About the Opportunity

We are seeking a highly skilled and experienced Clinical Trial Liaison to join our team. The ideal candidate will have a minimum of 3 years of experience in clinical research, a background in nursing or other healthcare fields, and a proven track record in patient recruitment. This role will involve working closely with clinical sites to ensure the smooth execution of clinical trials, with a particular focus on cardiovascular and/or imaging studies. As a key point of contact between study sites and the sponsor, the Clinical Trial Liaison will be responsible for fostering strong relationships, ensuring protocol compliance, and supporting patient recruitment and retention efforts.

Responsibilities

• Serve as the primary liaison between the clinical trial sponsor and participating sites, ensuring effective communication and collaboration.

• Support clinical sites in meeting patient recruitment goals by providing guidance on strategies, tools, and resources.

• Monitor site performance and provide proactive support to resolve any issues related to protocol compliance, patient recruitment, and data collection.

• Ensure that all site staff are trained and compliant with study protocols, Good Clinical Practice (GCP) guidelines, and regulatory requirements.

• Collaborate with site staff to identify and overcome barriers to patient recruitment and retention.

• Track site progress and prepare reports on site performance, recruitment metrics, and study milestones.

• Conduct regular site visits, both remote and in-person, to provide hands-on support and address any operational challenges.

• Work closely with cross-functional teams, including project management, 
• regulatory affairs, and data management, to ensure seamless study execution.
• Maintain a thorough understanding of cardiovascular disease, study protocols, and the specific needs of the patient population

Requirements 

• Bachelor’s degree in healthcare related field; 
• Minimum of 3 years of experience in clinical research, with a focus on site management and patient recruitment.

• Experience working in cardiovascular and/or imaging clinical trials is highly desirable.
• Strong knowledge of clinical trial protocols, GCP guidelines, and regulatory requirements.

• Proven ability to work independently and manage multiple clinical sites at the same time.

• Excellent communication, organizational, and problem-solving skills.
• Ability to build strong relationships with site staff and foster a collaborative working environment.
• Flexibility to travel as required for site visits and meetings, travel up to 50% of time. 

Preferred Qualifications

• Advanced degree in nursing, clinical research, or a related field.
• Experience working with diverse patient populations in cardiovascular studies.

• Certification in clinical research (e.g., CCRP, ACRP, SOCRA) is a plus

Compensation

The base salary range for this role varies by location and is aligned to market benchmarks.

• Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range.
• Final compensation is determined based on location, experience, skills, and internal equity.

This role is eligible for a 10% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges:

• Base Salary: $100,000 - $116,000
• TTC: $110,000 - $127,600 

*Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards.

Follows guidance from the senior leader to deliver and implement customer training and support. Performs virtual and onsite visits for imaging site support. Denver, Los Angeles, or Dallas based. 

Responsibilities

• Communicates with imaging partners to increase efficiency and quality of performed scans through education of CCTA best practices for: patient preparation, acquisition, reconstruction, and heart rate control;
• Performs virtual and onsite support events with our imaging partners;
• Organizes and leads training events
• Attends or reviews recording/AI Companion notes for all assigned meetings;
• Reports and documents all related concerns and recommended process improvements to imaging sites and leadership;
• Demonstrates Cleerly software;
• Collaborates with other departments and CT vendors to standardize best practices for image quality and workflow efficiency.
• In person (25% - 50% required travel);
• Travel within the US and International;
• In virtual meetings (50% - 75%);

Required Competencies

• ARRT (CT) required;
• Minimum level of education is an associate degree in radiologic technology or equivalent;
• 2+ years Coronary CTA experience;
• Basic Computer Software Knowledge.

Soft Skills            

• Communication: Clear, concise communication to convey plans and initiatives to team members and stakeholders;
• Critical thinking: evaluate various planning scenarios, anticipate challenges;
• Adaptability: adjust plans in response to unexpected developments;
• Coachability - willingness to Learn;
• Collaboration: cross-functional projects;

The base salary range for this role varies by location and is aligned to market benchmarks.

• Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range.
• Final compensation is determined based on location, experience, skills, and internal equity.

This role is eligible for a 10% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges:

• Base Salary: $103,000 - $108,000
• TTC: $113,300 - $118,800

*Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards.

About the Opportunity

We are seeking a hands-on, front-end-strong full-stack engineer to own the clinical reporting experience at the heart of our imaging platform. This is a high-impact individual contributor role — you will be the primary engineer driving the reporting UI and clinical workflow that cardiologists and radiologists use to review, finalize, and deliver results.

Our engineering team skews backend-heavy, which means there is significant frontend work ahead and real ownership available for the right person. You will work directly with clinical stakeholders — cardiologists, radiologists, and Core Lab teams — to shape workflows that directly impact patient care.

The ideal candidate is a strong React/TypeScript engineer who is comfortable with backend API integration, has built clinician-facing interfaces before, and is genuinely excited about doing the detailed, grinding work of getting clinical UIs right.

