AI-Driven IT Project Manager - Clinical Analytics

LVI Associates

Boston (MA)

On-site

USD 120,000 - 160,000

Full time

2 days ago
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Job summary

LVI Associates in Boston seeks an IT Project Manager - AI/Clinical Analytics to lead the full delivery lifecycle of AI-enabled IT initiatives, partnering with data science, engineering, and product teams from ideation through production.

The role involves managing AI/ML milestones, clinical analytics platforms, and ensuring compliance with data privacy and regulatory standards across pharma, biotech, and healthcare environments. Strong SDLC discipline and stakeholder communication required.

Qualifications

  • Bachelor's degree in IT, CS, Life Sciences or related field.
  • PM certification preferred (PMP/PMI-ACP/CSM).
  • 5+ years leading IT projects in healthcare, pharma, or biotech environments.

Responsibilities

  • Lead full delivery lifecycle of AI-enabled products and IT initiatives.
  • Coordinate AI/ML milestones from ideation to production release.
  • Manage clinical analytics platforms and dashboards with stakeholders.
  • Translate clinical requirements into actionable project plans.
  • Ensure data privacy, integrity, and regulatory compliance (21 CFR Part 11, GDPR, HIPAA).
  • Apply Agile, Waterfall, or hybrid methodologies; manage budgets and vendors.
  • Develop schedules, RAID logs, and status reports for leadership.
  • Govern cross-functional teams across IT, data/analytics, and QA.

Skills

Project management
Agile methodologies
Stakeholder management
Communication
Regulatory compliance
Budgeting and planning
Vendor management
AI/ML project delivery
GxP/SDLC

Education

Bachelor's degree in Information Technology or related field
PMP/PMI-ACP/CSM certification

Tools

Smartsheet
Asana
Spotfire
Maxis AI
Veeva
BOX

Job description

LVI Associates in Boston seeks an IT Project Manager - AI/Clinical Analytics to lead the full delivery lifecycle of AI-enabled IT initiatives, partnering with data science, engineering, and product teams from ideation through production.

The role involves managing AI/ML milestones, clinical analytics platforms, and ensuring compliance with data privacy and regulatory standards across pharma, biotech, and healthcare environments. Strong SDLC discipline and stakeholder communication required.

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