C

ConcertAI

AI-powered SaaS for clinical trial analytics

Senior Business Analyst

Business AnalysisConfirmed live in the last 24 hours
Full-timePlymouth Meeting, PA, USANo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Business, Information Systems, Computer Science, Healthcare Administration, Analytics, or a related field is required.
  • 2–10 years of relevant experience as a Business Analyst, Implementation Consultant, Product Analyst, or similar role supporting complex technology or data implementations.
  • Experience working with pharmaceutical, biotechnology, healthcare, healthcare data, or healthcare technology organizations.
  • Strong requirements elicitation, analysis, documentation, and management skills.
  • Experience translating business needs into functional requirements, user stories, business rules, and acceptance criteria.
  • Experience facilitating customer discovery sessions, requirements workshops, and stakeholder interviews.
  • Strong SQL skills and ability to use data analysis to investigate requirements and validate outcomes.
  • Experience developing and executing UAT strategies, test scenarios, test cases, and acceptance criteria.
  • Understanding of data mapping, transformation, integration, and data-quality concepts.
  • Experience working with Product, Engineering, Data, QA, and Project Management teams.
  • Familiarity with Agile software development methodologies and tools such as Jira.
  • Ability to manage multiple priorities and operate effectively in complex and ambiguous implementation environments.

Responsibilities

  • Partner directly with pharmaceutical and life sciences customers to understand business objectives, workflows, analytical needs, data requirements, and operational processes.
  • Facilitate detailed discovery sessions, requirements workshops, and stakeholder interviews with business and technical participants.
  • Analyze current-state business processes and document future-state functional requirements.
  • Translate customer needs into business requirements, functional specifications, user stories, process flows, business rules, and acceptance criteria.
  • Maintain requirements documentation and traceability throughout the implementation lifecycle.
  • Identify gaps, ambiguities, conflicting requirements, and unresolved business decisions and drive them to resolution with stakeholders.
  • Ensure customer requirements remain aligned with approved project scope and established solution architecture.
  • Partner with the Solution Architect when requirements affect overall solution design, platform capabilities, data architecture, or integrations.
  • Define detailed functional and configuration requirements for ConcertAI Data Foundry, Maestro Configuration, and Cadence Suite applications.
  • Translate customer business rules into configuration specifications and expected system behaviors.
  • Partner with Product and Engineering teams to clarify functional requirements throughout development and configuration.
  • Evaluate delivered functionality against documented business requirements and acceptance criteria.
  • Identify requirements that cannot be met through existing configuration or functionality and escalate potential product or solution gaps to the Solution Architect and Product teams.
  • Maintain documentation of business rules, configuration decisions, assumptions, and customer approvals.
  • Define detailed business requirements for customer and third-party data used within ConcertAI solutions.
  • Document data definitions, mappings, business rules, transformation requirements, and expected outcomes from a business perspective.
  • Analyze healthcare and commercial datasets to validate requirements and investigate data-related questions.
  • Write SQL queries to investigate issues, validate data, and support requirements analysis and testing.
  • Partner with Data Engineering teams to clarify data mapping, transformation, and integration requirements.
  • Validate that data outputs and application functionality meet documented customer business requirements.
  • Identify and investigate data-quality issues with Data Operations and Engineering teams.
  • Develop user acceptance testing scenarios, test cases, and acceptance criteria based on approved business requirements.
  • Coordinate customer UAT activities in partnership with the Project Manager.
  • Prepare customers for UAT by defining test scenarios, expected results, data requirements, and testing processes.
  • Support customers during testing by clarifying expected functionality and business rules.
  • Analyze defects and determine whether issues represent defects, requirements gaps, configuration changes, or scope changes.
  • Partner with Engineering, Product, and Data teams to resolve functional and data-related defects.
  • Maintain requirements-to-test traceability and confirm approved requirements have been validated before go-live.
  • Support production readiness and post-launch validation activities.
  • Serve as the functional subject-matter lead throughout implementation.
  • Partner with Project Managers to incorporate requirements, decisions, dependencies, and customer actions into the implementation plan.
  • Work with Solution Architects to keep detailed requirements consistent with the approved solution design.
  • Provide business context and requirements clarification to Product, Engineering, Data Operations, and QA teams throughout implementation.
  • Participate in implementation kickoff meetings, design reviews, status discussions, testing reviews, and go-live readiness activities as appropriate.
  • Support post-launch stabilization by investigating functional and data issues and validating resolutions against customer requirements.
  • Capture implementation learnings and recurring requirements to improve future implementations.
  • Identify recurring customer requirements and implementation patterns that may present opportunities for product or platform improvements.
  • Provide structured customer and implementation feedback to Product Management.
  • Partner with Product to distinguish customer-specific requirements from broader platform needs.
  • Contribute business and customer context to roadmap discussions while focusing on scalable platform capabilities.
  • Develop deeper expertise across Data Foundry, Maestro Configuration, and Cadence Suite applications and apply it to improve requirements quality and implementation outcomes.
  • Build trusted working relationships with customer business, analytics, operations, data, and technical stakeholders.
  • Serve as the primary point of contact for detailed functional requirements, business rules, and UAT-related questions.
  • Facilitate productive discussions between customer stakeholders and ConcertAI technical teams.
  • Communicate complex functional and data concepts to business and technical audiences.
  • Help customers understand how approved requirements translate into system functionality and data outputs.

Desired Qualifications

  • Experience within pharmaceutical commercial operations, Market Access, Patient Services, Specialty Pharmacy, Hub Services, or Commercial Analytics.
  • Knowledge of specialty pharmacy, specialty distributor, hub, claims, payer, patient services, or real-world data.
  • Experience supporting enterprise SaaS, healthcare data, analytics, or data aggregation implementations.
  • Experience with healthcare data integration and ETL/ELT concepts.
  • Familiarity with cloud data platforms; AWS experience is preferred.
  • Experience working with healthcare data privacy and regulated environments, including HIPAA.
  • Experience working with third-party healthcare data vendors and complex data ecosystems.

About the Company

ConcertAI

AI-powered SaaS for clinical trial analytics

ConcertAI uses an AI-powered data analytics SaaS platform to speed up clinical trial data analysis and support cancer research across radiology, hematology, and breast cancer. Its software ingests diverse trial datasets and employs machine learning and analytics techniques to generate actionable insights for randomized, pragmatic, external control, and adaptive trials. The platform is subscription-based, serving healthcare providers, research institutions, and other trial-affiliated organizations. How it differs from competitors: it combines AI-driven trial data analytics with a broad focus on oncology research and real-world data, plus engagement with the global research community to stay aligned with the latest radiology, hematology, and breast cancer advances, aiming to improve trial efficiency and accelerate cancer care. Goal: to improve the efficiency of clinical trials and advance cancer care through AI-enabled insights and scalable SaaS delivery.

Company size
501-1,000
Company stage
Series C
Total funding
$300M
Headquarters
Cambridge, MA
Founded
2017

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