What You'll Own

Clinical Reporting UI

• Own the end-to-end reporting experience — the interface cardiologists and radiologists use to review cases, finalize results, and sign off on reports
• Build a web-based results summary displaying case status, key measurements, exceptions, and data provenance across Cleerly and integrated third-party applications
• Design and implement clear, high-usability clinical interfaces that handle complex multi-source data with strong information hierarchy

Workflow Integration

• Implement secure viewer launch flows — opening the Cleerly viewer, embedded HTML5 components, or external viewers via deep-link or SDK integration
• Partner with Backend, Viewer, and CoreLab teams to ensure the full workflow reliably supports case gating, edits, final sign-off, and write-back to PACS/EHR
• Integrate with third-party reporting engines and dictation tools (e.g., Nuance, M*Modal) as needed

Backend and API Integration

• Consume and shape REST APIs, manage pagination and filtering, and ensure audit-safe data handling across the reporting surface
• Work with FHIR/HL7 standards for structured reporting outputs and EHR write-back
• Contribute to backend services as needed to support the reporting platform

What We're Looking For

Required:

• 8+ years of professional software engineering experience, with demonstrable frontend depth
• Strong React and TypeScript — this is your primary toolkit and you are genuinely comfortable owning a complex clinical UI in it
• Experience building clinician-facing interfaces — radiology, cardiology, clinical workflow, or similar regulated environments
• Solid backend/API integration skills — you can consume and shape APIs, handle edge cases, and reason about data integrity
• Working knowledge of at least one healthcare interoperability standard (FHIR or HL7 v2)
• Strong testing discipline — rigorous handling of edge cases, error states, partial results, and latency in clinical UIs
• Ability to operate in a regulated environment — requirements traceability, change impact analysis, validation support
• Direct experience collaborating with clinical stakeholders to define and refine workflows

Nice to Have:

• DICOM-SR, SEG, or Presentation State familiarity — structured reporting, segmentation, or image overlay concepts
• Experience embedding or launching medical viewers (OHIF/Cornerstone, HTML5 viewers, iframes) using secure messaging protocols
• Java and Spring framework experience
• Prior integration with commercial reporting or dictation tools (Nuance, M*Modal)
• DICOM protocol knowledge (C-STORE, C-FIND, DICOMweb)

Why This Role

This is not a role for someone who wants to delegate the frontend work. Our team needs someone who is excited to get into the details — pixel-level UI decisions, clinical edge cases, the nuance of how a cardiologist actually reads a report — and who takes pride in getting that layer right. If you've built clinical workflow UIs before and want real ownership of a product used directly in patient care, this is the role.

 Why you should apply:

• PURPOSE: Cleerly’s purpose is to create a world without heart attacks. With our new paradigm for precision heart care, we will leave big footprints in the sands of time. Help us make that a reality!
• COMMUNITY: We are building a truly world class team of talented problem solvers. While we have diverse backgrounds, we are united in our commitment to each other, to our customers, and to the patients our technology serves.
• GROWTH: We prioritize learning and growth. As a rapid growth company, there is always space for new challenges and responsibilities. And, through Cleerly U, we invest in the development of our team.
• OWNERSHIP: Everyone on the team contributes to our success, so everyone has equity in the company through our employee stock option incentive plan.
• BENEFITS: Cleerly offers a variety of medical, dental, and vision plans, designed to fit you and your family’s needs. Our 401(k) program helps you invest in the future.

OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER.  We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation.

Job duties, activities, and responsibilities are subject to change by our company.

The base salary range for this role varies by location and is aligned to market benchmarks.

• Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range.
• Final compensation is determined based on location, experience, skills, and internal equity.

This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges:

• Base Salary: $175,000 - $201,000
• TTC: $200,000 - $231,000

*Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards.

About the Opportunity

We’re Cleerly – a healthcare company based in Denver, Colorado and New York, New York that’s revolutionizing how heart disease is diagnosed, treated, and tracked.  We were founded in 2017 by one of the world’s leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which will enable rapid growth and continued support of our mission.

Cleerly is creating a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries.  Cleerly’s solutions are supported by more than a decade of performing some of the world’s largest clinical trials to identify important findings beyond symptoms that increase a person’s risk of heart attacks.

About the Opportunity

We are seeking a highly skilled Staff Scientist to lead the design, development, validation of innovative clinical workflow that can directly impact the diagnosis and treatment for heart disease. In this senior-level role, you are responsible for architecting a cutting-edge product that integrates our existing technologies while pushing the boundary of innovation in cardiac vascular imaging. You will also represent the company in strategic research collaborations with leading academic and clinical institutions, driving innovation at the intersection of AI and cardiovascular health.

Key Responsibilities

• Research and develop state-of-the-art AI and non-AI algorithms for coronary CT/fluoroscopy imaging applications.
• Implement efficient and robust image processing pipeline to solve challenging problems in low latency environments.
• Translate product and clinical requirements into algorithmic specifications in collaboration with Product and Clinical teams.
• Partner with Regulatory Affairs to support regulatory submissions (e.g., 510(k), De Novo, PCCP), including generating evidence and documentation.
• Collaborate with engineering teams to deploy AI and non-AI based solutions in clinical practice.
• Communicate findings and strategy to internal stakeholders and leadership through clear technical documentation, presentations, and demos.
• Contribute to intellectual property development through patents and scientific publications.
• Mentor junior scientists and foster a culture of technical excellence and scientific rigor.

