HOPPR

👥 11-50 Artificial Intelligence (AI)Medical Information Technology Health Care Health Diagnostics Software💼 Private Company

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HOPPR is a company that provides a secure platform with data, foundation models, and tools aimed at enhancing app development through improved accuracy and performance.

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Jobs at this company:

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🔥 Technical Project Manager

Posted 8 days ago

🔍 Healthcare Technology

🔧 Requirements

5+ years of experience in technical project management, ideally in MedTech, healthcare, or AI development.
Strong understanding of AI/ML development lifecycles and software development practices.
Experience working in regulated environments (e.g., knowledge of FDA approval pathways for medical devices).
Excellent organizational, communication, and leadership skills.
Familiarity with project management tools (e.g., Jira, Trello, Asana) and Agile/Scrum methodologies.

💡 Responsibilities

Lead the end-to-end project lifecycle for AI model development, deployment, and clinical integration.
Develop project plans, schedules, milestones, and deliverables to ensure timely execution.
Coordinate sprints, releases, and deployments across engineering and product teams.
Collaborate with internal teams (AI researchers, clinicians, and software developers, quality and regulatory, commercial) and external stakeholders (partners, hospitals, regulatory bodies, and vendors) to ensure clear communication and alignment.
Serve as a liaison between technical teams and non-technical stakeholders, ensuring technical concepts are effectively translated.
Identify and manage potential project risks and by developing mitigation strategies.
Monitor project performance, resolve issues, and implement improvements where necessary.
Understand AI development processes, including model training, validation, and deployment pipelines.
Work with the development team to oversee system architecture, data pipelines, and API integration into clinical workflows.
Ensure compliance with regulatory standards (e.g., FDA, HIPAA) during project execution.
Allocate cross-functional resources efficiently and ensure project costs align with budgets.
Track project expenditures and prepare periodic status reports for management.
Collaborate with QA teams to implement validation strategies for AI models.
Work closely with regulatory experts to ensure products will meet clinical safety and ethical guidelines for our partners.

Posted 8 days ago

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🔥 ML Research Scientist

Posted 10 days ago

🔍 Medical Imaging

🔧 Requirements

PhD (or Master’s with 3+ years experience) in Computer Science, Electrical Engineering, Biomedical Data Science, or a related field. Senior and Principal roles considered based on experience.
Proven track record in medical machine learning research, as demonstrated by first-author publications in leading venues (e.g., Nature, CVPR, ACL, ICML, NeurIPS, MICCAI, IEEE, or similar).
Extensive experience developing and implementing state-of-the-art deep learning models using frameworks like PyTorch or Tensorflow and tools like Hugging Face.
Strong expertise in ML domains such as computer vision, NLP, and multimodal AI applications.
Familiarity with medical imaging, clinical workflows, and the healthcare industry (preferred, not required).
Exceptional problem-solving and analytical abilities.
Strong communication skills and a collaborative mindset.

💡 Responsibilities

Research, prototype, and deploy state-of-the-art machine learning algorithms for medical imaging, NLP, and multimodal tasks.
Define and lead an ambitious research agenda with clear, measurable milestones.
Collaborate with clinicians, engineers, and product teams to understand critical needs and align research priorities.
Share insights and breakthroughs through publications in leading conferences and journals.
Present your work internally to gather feedback and foster collaboration across research, engineering, and clinical teams.
Build and improve shared infrastructure and tools that support research and engineering initiatives.
Thrive in a dynamic and rewarding environment that emphasizes excellence, autonomy, and impact.

Posted 10 days ago

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🔥 ML Engineer

Posted 10 days ago

📍 United States

🧭 Full-Time

🔍 Medical Imaging, AI/ML

🔧 Requirements

Master’s or PhD in Computer Science, Engineering, or a related field
3+ years' experience in relevant roles
Proficiency in Python and machine learning frameworks such as PyTorch or TensorFlow
Strong understanding of MLOps practices
Experience with cloud platforms (e.g., AWS, GCP, Azure)
Knowledge of data engineering principles

💡 Responsibilities

Develop, deploy, and maintain state-of-the-art machine learning models
Design and implement robust ML pipelines and shared infrastructure
Collaborate with researchers to translate algorithms into production-ready solutions
Build and maintain MLOps tools and practices
Optimize model performance in production environments
Partner with clinicians and product teams

AWSDockerPythonSQLGCPKubernetesMachine LearningPyTorchAzurePandasTensorflow

Posted 10 days ago

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🔥 Senior Product Manager, Medical Imaging Foundation Models

Posted 13 days ago

📍 US

🔍 Medical Imaging

🔧 Requirements

BS, MS, or PHD in engineering or relevant field
5+ years of product management experience, with a proven track record of defining, developing, and launching successful AI-driven products in healthcare.
Prior experience in a fast-paced or startup environment is advantageous.
Experience with agile development.
Ability to translate and articulate complicated and/or ambiguous business problems into easily understood solutions and functional requirements.
Ability to define and analyze key product metrics to assess performance and drive continuous improvement.
Experience working on products across the full product lifecycle (conception, development, go-to-market, and post launch support).
Proven track record of delivering scalable, customer-focused solutions.
Proven written and oral communication skills and ability to influence colleagues.
Ability to travel to the HOPPR on-sites and customer sites up to 25% of the time.

