Prepare for and practice interview questions from Cohere Health.

Cohere Health Interview Questions

A/B Testing

Algorithms

Analytics

Machine Learning

Probability

Product Metrics

Python

Statistics

Cohere Health Interview Guides

Cohere Health is a dynamic and rapidly expanding clinical intelligence company dedicated to revolutionizing healthcare through the power of AI and deep clinical expertise. Founded in 2019, our mission is to eliminate the inefficiencies and friction points in patient care, ensuring that the focus remains on health rather than administrative hurdles. Our innovative solutions have already been embraced by health insurance plans covering over 15 million people, driving our exponential growth and securing awards like the BuiltIn Best Place to Work and the Top 5 LinkedIn Startup.
In this guide, we'll dive into Cohere Health's interview process, share insights from candidates' experiences, and outline what it takes to join this pioneering company.
We can’t wait to learn more about you and meet you at Cohere Health!

Cohere Health is a dynamic and rapidly expanding clinical intelligence company dedicated to revolutionizing healthcare through the power of AI and deep clinical expertise. Founded in 2019, our mission is to eliminate the inefficiencies and friction points in patient care, ensuring that the focus remains on health rather than administrative hurdles. Our innovative solutions have already been embraced by health insurance plans covering over 15 million people, driving our exponential growth and securing awards like the BuiltIn Best Place to Work and the Top 5 LinkedIn Startup.

In this guide, we'll dive into Cohere Health's interview process, share insights from candidates' experiences, and outline what it takes to join this pioneering company.

We can’t wait to learn more about you and meet you at Cohere Health!

Overview

Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.

What factors could have biased this result, and what would you look into?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

In an A/B test, how can you check if assignment to the various buckets was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

Random Bucketing

A/B Testing & Experimentation

We are looking for innovative and creative individuals who seize opportunities to uncover hidden drivers, impacts, and key influences to support our product, leadership and clinical teams by applying optimization and statistical methods on a variety of data. You will work closely with the clinical program and product teams to support decision-making and will dig into a wide range of strategic and clinical problems.
As a growing organization, we have built a team of talented and experienced people who are passionate about helping providers and patients and this is a position that offers the ability to make a substantial impact on the company with rapid growth opportunities. You will be part of a growing data science team within the technology organization.
What you’ll do:
• Play a key role in gathering business requirements, using them for trend analysis and uncovering actionable insights, and writing technical requirements; using a variety of analytic tools
• Perform in-depth analysis of healthcare data coupled with data from product and other sources to independently design, develop, and deliver analytic deliverables that meet quality, cost and service objectives
• Leverage a variety of cutting-edge technologies, including LLM and stochastic optimization, to support faster and better decision making
• Train, fine-tune, and deliver LLMs and advanced deep learning models for tasks such as anomaly detection, threat classification, and automated analysis of security data.
• Leveraging data from various sources, e.g., eligibility, medical, pharmacy claims, and data submitted by providers via the prior authorization process, working with Clinical Programs to analyze and simulate expected impact and ROI, e.g., medical expense, administrative cost, improved quality and outcomes
• Present information using data visualization techniques and propose solutions and strategies to business challenges
• Be able to manage data science projects with some supervision, including understanding business impact, defining scope, setting timeline, methodology, stakeholder communication, deployment, production monitoring and success metrics
What you’ll need:
• 2+ years analytical experience at company where health outcomes were critical to the mission, preferably a healthcare analytics company or population health organization
• Proficient in current modeling approaches, standard scientific methods for intervention based analysis, trend identification, and data analytics
• Strong experience using a variety of data mining/data analysis methods, utilizing a variety of analytic tools, building and implementing models, creating algorithms and running simulations
• Knowledge of NLP, LLMs (extractive and generative), fine-tuning and LLM model development, familiar with higher level trends in LLMs and open-source platforms
• Experience with graph database managing clinical concept is a big plus
• Experience with programming languages (Python, R, PySpark, Scala and/or Spark SQL)
• Strong interest and understanding of EMR data, Claims and SDOH data
• Experience with data visualization tools such as Tableau and Kibana, preferred
• Bachelor’s or Master’s degree in STEM, public health, biostatistics, economics, or other related field
• Experience with Amazon AWS cloud platform (preferred)