Required Qualifications & Skills

• PHD. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field, with 5+ years combined postdoc and/or industry experience; OR an M.S. with 8+ years of relevant experience.
• Applied AI/DL research for medical imaging diagnostics and analysis, classical image processing algorithm, optical flow analysis, 2D&3D rigid/deformable image registration
• Proven track record of successful product delivery in medical imaging domain
• Strong experience in C++ and Python.
• Experience of developing and applying graph processing or GNN(graph neural network)
• Prior experience with ITK, OpenCV, VTK, CMake, Slicer is a plus
• Prior experience with cardiac motion modelling or tracking is a plus
• Excellent interpersonal, cross-functional, and cross-cultural collaboration skills.

Preferred Qualifications

• 5+ years of industry experience in AI-based medical device development or clinical deployment.
• Experience supporting FDA regulatory submissions for ML-based software, including familiarity with De Novo, 510(k), and PCCP pathways.
• Deep domain knowledge in cardiovascular imaging and CT interpretation workflows.

OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER.  We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation.

Job duties, activities, and responsibilities are subject to change by our company.

The base salary range for this role varies by location and is aligned to market benchmarks.

• Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range.
• Final compensation is determined based on location, experience, skills, and internal equity.

This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges:

• Base Salary: $234,000 - $271,000 
• TTC: $268,000 - $311,000

*Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards.

About the Opportunity

Cleerly, Inc. is a technology-based healthcare company whose mission is to create digital care pathways to prevent heart attacks. Cleerly, Inc, in Denver, CO is seeking an Engineering Manager, Software to assist with the development of the next generation healthcare diagnosis system, with cutting-edge technologies.  

Job responsibilities and duties include: 

• Lead and support the engineering team throughout the full software development lifecycle for FDA 510(k) regulated medical device software (SaMD). 
• Collaborate with clinicians, regulatory, and quality teams to ensure software development aligns with IEC 62304, ISO 13485, and other relevant standards. 
• Drive decomposition of clinical and regulatory product requirements into actionable technical designs and software features. 
• Manage and mentor engineers, fostering expertise in healthcare software, image processing, and cardiac CT workflows. 
• Collaborate with AI/ML teams to integrate validated algorithms into the clinical product, ensuring regulatory compliance, performance, and usability. 
• Ensure compliance with cybersecurity, HIPAA, and FDA guidance for medical device software. 
• Define and contribute to agile practices tailored to regulated environments, including CI/CD with validated pipelines and automated testing under design controls. 
• Partner closely with product managers, radiologists, and data scientists to ensure clinical accuracy and usability of solutions. 
• Oversee risk management activities, including software hazard analysis and mitigation. 
• Participate in cross-functional design reviews, regulatory audits, and technical file preparation. 
• Recruit and onboard top engineering talent with experience in healthcare and regulated domains.  

Requirements:  

• Bachelor’s degree in Computer Science, Software Engineering, or related discipline (Master’s preferred). 
• 8+ years of software engineering experience, including 2+ years in management/leadership roles. 
• Demonstrated experience in medical device software development or healthcare technology, ideally with FDA 510(k) submissions or CE marking. 
• Strong programming skills in Python, TypeScript/JavaScript, Node.js, React, and SQL/NoSQL databases. 
• Experience developing and securing RESTful and GraphQL APIs. 
• Familiarity with AWS cloud services and infrastructure-as-code (Terraform, CloudFormation). 
• Experience integrating AI/ML algorithms into production healthcare or medical device software, including validation and performance monitoring. 
• Deep understanding of medical imaging (DICOM, PACS, cardiac CT) is a strong plus. 
• Knowledge of IEC 62304, ISO 14971 (risk management), ISO 13485 (QMS) and other regulatory frameworks. 
• Excellent verbal and written communication skills for both technical and clinical audiences. 
• Ability to thrive in a fast-paced, startup-like environment while maintaining regulatory discipline. 
• Passion for mentoring engineers and advancing clinical innovation in cardiovascular care. 

The base salary range for this role varies by location and is aligned to market benchmarks.

• Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range.
• Final compensation is determined based on location, experience, skills, and internal equity.

This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges:

• Base Salary: $190,000 - $219,000
• TTC: $218,000 - $251,000

*Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards.

About the Opportunity

We’re looking for our next Senior Technical Program Manager, an experienced scrum master who knows how to shepherd a product portfolio through the full product realization cycle while navigating competing priorities for a regulated product. 

What would I be doing?

You’ll be responsible for driving Cleerly’s product realization process. You’ll help to lead the development team from planning through verification and validation to produce the best possible solution in a compliant, high-quality, and timely manner. You’ll have strong experience in risk management and delivering products in a regulated environment, such as software as a medical device (SaMD). On any given day you could be doing any of the following:

• Communicating and coordinating activities across the product, engineering, AI, regulatory, and quality teams
• Developing and maintaining SOPs, work instructions, and other process documentation for the team and ensuring team alignment and compliance 
• Leading risk analysis activities in accordance with ISO 14971 and IEC 62304
• Tracing requirements to product architecture, system design and verification/validation test cases for compliance and regulatory needs
• Coordinating with AI scientists, engineers, and product managers to develop documentation to support regulatory submissions
• Running agile ceremonies and orchestrating sprint and project milestones in coordination with Product Management
• Ensuring that engineers have all of the information, requirements, acceptance criteria, and designs they need to implement and deliver new features and functionality effectively and efficiently
• Coordinating with engineering managers and product managers on release planning activities, timelines, and documentation
• Leading bug triage and prioritization with the team 

