Paradigm Health

Manager

• Lead, mentor, and develop a high-performing team of Clinical Data Managers and CDM operations staff.
• Oversee workload allocation, staffing plans, competency development, and performance management.
• Foster a culture of excellence, continuous improvement, and accountability within the CDM function.
• Provide senior oversight of end-to-end CDM activities across multiple studies, including database development, CRF design, edit check specification, cleaning and reconciliation workflows, and database lock.
• Ensure predictable delivery of data management milestones through proactive oversight of timelines, metrics, and quality indicators.
• Anticipate operational risks and lead resolution efforts in collaboration with cross-functional partners.
• Collaborate closely with Clinical Operations, Biostatistics, Safety, Regulatory, Quality, Product, and Engineering to ensure integrated and efficient data delivery.
• Serve as a senior CDM representative in cross-functional study meetings, troubleshooting sessions, and strategic planning discussions.
• Align CDM workflows with broader study goals and portfolio-level priorities.
• Lead the development, refinement, and adoption of CDM SOPs, templates, libraries, and operational playbooks.
• Drive initiatives to streamline workflows, strengthen data quality controls, and enhance scalability across the CDM organization.
• Support digital transformation initiatives, including automation, modern EDC capabilities, and advanced data review tools.
• Serve as a senior CDM point of contact for sponsors, ensuring transparent communication, timely delivery, and trusted partnership.
• Provide proactive updates, risk assessments, and strategic recommendations to internal and sponsor stakeholders.
• Contribute to proposal development, data strategy discussions, and operational feasibility assessments for new and ongoing programs.

Senior Manager, Clinical Data Management

Clinical Research

• Lead and support cross-functional workstreams to drive sound, data-driven, and efficient strategic decision-making and execution
• Bring structured thinking, clear frameworks, and clear, concise communication to strategy work to drive effective decision-making and execution, with strong alignment across executive leadership and functional leaders and teams
• Support strategy development with data-driven analysis and modeling, including financial models and forecasts
• Build a deep, data-driven understanding of the overall market (US and ex-US, oncology and non-oncology), the provider landscape, the trial sponsor landscape, the competitive landscape, the landscape of potential partners and acquisition targets, current policy and policy trends, and other areas
• Infuse data-driven insights and an analytical mindset into strategic decisions while balancing the urgency required to succeed as a startup company
• Enhance Paradigm’s ability to communicate clearly and concisely internally and externally, including with our Board of Directors
• Provide effective leadership, facilitation, and project management to drive efficient and effective cross-functional execution of strategic workstreams
• Design and help implement efficient, measurable operational processes to enable efficient, scalable execution across functions
• Establish and maintain best practices for project management, quality assurance, and performance metrics
• Drive continuous improvement efforts to enhance operational efficiency, productivity, and customer satisfaction long-term vision

Director of Strategy – Business Operations, Healthcare, Clinical Research

Controller

• Direct and execute all accounting functions, including the general ledger, accounts payable, accounts receivable, and payroll.
• Lead and execute the monthly, quarterly, and annual financial closing processes, ensuring timely and accurate preparation of financial statements in accordance with GAAP.
• Lead the technical accounting function for revenue recognition (ASC 606), establishing policies, reviewing complex contracts, and ensuring compliance.
• Serve as the lead technical accounting expert, researching and documenting complex accounting issues specific to the clinical research and life sciences industries.
• Oversee all domestic and international tax matters, including income, sales, use, VAT, and withholding taxes, managing external tax advisors as needed.
• Coordinate and manage the annual external financial audit, acting as the primary point of contact and ensuring efficient completion.
• Lead and manage engagements with accounting consultants for specialized projects (e.g., system implementations, technical accounting white papers).
• Develop and maintain robust internal controls to safeguard company assets and ensure the integrity of financial data.
• Support cash flow, budgeting, forecasting, and financial analysis.
• Partner with leadership to provide financial insights and support strategic decision-making.
• Oversee the continuous improvement of accounting systems and processes to drive efficiency and scalability.

Controller, Senior Accountant – Clinical Research

Engineering Manager

• Lead and mentor a team of data scientists in developing, productionizing, and monitoring ML models at scale.
• Oversee the design and deployment of algorithms, including GenAI/LLM-based models, to support trial execution activities.
• Collaborate closely with cross-functional teams, including clinicians, informaticists, engineers, and stakeholders, to align data science initiatives with business goals.
• Guide the team through the process of gathering requirements, defining model specifications, and generating training and validation datasets.
• Lead the integration of ML models into production infrastructure, collaborating with engineering teams to ensure seamless execution.
• Drive innovation in data science practices and establish a long-term technical vision for the team.
• Communicate the technical and business value of data science initiatives to both technical and non-technical audiences.
• Promote best practices in data science, ensuring high-quality code and model development through effective reviews and mentoring.

Engineering Manager, Machine Learning

Project Manager

• Coordinate Execution of Sponsored Trials:
• Plan, initiate, lead, and manage clinical trials in partnership with a cross functional set of service delivery teams.
• Develop comprehensive project plans outlining timelines, budgets, resources, and deliverables.
• Define accurate milestones, timelines, and budget management for projects to ensure delivery against internal goals
• Oversee site selection, initiation, and patient recruitment deliverables. Ensure sites are adequately trained and resourced to conduct trials in compliance with protocols.
• Regulatory Compliance:
• Work closely with Compliance Team to ensure all clinical trials are compliant with regulatory agencies, Good Clinical Practice (GCP) guidelines, and company SOPs.
• Update guidelines and company SOPs as needed
• Prepare for and participate in regulatory audits and inspections as needed
• Communication:
• Serve as a primary point of contact between sponsors and internal teams in partnership with Sponsor Success Managers. Provide regular updates and progress reports to external and internal stakeholders.
• Support of Sales:
• Develop strong relationships with current clients to generate new and/or additional business in the future
• Liaise with Sales Team about potential new opportunities and facilitate appropriate introductions to client contacts
• Participate in proposals about potential study opportunities and speak as a domain expert in operationalizing the Paradigm platform in context of clinical trials.
• Operational Excellence:
• Establish and maintain best practices for project management, quality assurance, and performance metrics for trials and overall team performance
• Utilize learnings from trial execution to identify opportunities to improve our service delivery model and develop recommendations to address
• Initiate continuous improvement efforts to enhance operational efficiency, productivity, and customer satisfaction long-term vision.