💡 Responsibilities

Develop and maintain detailed roadmaps for HOPPR’s medical grade platform ensuring alignment with business goals and customer needs.
Engage a core group of stakeholders, both internal and external, to inform and shape the product roadmap.
Understand customer needs, perform market research and evaluate the competitive landscape and translate those findings into well-defined requirements for the engineering team.
Define and prioritize product requirements for self-service fine-tuning tools, APIs, and customer-facing dashboards.
Drive end-to-end execution for HOPPR's medical grade platform, ensuring scalability, ease of use, security and compliance.
Manage prioritization and trade-offs to ensure platform features meet customer needs, maintain high-quality standards, and support future growth.
Partner with engineering to work through implementation details, spec reviews, design reviews and ensure the on-time delivery of features.
Partner with product management counterparts on delivering the whole solution.
Work closely with product management and leadership teams to develop and support the go-to-market strategy.
Develop and communicate clear product messaging, positioning, and value propositions tailored to various customer segments.

AWSLeadershipSQLAgileArtificial IntelligenceCloud ComputingData AnalysisMachine LearningProduct ManagementCross-functional Team LeadershipProduct DevelopmentProduct AnalyticsAlgorithmsAPI testingData StructuresREST APICommunication SkillsAnalytical SkillsCollaborationProblem SolvingMarket ResearchStakeholder managementStrategic thinkingCustomer Success

Posted 13 days ago

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🔥 Client Engagement Manager

Posted 13 days ago

🔍 Healthcare

🔧 Requirements

3-5 years in a customer-facing B2B client engagement, account management, project management or client success role, preferably in the healthcare or clinical AI industry.
Basic understanding of AI/ML concepts and the ability to discuss technical details with non-technical stakeholders.
Strong verbal and written communication skills tailored to a professional B2B audience.
Ability to analyze client data to drive engagement strategies and improve outcomes.
Proven ability to manage multiple client accounts and projects simultaneously. Experience with project management tools and methodologies.

💡 Responsibilities

Serve as the primary point of contact for client engagement throughout the partnership lifecycle.
Build and maintain strong, long-lasting relationships with key client stakeholders.
Understand client strategic objectives, challenges, and expectations, and ensure alignment with the solutions provided.
Collaborate with clients to gather detailed requirements and translate them into actionable project plans.
Work with technical teams to ensure that the ML models and solutions meet the client’s needs and are aligned with industry best practices.
Provide regular updates to clients on engagement/project status, deliverables, and any issues or changes in scope.
Manage client expectations, addressing any concerns or feedback promptly and effectively.
Present project results and insights to clients, demonstrating the value delivered by the ML solutions.
Support the client revenue growth, including strategic account management, proposal and SOW development and client presentations.
Identify new business opportunities through data-driven insights with existing clients and work to expand our market presence.
Identify product gaps that need to be addressed to support satisfaction and competitive advantage.
Work closely with Client Engagement, product, and support teams to align on client needs and drive a unified engagement strategy.
Facilitate communication between cross-functional teams to ensure seamless collaboration and knowledge sharing.
Address and resolve client concerns in a timely manner, ensuring a smooth and positive client experience.

Posted 13 days ago

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🔥 Innovation and Clinical Researcher

Posted 6 months ago

📍 California, Illinois, Minnesota, New York, Pennsylvania, Tennessee, Texas, Washington, Wisconsin

🔍 AI in medical imaging

🔧 Requirements

Doctorate or equivalent degree in Computer Science, Artificial Intelligence, Engineering, or a related field.
Translational research experience in a clinical setting with AI models.
Experience in building and validating AI models for medical imaging.
Strong understanding of data curation, labeling, and validation processes.
Proven track record of research publication in medical or AI journals.
Experience collaborating with academic institutions.
Strong organizational and communication skills.
Ability to work independently in a remote environment.

💡 Responsibilities

Explore and experiment with advancements in generative AI to improve model performance.
Drive research using AI methods to solve clinical problems with a focus on patient outcomes.
Guide and support collaborations with academic partners.
Manage research agreements and deliverables.
Publish research findings and present results at scientific venues.

LeadershipProject ManagementPythonArtificial IntelligenceData AnalysisImage ProcessingKerasMachine LearningNLTKNumpyOpenCVProduct ManagementPyTorchCross-functional Team LeadershipProduct DevelopmentAlgorithmsGoPandasTensorflowCommunication SkillsAnalytical SkillsCollaborationC (Programming language)

Posted 6 months ago

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