Qualifications

• 5+ years of technical program manager experience, or an equal combination of relevant experience in related disciplines
• Experience working in a highly regulated medical device environment with ISO 13485, ISO 14971, IEC 62304, AAMI TIR 45 standards and regulations
• BS in Engineering preferred or other relevant field with prior experience
• Certified scrum master with demonstrated experience facilitating agile processes 
• Excellent verbal and written communication skills 
• Demonstrated work history maintaining product documentation & versioning within a Quality Management System
• Ability to engage technical and non-technical audiences via strong written, verbal, and visual communication skills
• Proven ability to build relationships, collaborate, and influence internal teams and partners
• Strong analytical and problem solving skills
• Capability to succeed in a fast-paced environment with shifting priorities, and manage projects with competing priorities and timelines

Impress us more

• Previous experience working daily with data scientists, engineers, product managers, regulatory and quality team, and clinicians in a digital health environment
• Previous experience working in a start-up environment with a highly collaborative culture, wearing multiple hats as needed and “pitching in” as necessary

The base salary range for this role varies by location and is aligned to market benchmarks.

• Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range.
• Final compensation is determined based on location, experience, skills, and internal equity.

This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges:

• Base Salary: $161,000 - $186,000
• TTC: $186,000 - $214,000

*Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards.

About the Opportunity

We are seeking an experienced Senior Quality Engineer to join our dynamic engineering team.  In this role, you will be responsible for maintaining and confirming the quality of Cleerly’s products and ensuring they conform to and comply with company requirements, international standards, and federal regulations.  You’ll work on a team with developers, developers in test, quality engineers, program managers to identify issues with our software, track resolutions, participate in hazard mitigation and improve our testing methodologies on an ongoing basis.

Key Responsibilities:

• Develop test plans and test cases for product features
• Build complex data sets to be used in test
• Execute end-to-end manual system validation and exploratory testing 
• Test APIs and backend services for compliance to specifications
• Drive defect prioritization and perform impact analysis
• Participate in sprint planning and design meetings to help deliver quality at the earliest possible stage
• Act as a Quality Bar-Raiser for the engineering organization, including contracted QA staff.
• Collaborate with cross-functional teams to understand requirements and translate them into comprehensive test plans
• Continuously evaluate our testing workflow and drive improvements to increase efficiency and product quality
• Stay up-to-date with the latest trends and advancements in QA and share knowledge with the team
• Periodic on-call responsibilities to triage and rapidly escalate issues in our production environment reported by monitoring or customer support

Required Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or related field. Or equivalent work experience.
• 5+ years of experience in software quality engineering 
• Mastery in writing comprehensive test plans.
• Hands-on experience utilizing AWS Cloud Services or an equivalent enterprise cloud service provider.
• Familiarity with manual testing methodologies and test result tracking tools like TestRail.
• Expertise in issue tracking and project management tools like JIRA.
• Strong understanding of the software development life cycle and testing life cycle.
• Excellent problem-solving, analytical, and critical thinking skills.
• Ability to work collaboratively in a remote-first team environment and to communicate effectively with Product Managers, Engineers, and other stakeholders.

Impress Us More…

• Experience working in healthcare or another heavily-regulated industry.
• Experience working in a start-up environment.

Don’t meet 100 percent of the qualifications? Apply anyway and help us diversify our candidate pool and workforce. We value experience, whether gained formally or informally on the job or through other experiences.

If you meet these requirements and are passionate about delivering high-quality software, we encourage you to apply for this exciting opportunity. Together, we can drive innovation and push the boundaries of what's possible.

The base salary range for this role varies by location and is aligned to market benchmarks.

• Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range.
• Final compensation is determined based on location, experience, skills, and internal equity.

This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges:

• Base Salary: $137,000 - $160,000
• TTC: $157,000 - $184,000

*Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards.

About the Opportunity

We are seeking a Senior Software Engineer to design, build, deploy, monitor, and optimize production-ready ML services in regulated healthcare. You will work hands-on to package, test, orchestrate, deploy, and maintain ML models, improve workflows, and implement CI/CD and automated testing to ensure reliability, performance, and faster delivery of business value.

Responsibilities

• Design, build, and deploy scalable AI/ML services with clear service boundaries, making pragmatic trade-offs across performance, maintainability, security, and long-term extensibility.

• Own full lifecycle delivery of complex features from architectural planning and API design to implementation and post-release observability.

• Define and enforce robust verification and validation for AI services including unit, integration, and end-to-end testing to ensure reliability of code in production and compliance with our Quality Management System and regulatory standards. 

• Integrate CI/CD and MLOps practices for automated model builds, testing, and deployment.

• Translate product requirements into well-defined technical designs proactively shaping implementation details.

• Contribute to the necessary technical documentation required for regulatory submissions.

• Collaborate cross functionally to reduce knowledge silos and ensure continuity in critical systems through cross-training and documentation. 

Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field

• 7+ years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar).

• Experience with unit, integration testing for ML models, including data validation, correctness checks, and reproducibility.

• Experience with CI/CD, Orchestration tools (Airflow, MLflow, Kubernetes, Terraform) and ML/data platforms(SageMaker, Databricks, Unity Catalog, Snowflake/Snowpark) to build scalable ML data pipelines and model workflows.

• Strong collaboration skills to work effectively with ML scientists, engineers, and regulatory teams.

