Forward Deployment Lead, Accelerated Clinical Trials

Job Requirements

Company Overview

ConcertAI is at the forefront of revolutionizing healthcare with our cutting-edge AI and data solutions. Our mission is to accelerate insights, advance research, and improve patient outcomes in oncology and across life sciences. As a leader in real-world evidence (RWE) and data-driven technology, ConcertAI partners with top pharmaceutical companies, healthcare providers, and research institutions to enhance patient outcomes and streamline clinical research. By leveraging evidence-generation and artificial intelligence, we deliver unparalleled insights into treatment effectiveness, patient care, and disease progression to advance precision medicine and medical innovation.

Within the ConcertAI ecosystem, TeraRecon is a leading innovator in advanced visualization, artificial intelligence (AI), and image analysis solutions for healthcare. With a focus on improving clinical workflows and enhancing diagnostic precision, TeraRecon offers scalable platforms like Intuition and Eureka AI to integrate imaging, data, and AI-driven insights seamlessly. Additionally, CancerLinQ, an oncology-focused platform developed by ASCO and now part of ConcertAI, supports cancer centers and practices in improving care quality and discovery.

Joining ConcertAI means becoming part of a visionary team dedicated to transforming the healthcare landscape. You'll have the opportunity to work on innovative projects that directly impact patient lives, collaborate with some of the brightest minds in the industry, and be at the cutting edge of technological advancements in healthcare. ConcertAI offers a dynamic and inclusive work environment, competitive benefits, and ample opportunities for personal and professional growth. If you're passionate about making a difference in healthcare and excited by the prospect of working with advanced AI and data solutions, ConcertAI is the perfect place for you to thrive and make a lasting impact.

Role Summary

The Forward Deployment Product Lead (FDPL) serves as the critical bridge between our clinical trial technology platform and the operational needs of large pharmaceutical sponsors. This role blends product strategy, applied AI/ML expertise, and hands-on deployment leadership. The FDPL ensures that complex clinical, operational, and data workflows are deeply understood, translated into actionable product requirements, and successfully enabled through modern software, AI capabilities (including LLMs), and scalable data solutions.

You will work directly with customer teams to guide solution design, workflow optimization, model-driven features, and data integration strategies. Internally, you will bring structured feedback from real-world deployments to shape our AI-enabled roadmap and ensure the platform delivers measurable impact across global clinical development.

Responsibilities

Customer & Deployment Leadership

• Act as the primary product lead for strategic pharma accounts, ensuring successful deployment, adoption, and value realization of both core platform capabilities and AI-driven features.
• Conduct deep discovery with clinical operations, biometrics, medical, regulatory, and data management stakeholders to identify high-value use cases for automation, prediction, and generative AI support.
• Lead cross-functional squads (engineering, data science, solutions, customer success) through implementation cycles that include workflow design, model integration, and iterative refinement.
• Serve as the customer’s strategic partner during trial- and program-level deployments; anticipate change management needs associated with AI feature introduction and ensure responsible, compliant use of advanced technologies.

AI, Data Science, and Product Strategy

• Translate clinical workflows and customer pain points into requirements for AI-enabled capabilities (e.g., protocol summarization, automated monitoring insights, predictive enrollment modeling, anomaly detection, document intelligence).
• Collaborate with Product Management and Data Science teams to evaluate feasibility, design user interactions, and prioritize model improvements based on real-world usage.
• Partner with customers to validate model outputs, collect feedback, and assess performance in regulated settings, ensuring transparency and alignment with GxP expectations.
• Champion opportunities where LLMs, machine learning, and data engineering can streamline processes such as study startup, query management, risk-based monitoring, medical review, or vendor oversight.

Data & Integration Expertise

• Lead requirements for structured and unstructured data flows between the platform and clinical systems (EDC, CTMS, eCOA, imaging, safety, medical writing tools, and document repositories).
• Work closely with data engineering and ML teams to define training data needs, metadata standards, and validation criteria for AI-enabled features.
• Help customers understand and operationalize insights derived from predictive models, natural language processing workflows, or large-scale data analytics.

Change Management & Customer Enablement

• Guide customers through adoption of AI-driven capabilities, including communication plans, training materials, workflow redesign, and impact assessments.
• Develop customer-facing resources—workflow maps, configuration guides, validation documentation, and best-practice playbooks for AI feature usage.
• Drive stakeholder alignment across study leadership, IT, data science groups, and CRO partners to ensure consistent understanding and responsible implementation.

What Success Looks Like

• Enterprise customers adopt and expand use of both core and AI-enabled platform features across trials and therapeutic areas.
• Deployments meet timelines, quality standards, and user adoption targets, including successful onboarding of AI workflows.
• Frontline insights drive measurable improvements to model features, LLM interactions, and the broader product roadmap.
• The FDPL becomes a trusted advisor to sponsors, shaping digital and AI transformation initiatives across clinical development.

Requirements

• Minimum Bachelor’s degree; Advanced degree preferred
• 5–10+ years of experience in clinical trial software, life sciences technology, AI-enabled SaaS, or data/analytics-driven product delivery.
• Strong understanding of clinical development workflows (study startup, data management, monitoring, medical review, trial operations).
• Demonstrated success leading complex enterprise software deployments with large pharma or CROs.
• Experience working with AI/ML products, LLMs, data science teams, or analytics-driven workflow tools.
• Ability to translate ambiguous user needs into crisp product requirements and model-supported workflows.
• Strong communication skills and comfort engaging senior R&D, digital, and data/AI stakeholders.
• Travel to customer sites is required and expected to be 75%
• Ideally located in the NY / NJ / CT .

Preferred

• Familiarity with NLP/LLM applications in regulated environments (document automation, knowledge retrieval, summarization, labeling).
• Experience in machine learning-driven risk assessment, operational analytics, or predictive modeling for clinical trials.
• Understanding of GxP, validation requirements, model monitoring, and change control for AI-enabled systems.
• Background in product management, technical consulting, or data science applied to life sciences

Learn More About ConcertAI

Our team at ConcertAI is dedicated to transforming healthcare decision-making through the application of RWE and AI to improve patient outcomes. We work in a fast-paced, dynamic, high-performing culture where diversity, collaboration, and innovation are valued. Join us on our quest to create a world free of disease. Learn more about ConcertAI at www.concertai.com , or follow us on LinkedIn. Serving 1,300 clinical sites globally, TeraRecon - a ConcertAI company - is a Best in KLAS solution provider for AI-empowered radiology, oncology, cardiology, neurology, and vascular surgery. In the future, the combination with ConcertAI could bring a single, advanced AI-augmented diagnosis and interpretation capability from clinical trials to patient care. Learn more about TeraRecon at www.terarecon.com , or follow us on LinkedIn.

EEO

ConcertAI provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.