We are looking for a Machine Learning Engineer l and Machine Learning Engineer ll to join our team! Our ML team’s work is focused on designing, deploying, and monitoring production models which extract or predict relevant clinical findings from structured and unstructured data sources.
In this role, you’ll join our growing team of world-class engineers, statisticians, and clinical experts to deploy machine learning algorithms that help automate burdensome administrative clinical practices. You will be tasked with finding the most promising opportunities for impact and then delivering on them. This is a unique opportunity to join a high caliber engineering team that is growing quickly. You will build impactful healthcare technology on a modern tech stack.
What you’ll do:
• Perform in-depth analysis of healthcare data to independently design, develop, and deliver clinical ML models.
• Build reliable and scalable production machine learning systems
• Work on feature engineering, statistical analysis, developing novel ML techniques, understanding performance, and improving model run time.
• Work cross-functionally across diverse stakeholders, including product managers, statisticians, clinicians, and clinical analysts.
What you’ll need:
• You have 1-4 years full time professional experience in ML
• You have an MS in computer science, machine learning, computational linguistics, statistics, mathematics or similar field
• You have hands on experience building with modern language models, including context-engineering LLMs or fine-tuning SLMs
• You understand scientific best practice in experimental design and can independently perform data collection, measurement, and interpretation of results
• You have experience configuring, training, evaluating, deploying, and maintaining models in a production setting
• Advanced proficiency in Python and familiarity with ML frameworks such as PyTorch.
Bonus points for:
• Experience with healthcare data such as claims and EMR data
• Knowledge of NCQA HEDIS guidelines and CMS STARS specifications
• Experience extracting unstructured clinical data concepts from clinical data (such as EMR or Utilization Management data)
• Experience with OCR
• Experience with graph databases or network analysis
• Hands on experience using AWS tools such as SageMaker Studio and Neptune

We are looking for innovative and creative individuals who seize opportunities to uncover hidden drivers, impacts, and key influences to support our product, leadership and clinical teams by applying optimization and statistical methods on a variety of data. You will work closely with the clinical program and product teams to support decision-making and will dig into a wide range of strategic and clinical problems.
As a growing organization, we have built a team of talented and experienced people who are passionate about helping providers and patients and this is a position that offers the ability to make a substantial impact on the company with rapid growth opportunities. You will be part of a growing data science team within the technology organization.
What you’ll do:
• Drive strategic data science initiatives that focus on preventing and identifying

healthcare fraud, waste and abuse.
• Serve as a subject matter expert on identifying and discovering claim and authorization outliers and interpret and analyze data to demonstrate key insights into trends and opportunities.
• Independently lead in-depth analyses of a variety of healthcare and product data sources to investigate suspicious activities, and prepares detailed reports of their findings
• Stay up-to-date with the latest industry trends, regulatory changes, and emerging fraud schemes to enhance detection strategies. This role requires maintaining meticulous methodology documentation and presenting findings or recommendations to leadership group
• Present information using data visualization techniques and propose solutions and strategies to business challenges
What you’ll need:
• MSc or higher degree in a data science/ analytics, statistics, mathematics, engineering related field
• 7+ years hands-on data science experience at company where health outcome performance were critical to the mission, preferably a healthcare insurance company
• Strong communication skills with the unique ability to translate business needs from stakeholders into data science technical requirements and translate data science results back to business and clinical units.
• Expert in conducting data mining in the healthcare insurance industry and claims-related experience and knowledge of coding, reimbursement, and claims processing policies
• Knowledge of the law and regulations as it relates to FWA investigations and familiar with CMS medicare and medicaid policies
• Proficient in current modeling approaches, standard scientific methods for intervention based analysis, trend identification, causal inference, and pattern detection
• Strong experience using a variety of data mining/data analysis methods, utilizing a variety of analytic tools, building and implementing models, creating algorithms and running simulations
• Experience with programming languages (Python,PySpark, Scala and/or Spark SQL)
• Experience with graph database managing clinical concept is a big plus
• Experience with Amazon AWS cloud platform is a plus