• Comfortable operating in ambiguity and driving clarity across product, engineering, and business stakeholders.

This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges:

• Base Salary: $153,000 - $179,000
• TTC: $176,000 - $206,000

*Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards.

About the Opportunity

We are seeking a highly skilled Machine Learning Scientist to drive the development and translation of cutting-edge ML models that have a direct impact on the care pathway for heart disease diagnosis and prognosis. In this role, you will collaborate with ML scientists, data engineers, biostatisticians, regulatory experts, and senior leadership to understand clinical requirements, develop innovative solutions, and support product development and regulatory approvals. You will also engage in high-impact research collaborations with world-renowned academic and medical institutions.

Responsibilities

• Research and develop state-of-the-art machine learning models for coronary CT angiography imaging applications.
• Conduct rigorous analysis and validation of machine learning algorithms and prototypes.
• Explore novel methods for processing and analyzing large, complex medical imaging datasets.
• Collaborate with engineering teams to deploy ML algorithms in clinical practice.
• Present research findings, insights, and recommendations to internal stakeholders and external collaborators.
• Author scientific publications and contribute to patent development.
• Manage collaborative research projects with leading academic partners.

Requirements

• Ph.D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field; OR an M.S. with 5+ years of relevant experience.
• Strong theoretical and practical expertise in image science, applied mathematics, machine learning, and deep learning.
• Research experience in applying ML and deep learning techniques to medical image processing, including segmentation, registration, classification, reconstruction, and detection.
• Proven track record of publications in top-tier medical imaging or computer vision conferences and journals (e.g., MICCAI, IEEE TMI, CVPR, Medical Image Analysis).
• Proficiency in Python, with experience handling large datasets, implementing ML pipelines, and visualizing analysis results.
• Ability to translate complex clinical requirements into machine learning solutions.
• Strong critical thinking, problem-solving, and project management skills.
• Excellent interpersonal, cross-functional, and cross-cultural collaboration skills.

Preferred Qualifications: 

• 2+ years of postdoctoral research or industry experience.
• Hands-on experience in developing and applying advanced deep learning models, including vision transformers, semi-supervised/self-supervised/unsupervised learning, incremental learning, and continuous learning techniques.
• Strong domain knowledge in CT imaging and its clinical applications.

The base salary range for this role varies by location and is aligned to market benchmarks.

• Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range.
• Final compensation is determined based on location, experience, skills, and internal equity.

This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges:

• Base Salary: $186,000 - $212,000
• TTC: $214,000 - $245,000

*Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards.

About the Opportunity

We are seeking a senior machine learning software engineer to design, build, deploy, monitor, and optimize production-ready ML services in regulated healthcare. You will work hands-on to package, test, orchestrate, deploy, and maintain ML models, improve workflows, and implement CI/CD and automated testing to ensure reliability, performance, and faster delivery of business value.

Responsibilities

• Collaborate with AI scientists to package and deploy ML models, ensuring reproducibility, versioning, and compliance.
• Build and maintain model serving infrastructure including monitoring, drift detection, automated retraining, and logging.
• Implement unit, integration, and system-level testing for ML models, covering data validation, model correctness, and deployment workflows.
• Develop and operate end-to-end ML pipelines: ingestion → preprocessing → feature engineering → evaluation → deployment → monitoring.
• Integrate CI/CD and MLOps practices for automated model builds, testing, and deployment.
• Identify and resolve workflow inefficiencies or gaps between research and production.
• Recommend and integrate frameworks, libraries, and infrastructure to improve pipeline efficiency, maintainability, and observability.
• Collaborate cross-functionally to ensure compliance with regulatory requirements (FDA/HIPAA) in production ML workflows.
  
  

Requirements

• 7+ years of experience in software engineering for ML production or ML platform delivery.
• Hands-on experience deploying ML models via APIs, batch pipelines, or streaming inference.
• Proficiency in Python (required), Java, or similar, with software engineering best practices for ML workflows.
• Experience with unit, integration, and pipeline-level testing for ML models, including data validation, correctness checks, and reproducibility.
• Familiarity with cloud platforms (AWS preferred: SageMaker, S3, EC2) and reproducible ML pipelines.
• Experience with CI/CD, Orchestration tools (Airflow, MLflow, Kubernetes, Terraform) and ML/data platforms(SageMaker, Databricks, Unity Catalog, Snowflake/Snowpark) to build scalable ML data pipelines and model workflows.
• Strong collaboration skills to work effectively with AI scientists, software engineers, and regulatory teams.

The base salary range for this role varies by location and is aligned to market benchmarks.

• Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range.
• Final compensation is determined based on location, experience, skills, and internal equity.

This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges:

• Base Salary: $153,000 - $179,000
• TTC: $176,000 - $206,000

*Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards.

WellPower envisions a community where every person’s mental health is fostered through strength, resilience and hope. We empower people to overcome barriers and achieve lasting well-being through collaborative behavioral health care and comprehensive support. 

Our Guiding Principles:

• Person Centered. We honor people’s identities, lived experience and journeys and treat every person with the dignity we all deserve.  
• Exceptional Care. We offer compassionate, innovative services that meet people where they are, from immediate support to long-term recovery.
• Integrity. We operate from a deep foundation of ethical, accountable practices in all we do.
• Organizational Resilience. We meet the moment and adapt to changing contexts with collaborative creativity, agile business processes, and financial stewardship.

