Project Manager (AI/ML & Clinical Analytics) - Life Sciences

About Verista

Verista’s 500 experts team up with the world’s most recognizable brands in the life science industry to solve their business needs. The nature of our business is to empower growth and innovation within the scientific community and to help researchers, organizations, and companies solve some of the world’s most pressing healthcare challenges. Verista provides innovative solutions and services that empower informed decision-making and are the result of our significant investment in our people and our capabilities.

Our ability to grow is driven by world-class people who thrive in a team environment and share our mission to enable life sciences clients to improve lives. Our talented and dedicated professionals are committed to making an impact every day.

Company Culture Guidelines & Values

• We empower and support our colleagues
• We commit to client success at every turn
• We have the courage to do the right thing
• We encourage an inclusive environment where our colleagues feel respected, engaged, and challenged.
• We constantly acquire new skills and learn from our experiences to enhance our collective expertise

Project Manager Responsibilities

• Manage the full delivery lifecycle of AI-enabled products and features, partnering with data science, engineering, and product teams from ideation through production release
• Coordinate model development, validation, and deployment milestones for AI/ML initiatives, including data readiness, testing, and ongoing monitoring plans
• Lead implementation and enhancement projects for clinical analytical solutions (e.g., clinical reporting/dashboarding platforms, statistical computing environments), coordinating closely with clinical operations, medical reviewers, and data management stakeholders
• Translate clinical and scientific requirements into actionable project plans in partnership with clinical and cross-functional teams
• Ensure AI and clinical analytics projects meet applicable data privacy, data integrity, and regulatory/compliance requirements, including 21 CFR Part 11, GDPR, and HIPAA as applicable
• Lead end-to-end delivery of broader IT projects, including scope definition, planning, resourcing, budgeting, execution, and closeout, applying Agile, Waterfall, or hybrid methodologies as appropriate
• Develop and maintain detailed project plans, schedules, RACI, RAID logs, and status reports for stakeholders and leadership
• Identify, track, and mitigate project risks and issues, escalating appropriately and driving resolution; manage project budgets, forecasts, and vendor/contract commitments
• Coordinate cross-functional teams across IT infrastructure, application development, data/analytics, and QA, and facilitate governance activities such as steering committee updates, change control, and stage-gate reviews
• Ensure projects adhere to IT change management, validation, and documentation standards (including GxP/SDLC requirements), and manage vendor and system integrator relationships, including SOWs and performance tracking

Job Requirements

• Bachelor’s degree in Information Technology, Computer Science, Life Sciences, or a related field (advanced degree a plus); PMP, PMI-ACP, CSM, or equivalent project management certification preferred
• 5+ years of experience managing IT projects, including infrastructure, applications, or data/analytics initiatives, with strong knowledge of project management methodologies (Agile, Waterfall, hybrid) and tools (e.g., Smartsheet, Asana)
• Demonstrated experience managing AI or machine learning product initiatives, from development through deployment, with familiarity in model validation, MLOps concepts, and responsible AI/data governance principles
• Proficiency using AI tools (e.g., Claude, ChatGPT, Gemini) to support project work
• Experience with clinical analytical solutions or platforms (e.g., clinical data management, clinical reporting or dashboards) within a pharmaceutical, biotech, or healthcare setting; industry experience in pharma/biotech/life sciences strongly preferred
• Understanding of clinical data standards and systems (e.g., EDC, CTMS) and the regulatory landscape governing clinical analytics preferred
• Excellent communication and stakeholder management skills, with the ability to translate technical concepts for non-technical audiences, along with strong analytical and problem-solving skills and sound judgment under ambiguity
• Vendor and budget management experience; experience with Spotfire, Maxis AI, Veeva, and BOX applications preferred