Clinical Trial Project Manager

Data Engineer

• Production readiness - handle a moderate size release, know what it means to monitor it and communicate it.
• Designs and implements solutions using best practices, drives architecture decisions for their team.
• Proactively consider cross team effects of their work, breaks down work and drives with the appropriate stakeholders.
• Proactively communicates updates on progress and blockers to ensure timelines can be met and adjusted accordingly.
• Effectively communicate within your team and other teams.
• Share and promote best practices to help your teammates grow.
• Understands the product area you are working with, and how it is used in context of the overall product.
• Works on epics on the scale of ~ 3 months
• Partner with our customer teams to develop engineering plans to implement our health system partners
• Build and support robust batch and streaming pipelines
• Build tools and processes to make data accessible across products and data consumers
• Evolve the maturity of our monitoring systems and processes to improve visibility and failure detection in our infrastructure
• Become a subject matter expert on our different datasets and tooling

Senior Data Engineer

• Report to the VP of Commercial Business
• Engage with biopharma customers to present Paradigm Health's mission and articulate the capabilities and value of the end-to-end model and commercial solutions
• Generate interest, qualify prospects, and actively drive follow-up conversations supported by Paradigm Health product and clinical SMEs
• Develop and execute strategic account engagement and sales plans across target customers within and across large biopharma accounts to meet and exceed revenue targets
• Build and maintain strong networks and relationships with key stakeholders, including executives and decision-makers in multiple healthcare and pharmaceutical verticals
• Develop and maintain strategic account plans for assigned top-20 pharma accounts, including stakeholder maps and action plans to achieve account objectives and targets
• Demonstrate Paradigm Health’s product and service offerings across protocol optimization, site feasibility and selection, patient screening and recruitment, and trial data capture
• Conduct research on industry trends, competitive landscape, and potential clients to identify new business opportunities
• Collaborate with marketing, product, and customer success to ensure alignment and optimize customer experience
• Maintain accurate records of sales activities, forecasts, and customer interactions within CRM

Account Executive – BioPharma Clinical Research

Director

• Implement Paradigm Software and Solutions workflows at our provider organizations, at scale
• Partner across product development, sales, customer success, engineering, informatics and data science to ensure seamless integration with EHR, Genomics Vendor and CTMS systems
• Manage implementations and track implementation timelines and capacity
• Develop and communicate a comprehensive implementation strategy aligned with company objectives and present updates to executive stakeholders
• Lead, mentor, and empower a team of implementation managers and specialists; manage escalations and risk mitigation
• Serve as primary liaison with key clients during implementation; define project scope, timelines, and deliverables; oversee multiple large-scale software deployments
• Establish and maintain quality assurance processes; define KPIs and metrics; conduct reviews and audits to identify improvements

Executive Director, Implementations

• Trial Coordination &amp; Patient Enrollment: Oversee daily study operations, manage pre-screening, validate patient eligibility, and support smooth handoffs to sites for full screening and consent.
• Site Engagement &amp; Communication: Collaborate closely with site staff and investigators to optimize enrollment workflows, support feasibility assessments, and provide study updates.
• Data &amp; Compliance: Ensure accurate data collection, maintain patient confidentiality, and follow GCP, protocol, and regulatory standards.
• Product Feedback &amp; Platform Insights: Capture site-level and patient insights, track issues or improvement opportunities, and work with product/engineering teams to enhance the Paradigm platform, including NLP-driven features.
• Site Visits &amp; Training: Conduct site qualification visits as needed and support onboarding, training, and ongoing guidance for site teams.
• Mentorship &amp; Team Support: Guide junior CRCs, share best practices, and contribute to continuous improvement across the team

Clinical Research Coordinator

DevOps Engineer

• Infrastructure Development & Optimization: Architect and implement robust, scalable ML infrastructure that supports model training, deployment, and monitoring.
• ML Platform Engineering: Develop and maintain ML model serving and orchestration platforms, ensuring seamless integration with existing engineering workflows. Gitlab pipelines for software and machine learning engineering
• Data Pipeline and Feature Engineering: Design and optimize ETL/ELT pipelines for ML applications, enabling efficient and reliable data preprocessing and transformation.
• MLOps and Automation: Implement MLOps best practices to streamline model lifecycle management, from training to deployment, monitoring, and retraining.
• Cloud & Containerization: Leverage cloud computing resources (AWS, GCP) and container orchestration (Docker, Kubernetes) to scale ML workloads efficiently.
• Monitoring and Reliability: Develop advanced monitoring systems to track model performance, data drift, and infrastructure health.
• Security & Compliance: Collaborate with privacy and security teams to ensure compliance with regulatory standards and best practices for handling sensitive clinical data.
• Collaboration & Mentorship: Work closely with software engineers, data scientists, and ML engineers to align infrastructure with business and technical goals while mentoring junior engineers.
• Stay Current on Engineering and ML Infrastructure Trends: Keep up to date with advancements in ML platforms, distributed computing, and scalable ML systems, integrating innovative solutions into our ML ecosystem.