We are looking for innovative and creative individuals who seize opportunities to uncover hidden drivers, impacts, and key influences to support our product, leadership and clinical teams by applying optimization and statistical methods on a variety of data. You will work closely with the clinical program and product teams to support decision-making and will dig into a wide range of strategic and clinical problems.
As a growing organization, we have built a team of talented and experienced people who are passionate about helping providers and patients and this is a position that offers the ability to make a substantial impact on the company with rapid growth opportunities. You will be part of a growing data science team within the technology organization.
What you’ll do:
• Drive strategic data science initiatives that directly impact our product roadmap and business outcomes while working as part of a cross-functional team.
• Take ownership of data science milestones, requirements gathering and identify risks and opportunities with various data sources.
• Independently lead in-depth analyses of a variety of healthcare and product data sources to enable data-driven decision-making driving business impact and ROI.
• Mentor junior data scientists in development and statistical best practices, conduct code reviews, and communication with non-technical audiences.
• Present information using data visualization techniques and propose solutions and strategies to business challenges
• Design and conduct causal inference analyses using healthcare claims, EHR and similar data.
• Leverage a variety of cutting-edge technologies, including LLM and stochastic optimization, to support faster and better decision making
What you’ll need:
• 5+ years hands-on data science experience at company where health outcomes were critical to the mission, preferably a healthcare analytics company or population health organization
• Demonstrated leadership experience in healthcare data science with a track record of influencing product strategy and business outcomes
• Strong communication skills with the unique ability to translate business needs from stakeholders into data science technical requirements and translate data science results back to business and clinical units.
• Proficient in current modeling approaches, standard scientific methods for intervention based analysis, trend identification, causal inference, and pattern detection
• Strong experience using a variety of data mining/data analysis methods, utilizing a variety of analytic tools, building and implementing models, creating algorithms and running simulations
• Experience with graph database managing clinical concepts is a big plus
• Experience in prompt engineering and context optimization with LLM
• Experience with programming languages (Python,PySpark, Scala and/or Spark SQL)
• Strong interest and understanding of EMR data, Claims and SDOH data
• Experience with data visualization tools such as Tableau and Kibana, preferred
• MSc or higher degree in a data science/ analytics, statistics, mathematics, engineering related field

We’re seeking a Senior Data 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 Data Engineer, 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:
• Lead the design and implementation of complex data pipelines and infrastructure across multiple domains
• Mentor junior engineers, sharing expertise and raising team-wide engineering standards
• Implement and enforce data quality, schema validation, and observability practices to ensure trustworthy outputs
• Contribute to architecture discussions and tool evaluation, helping to shape platform scalability and governance alignment
• Write clean, maintainable, and testable code in Python and SQL, following best practices in version control, CI/CD, and documentation
• Optimize and monitor production workflows using tools such as Airflow, dbt, Athena, EMR, Kafka, and Iceberg/Parquet
• Collaborate with cross-functional stakeholders (analytics, product, compliance) to ensure technical solutions meet business needs
• Participate in on-call rotations to support critical platform jobs and reduce operational disruptions
• Champion a culture of excellence, accountability, and continuous improvement through code reviews, documentation, and knowledge sharing
What you’ll need:
• 5+ years of experience in data engineering or software development with a strong focus on data infrastructure
• Strong proficiency in Python and SQL, with experience applying software engineering rigor to data workflows (testing, version control, observability)
• Hands-on experience with modern data tools such as Airflow, dbt, AWS (EMR, Athena, S3), Iceberg, Parquet, and Kafka
• Demonstrated success designing and delivering large-scale, reliable, and governed data infrastructure projects
• Track record of building and maintaining production grade systems using APIs
• Track record of mentoring engineers and raising team-wide engineering standards through code reviews, documentation, and knowledge sharing
• Ability to work effectively in a fast-paced, agile environment, collaborating across technical and non-technical stakeholders
• Experience with healthcare data (claims, eligibility, clinical, EHR) is strongly preferred
• Understanding of data security, privacy, and compliance practices (HIPAA or similar) in pipeline and platform design
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field

<h5>Senior Software Engineer - Data Platform </h5>Opportunity Overview: We're seeking a Senior Data 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 Data Engineer, you'll operate across the end-to-end data lifecyclefrom ingestion to transformation to integrationdriving 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>5+ years of experience in data engineering or software development with a strong focus on data infrastructure </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>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>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>Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field </li></ul> Pay & 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 Up to 184 hours (23 days) of PTO per year + company holidays Up to 14 weeks of paid parental leave Pet insurance The salary range for this position is $130,000 to $170,000 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>Live Technical Exercise </li><li>Cross Functional 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 & 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.

Question	Topic	Difficulty	Ask Chance
Boarding Times Bias	Statistics	Medium	Very High
Hundreds of Hypotheses	Statistics	Medium	Very High
Random Bucketing	A/B Testing & Experimentation	Medium	Very High

Cohere Health Interview Questions

Cohere Health Interview Guides

Overview

Cohere Health Interview Questions

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