Position Summary: 

The Vice President, Enterprise Safety, Quality & Compliance (VP-ESQC) is a senior executive leader responsible for integrated, system-wide oversight of safety, quality, compliance, health information management (HIM), privacy and business continuity functions across WellPower. Reporting directly to the Vice President & Chief Operating Officer, this role aligns and manages four key leadership positions to performing infrastructure that supports all clinical and operational departments. The VP-ESQC ensures patient and employee safety, clinical and operational quality, regulatory readiness, organizational resilience, while championing a Just Culture and embedding safety, quality, and compliance into every aspect of care delivery

Compensation & Benefits:

• $145,995.20 - $190.008 per year 
• For complete overview of our robust Benefits: https://wellpower.org/workplace-of-choice/ 

The posted range represents the full hiring range. Offers will not exceed this range, the majority of candidates are placed near the midpoint based on experience and qualifications. 

Job Duties & Functions: 

• Serve as enterprise executive owner of Safety, Quality, Compliance, HIM/Privacy, and Business Continuity portfolio.
• Partner with COO to define and implement safety and quality vision and strategies. 
• Develop and maintain and multi-year Enterprise Safety, Quality & Compliance Roadmap.
• Chair or co-chair enterprise committees and governance groups.
• Provide consolidated reporting and recommendations to executive leadership and Board committees.
• Oversee Corporate Compliance Program, including annual work plan and risk assessments.
• Direct internal audit planning, execution, and corrective actions.
• Ensure compliance training meets regulatory and operational needs.
• Oversee Enterprise Safety &Business Continuity Program, including OSHA compliance and emergency preparedness.
• Guide risk assessments, business impact analyses, and continuity planning.
• Maintain partnerships with law enforcement and community safety partners.
• Provide leadership for Quality Management System aligned with Quadruple Aim.
• Oversee Annual Quality Improvement Plan and clinical standards.
• Ensure quality measurement includes clinical outcomes, service indicators, and equity metrics.
• Build organizational capacity for process improvement and project management.
• Oversee HIM operations and HIPAA compliance, ensuring data integrity and privacy.
• Guide privacy investigations and breach mitigation plans.
• Integrate safety, quality, and compliance into operational and clinical workflows.
• Provide coaching and performance management for direct reports.
• Champion Just Culture, equity, and trauma-informed practices across all functions
• Other duties as assigned

Requirements & Qualifications: 

Education:

• Bachelors degree in Nursing, Behavior Health, Public Health, Healthcare Administration or related field. Master's degree in related field; certification such as CPHQ, CPPS, CPHS, RHIA, CBCP, Lean/Six Sigma preferred.

Experience:

• Minimum of 7-10 years of progressive leadership in healthcare or behavior health organizations. 
• Demonstrated experience overseeing at least three (3) of the following enterprise domains:
  • Safety
  • Quality Management/Performance Improvement
  • Compliance/Regulatory Affairs
  • Health Information Management/Privacy
  • Business Continuity/Emergency Preparedness
• Prior leadership of multi-department or multi-functional teams, including direct supervision of director-level leaders or equivalent.
• Proven experience operation at a system of enterprise level (not program-only or unit-only), with responsibility spanning multiple locations, service lines, or operational areas.
• Proven track record of implementing system-wide improvements that impact both operations and clinical care.

Work Location: This is a hybrid opportunity, the expectation is to come into the Denver area for one week, once per month. 

Shift/Hours: This is a Monday-Friday opportunity observing standard business hours.

Physical Requirements: This position involves sedentary work, requiring extended periods of sitting, computer use, and participation in meetings both in-person and virtual. Occasional physical activity such as standing, walking, bending, and reaching is expected, along with occasional lifting of up to 20-30 pounds. The role demands frequent use of phones and standard office equipment. Strong cognitive abilities are essential, including analytical thinking, strategic decision-making, and the capacity to manage complex issues under pressure.

Applications will be reviewed on an ongoing basis.

Learn more about WellPower:

WellPower is committed to fair and equitable hiring with salaries based on relevant factors, such as work experience, education, and certification/licensure (rather than wage history). Toward the principle of equal pay for equal work, we post and hire within defined hiring salary ranges. We ask all applicants to carefully review the hiring salary range for each posted job opportunity, as we will not hire outside the predetermined range. 

WellPower is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment, transfer, or promotion opportunities without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. 

For a complete overview of our robust benefits, visit: https://wellpower.org/workplace-of-choice 

About the Opportunity

We're seeking a Software Engineer 3 to drive key technical initiatives across our computational imaging pipeline. In this high-impact role, you'll be part of the team owning the complex systems responsible for deploying, scaling, and monitoring our regulated AI algorithms end-to-end. You will influence the architecture of our system, ensuring our solutions meet medical standards for quality and performance, while mentoring other engineers and helping shape our technical culture.

About the Team

You will join our expert Computational Imaging team, where we develop sophisticated algorithms to enhance and improve medical imaging. We are focused on improving the quality and clinical value of medical images, creating powerful, extra software components that correct artifacts, standardize data, and ensure the utmost precision before the final analysis. Our work is essential for elevating the reliability and accuracy of Cleerly’s regulated products.

