Project Manager

Verista•Boston, MA

4d•Onsite

About The Position

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.

Requirements

Bachelor's degree in Information Technology, Computer Science, Life Sciences, or a related field (advanced degree a plus)
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

Nice To Haves

PMP, PMI-ACP, CSM, or equivalent project management certification preferred
experience with Spotfire, Maxis AI, Veeva, and BOX applications preferred

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