Perceptive Inc.

Medical writer

• Create, research, edit and coordinate production of clinical documents related to independent review
• Prepare clinical documents for submission to regulatory authorities
• Prepare clinical documents not intended for regulatory submission
• Revise drafts based on review comments from team members
• Follow SOPs, templates, guidelines, regulations, client instructions and applicable processes
• Perform literature searches and reviews for background information and training
• Draft or ghost-write clinical documents for more experienced medical writers
• Support team members to ensure documentation is accurate and meets stakeholder needs
• Participate in process improvement and training initiatives, including development of SOPs, central content, guidelines and workflow procedures
• Participate in marketing initiatives such as white papers, abstracts, posters and manuscripts
• Serve as primary client contact for medical writing projects
• Negotiate deliverable timelines and resolve project-related issues
• Represent medical writing on assigned project teams and facilitate authoring team meetings
• Coordinate and conduct interdepartmental reviews of draft and final documents
• Evaluate task progress, identify issues, facilitate resolutions and advance documents to approval
• Distribute final documents to project teams and clients on agreed timelines
• Identify project challenges and raise them with stakeholders, suggesting resolution options
• Attend project team meetings and maintain project documentation
• Provide project management of contractual and financial aspects when required
• Implement stakeholder engagement and communications plans
• Manage problems, issues, resolutions, corrective actions and lessons learned
• Collect and use stakeholder feedback to measure relationship-management effectiveness
• Develop and enhance customer and stakeholder relationships
• Develop, maintain, control and distribute documents using systematic quality methods
• Prepare documents for publishing readiness and ensure consistency and integrity
• Ensure documentation adheres to FDA, EMA and other applicable regulatory guidelines and SOPs
• Perform medical editing reviews of draft and final documents, including copyediting and content review
• Control updates and distribution of quality standards
• Carry out other reasonable duties as requested

Senior Medical Writer

Software Engineer

• Work within the Image Analysis team with developers and IA experts to improve and develop workflows
• Understand needs for new or improved tools and help guide and direct team members as tools are developed
• Serve as an analysis lead overseeing all steps of analysis for imaging studies
• Provide support for image analysis and ensure quality control across studies
• Follow research and industry trends and integrate them into organizational practices
• Identify development opportunities to improve analysis workflows and efficiencies
• Partner with scientists and analysts to define requirements
• Communicate complex technical concepts to technical and non-technical stakeholders
• Explain typical workflows to facilitate use, modification, and training
• Provide updates on workflow changes and solicit feedback on future improvements
• Modify and maintain scripts for IA workflows, including VQS and Python
• Create new scripts for IA workflows with guidance from senior members
• Test new or modified tools, including validation testing
• Oversee and monitor development and testing of tools by other team members
• Support training and team-level documentation
• May manage a small number of junior analysis developers as direct reports
• Identify opportunities to improve existing systems with new techniques
• Contribute to the company’s intellectual property through innovative solutions
• Publish and present work at conferences
• Carry out other reasonable duties as requested

Senior Analysis Developer

Product Manager

• Define and own the product vision for a comprehensive AI-enabled medical imaging SaaS platform serving clinical trials globally
• Develop strategic roadmaps integrating scientific developments to reduce manual review time and accelerate trial timelines
• Identify opportunities for automation, predictive analytics, and intelligent image processing
• Create business cases for automation and AI investments and demonstrate ROI
• Drive strategy for multi-tenant, cloud-native SaaS solutions supporting MRI, CT, PET, ultrasound, and digital pathology
• Establish SaaS metrics and KPIs covering uptime, scalability, adoption, customer success, and trial efficiency
• Define integration strategies with CTMS, EDC, and PACS/imaging vendor ecosystems
• Translate strategy into actionable roadmaps and prioritize features based on clinical impact, business value, user needs, and technical feasibility
• Gather insights from clinical trial sponsors, imaging CROs, and site users to validate product direction
• Align commercial, marketing, and customer success teams around product-market fit and go-to-market execution
• Collaborate with Product Owners and Solution Architects on requirements, technical feasibility, and platform architecture
• Analyse competitors, AI capabilities, regulatory trends, industry trends, and customer segments
• Manage the full product lifecycle from concept to retirement
• Monitor product performance through trial outcomes, imaging throughput, AI model performance, and user satisfaction
• Lead product launches, go-to-market planning, user training, and customer success enablement
• Establish customer and clinical-user feedback loops for continuous product improvement
• Develop strategies to evolve existing products into cloud-based SaaS platforms
• Manage product budgets, resource allocation, and financial viability assessments
• Provide functional leadership, coaching, and performance feedback to other Product Managers
• Build relationships with senior leadership, clients, and other stakeholders; represent the organization at industry events
• Analyse clinical imaging workflows and operational bottlenecks to identify automation opportunities
• Evaluate product usability and accessibility and drive business process reengineering
• Ensure compliance with 21 CFR Part 11, HIPAA, GDPR, GxP, DICOM, and HL7 FHIR
• Collaborate on validation documentation, audit trails, compliance evidence, and explainable, clinically validated AI/ML features
• Maintain awareness of FDA AI/ML guidance
• Engage deeply with clinical imaging workflows and partner with clinical operations on imaging charter development, site qualification, protocol compliance, and data management
• Design features addressing multi-site standardization, reader blinding, inter-reader variability, and protocol adherence
• Support diverse therapeutic areas and specialized imaging endpoints

Senior Product Manager, Medical Imaging

Data Engineer

• Build scalable, cloud-native data pipelines for batch and streaming workloads
• Support implementation of data ingestion frameworks for structured, semi-structured, and unstructured data
• Develop APIs and integration services for data exchange between internal systems
• Support platform scalability and reliability across global operations while collaborating with Senior Engineers
• Support implementation of database and storage solutions across relational, NoSQL, and data lake systems
• Develop metadata-driven ingestion and transformation frameworks
• Assist in ensuring data schemas support analytics, AI/ML, and business applications
• Implement data quality frameworks, validation rules, and automated checks
• Build reusable transformation components to standardise data processing
• Support data lineage, cataloguing, and governance capabilities under guidance
• Ensure data privacy, protection, and regulatory compliance
• Develop high-throughput distributed data processing solutions
• Optimise data pipelines for performance, cost efficiency, and resilience
• Contribute to observability and monitoring for pipeline health, data drift, and SLA compliance
• Build caching, partitioning, and indexing strategies to improve query performance
• Enable data scientists with curated datasets and feature pipelines
• Develop real-time or batch-oriented feature stores
• Integrate data workflows with MLOps and model deployment systems under guidance
• Build visualisation-ready datasets for BI tools and dashboards
• Apply security practices including role-based access control, encryption, and secure data-sharing patterns
• Support compliance with FDA/GxP, GDPR, HIPAA, and other regulations
• Develop audit trails, data retention, and disaster recovery solutions
• Stay informed on emerging data engineering, AI, and cloud technologies
• Share insights and drive continuous improvement across data engineering practices