Responsibilities

• Build and deploy scalable AI services and computational imaging pipelines to production, ensuring robust, high-availability infrastructure for our machine learning algorithms.
• Contribute to the system architecture's design and make pragmatic trade-offs that balance performance, security, and maintainability.
• Own full lifecycle delivery of complex features, from architectural planning and API design to implementation and post-release observability.
• Support the high availability and observability of our services; improve alerting, logging, and incident response across the stack.
• Uphold strong engineering standards via code reviews, technical mentorship, and design documentation.
• Collaborate closely across AI and engineering to reduce knowledge silos and ensure continuity in critical systems through cross-training and documentation.
• Implement robust testing mechanism and validation strategies to ensure compliance with our Quality Management System and regulatory standards 

Requirements 

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field (or equivalent experience).
• 5–8 years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar).
• Demonstrable capability in designing, implementing, and securing RESTful web services
• Experience in MLOps orchestration and cloud deployment (Docker, Kubernetes).
• Experience with AWS, GitHub, and continuous integration pipelines
• Proven track record of delivering scalable systems in production environments.
• Strong systems thinking with the ability to evaluate tradeoffs in scalability, reliability, and maintainability.
• Experience designing for observability and operational excellence (e.g., logs, alerts, dashboards, runbooks).
• Comfortable operating in ambiguity and driving clarity across product, engineering, and business stakeholders.

Preferred:

• Experience designing and optimizing end-to-end medical imaging pipelines in a production environment and familiarity with HIPAA/HITRUST security requirements.
• Hands-on experience with Computer Vision and Deep Learning techniques used for medical image processing.

OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER.  We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation.

Job duties, activities, and responsibilities are subject to change by our company.

The base salary range for this role varies by location and is aligned to market benchmarks.

• Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range.
• Final compensation is determined based on location, experience, skills, and internal equity.

This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges:

• Base Salary: $129,000 - $152,000
• TTC: $142,000 - $168,000

*Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards.

About the Opportunity

You will report to a Regional Sales Director and be a part of a regional team that is focused on Hospitals, Providers and Imaging Centers.  As a team, you will work to bring Cleerly to market across outlets throughout your region.  Your focus will be a hybrid of Health Systems and Provider sales, and you must be based in the Denver, CO area.

Responsibilities

• Actively manage a high-value portfolio within a defined regional sales territory
• Prospect and develop new business to drive revenue by identifying opportunities for cross selling and expansions across commercial models / across Cleerly’s business opportunities
• Deliver weekly, monthly, and quarterly reports on sales pipeline, revenue, and other important data.
• Develop and deliver compelling proposals, position complex pricing structures, and negotiate contracts and deal-closing requirements quickly and efficiently.
• Execute key sales strategies to advance the utilization of the Cleerly solution within assigned geographies comprised of diverse customers. This includes collaboration with the Cleerly strategy and customer success teams for conversion of the account
• Meet quarterly and annual sales goals by developing an account strategy and pipeline, maintaining sales reports, developing market and competitor knowledge
• Give presentations and trainings, and travel to customer sites as needed

Requirements

• Actively manage a high-value portfolio within a defined regional sales territory: Colorado, Wyoming, and Montana
• Solid understanding of the Colorado hospital market
• Prospect and develop new business to drive revenue by identifying opportunities for cross selling and expansions across commercial models / across Cleerly’s business opportunities
• Deliver weekly, monthly, and quarterly reports on sales pipeline, revenue, and other important data.
• Develop and deliver compelling proposals, position complex pricing structures, and negotiate contracts and deal-closing requirements quickly and efficiently.
• Execute key sales strategies to advance the utilization of the Cleerly solution within assigned geographies comprised of diverse customers. This includes collaboration with the Cleerly strategy and customer success teams for conversion of the account
• Meet quarterly and annual sales goals by developing an account strategy and pipeline, maintaining sales reports, developing market and competitor knowledge
• Give presentations and trainings, and travel to customer sites as needed

The base salary range for this role is aligned to market benchmarks and determined by experience, skills, and internal equity.

This role is eligible for annual On Target Commission, resulting in the following base salary and Total Target Compensation (TTC) ranges:

• Base Salary: $140,000 - $150,000
• Commission: $150,000
• TTC: $290,000 - $300,000

*Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards.

About the Opportunity

We are seeking an experienced  Staff Machine Learning Engineer to architect, scale, and advance our machine learning platforms that bridge AI innovation and production in regulated healthcare. In this high-impact role, you will define and implement core platform capabilities, enabling scalable, secure, and compliant deployment of ML models that directly impact the care pathway for heart disease diagnosis and prognosis. You will tackle complex engineering challenges across end-to-end ML pipelines, ensuring reproducibility, efficiency, and compliance while driving the technical evolution of the platform.

About the Team

The AI Software Engineering team translates advanced ML models into production-ready, scalable solutions that directly impact the care pathway for heart disease diagnosis and prognosis. Working closely with AI scientists, software engineers, and regulatory teams, the team ensures models and ML workflows integrate seamlessly into clinical and product systems while maintaining reproducibility, compliance, and high performance. The team drives continuous improvements in efficiency, throughput, and infrastructure utilization, delivering reliable, scalable AI services that advance the accuracy and impact of Cleerly’s regulated products.

