procedures.</li>
<li>Ensure to get updated with ISMS roles as assigned by the department/process heads.</li>
</ul>
Required Qualifications:
<ul>
<li>3+ years of professional experience in business intelligence, analytics engineering, or data engineering, preferably in healthcare or another data-rich, regulated domain.</li>
<li>Expert-level proficiency in SQL and strong hands-on experience with modern BI and analytics engineering frameworks (e.g., dbt or similar).</li>
<li>Extensive experience working with healthcare data domains such as claims, members, providers, eligibility, authorizations, or utilization management.</li>
<li>Deep expertise in Tableau (Cloud, Desktop, Prep), including Tableau APIs, dashboard embedding, row-level security, performance optimization, and administration.</li>
<li>Proven experience designing scalable data models that support both enterprise reporting and ad hoc analysis.</li>
<li>Strong understanding of dimensional modeling principles, normalization vs. denormalization tradeoffs, and analytical performance tuning.</li>
<li>Experience with workflow orchestration tools such as Airflow.</li>
<li>Hands-on experience working in AWS-based data platforms.</li>
<li>Demonstrated ability to mentor or functionally lead a small team, providing technical direction and enforcing standards.</li>
<li>Excellent communication and stakeholder management skills, with the ability to translate technical decisions into business value.</li>
</ul>
Ability to commute/relocate:
<ul>
<li>Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred)</li>
</ul>
Interview Process*:
<ol>
<li>Connect with the TAP for a Preliminary Phone Screening</li>
<li>Meet with your Hiring Manager</li>
<li>Technical Deep Dive </li>
<li>Case Study</li>
<li>Interview with Senior Leadership</li>
</ol>
*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 &amp; 2024.
We can’t wait to learn more about you and meet you at ZignaAI, a Cohere Health company!
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.

Coherehealth

Open jobs at Coherehealth

Data Scientist II

Lead Applied Scientist

Lead Healthcare Analyst

Senior Software Engineer, Data Platform

Business Intelligence Engineer

Working for Coherehealth?

Featured companies