Responsibilities

• Architect and develop scalable AI/ML platforms and end-to-end pipelines, covering data ingestion, preprocessing, model training, evaluation, deployment, monitoring, drift detection, and automated retraining, while ensuring reproducibility, compliance with FDA/HIPAA, and alignment with organizational and regulatory goals.
  
  
• Optimize and operationalize production ML systems, including monitoring, drift detection, automated retraining, and workflow execution, to achieve high performance, reliability, scalability, and regulatory adherence.
  
  
• Evolve the ML stack through integration and refinement of frameworks, libraries, and infrastructure, improving system efficiency, maintainability, and the ability to support clinical ML workflows.
  
  
• Ensure operational readiness of ML pipelines and platforms, verifying data quality, throughput, reproducibility, and compliance across production workflows.
  
  
• Drive improvements in processes, tooling, and collaboration to streamline the transition of ML models from research to production, enhancing efficiency, reproducibility, and compliance across the platform.
  
  

Requirements 

• 12+ years of experience (Bachelor’s; 8+ with Master’s; 5+ with PhD) designing, implementing, and optimizing AI and ML systems, ideally in regulated healthcare or clinical domains.
  
  
• Deep technical expertise in ML pipelines, distributed model serving architectures, and production ML lifecycle management, with a track record of solving high-impact system challenges.
  
  
• Proficiency in Python, Java, or similar, with extensive programming experience establishing reproducible ML workflows, coding standards, and software engineering best practices for AI/ML applications.
  
  
• Proficiency with ML infrastructure and orchestration tools (Kubernetes, Helm, Airflow) and data platforms (Snowflake, PostgreSQL, Airbyte), and building scalable pipelines that support ML data processing and model workflows.
  
  
• Advanced experience with AWS (including SageMaker and S3), ML infrastructure frameworks such as MLflow and Terraform, and exposure to platforms like Databricks, with a proven track record of implementing end-to-end ML systems and optimizing platform performance, scalability, and operational efficiency.
  
  
• Proven ability to influence technical approaches and operational practices in AI/ML workflows, elevating system efficiency, reproducibility, and reliability.
  
  
• Strong expertise in regulatory and compliance requirements for AI/ML (FDA, HIPAA), able to design systems that are inherently compliant, reproducible, and auditable. (Preferred)

The base salary range for this role varies by location and is aligned to market benchmarks.

• Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range.
• Final compensation is determined based on location, experience, skills, and internal equity.

This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges:

• Base Salary: $175,000 - $201,000
• TTC: $200,000 - $231,000

*Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards.

About the Opportunity

We're seeking a Senior Software Engineer to drive key technical initiatives across our computational imaging pipeline. In this high-impact role, you'll own the complex systems responsible for deploying, scaling, and monitoring our regulated AI algorithms end-to-end. You will influence the architecture of our system, ensuring our solutions meet medical standards for quality and performance, while mentoring other engineers and helping shape our technical culture.

About the Team

You will join our expert Computational Imaging team, where we develop sophisticated algorithms to enhance and improve medical imaging. We are focused on improving the quality and clinical value of medical images, creating powerful, extra software components that correct artifacts, standardize data, and ensure the utmost precision before the final analysis. Our work is essential for elevating the reliability and accuracy of Cleerly’s regulated products.

Responsibilities

• Design, build, and deploy scalable AI services and computational imaging pipelines to production, ensuring robust, high-availability infrastructure for our machine learning algorithms.
• Design extensible system architectures and make pragmatic trade-offs that balance performance, security, and maintainability.
• Own full lifecycle delivery of complex features, from architectural planning and API design to implementation and post-release observability.
• Ensure high availability and observability of our services; improve alerting, logging, and incident response across the stack.
• Set and uphold strong engineering standards via code reviews, technical mentorship, and design documentation.
• Lead technical design reviews and system decomposition efforts across teams.
• Proactively identify risks and gaps in operational or architectural resilience, and drive durable improvements.
• Collaborate closely across AI and engineering to reduce knowledge silos and ensure continuity in critical systems through cross-training and documentation.
• Design and implement robust testing mechanism and validation strategies to ensure compliance with our Quality Management System and regulatory standards 
• Contribute to the necessary technical documentation required for regulatory submissions.

Requirements 

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field (or equivalent experience).
• 8–12 years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar).
• Demonstrable capability in designing, implementing, and securing RESTful web services
• Experience in MLOps orchestration and cloud deployment (Docker, Kubernetes).
• Experience with AWS, GitHub, and continuous integration pipelines
• Proven track record of architecting and delivering scalable systems in production environments.
• Experience mentoring engineers and raising the technical bar through reviews and design feedback.
• Strong systems thinking with the ability to evaluate tradeoffs in scalability, reliability, and maintainability.
• Experience designing for observability and operational excellence (e.g., logs, alerts, dashboards, runbooks).
• Comfortable operating in ambiguity and driving clarity across product, engineering, and business stakeholders.

Preferred:

• Experience designing and optimizing end-to-end medical imaging pipelines in a production environment and familiarity with HIPAA/HITRUST security requirements.
• Hands-on experience with Computer Vision and Deep Learning techniques used for medical image processing.

The base salary range for this role varies by location and is aligned to market benchmarks.

• Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range.
• Final compensation is determined based on location, experience, skills, and internal equity.

This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges:

• Base Salary: $153,000 - $179,000
• TTC: $176,000 - $206,000

*Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards.