×
Register Here to Apply for Jobs or Post Jobs. X

AI Lead, Discovery and Development

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: AstraZeneca GmbH
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    AI Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 203213.6 - 304820.4 USD Yearly USD 203213.60 304820.40 YEAR
Job Description & How to Apply Below

Alexion is seeking a visionary AI lead to shape and execute the AI strategy across our R&D organization, spanning early research, preclinical work, and clinical development. This role will partner closely with R&D teams to translate scientific challenges into actionable AI opportunities, accelerate pipeline productivity, enable AI-driven solutions that accelerate innovation, enhance scientific rigor, and advance transformative medicines for patients with rare diseases.

You will lead the design, development, and adoption of advanced AI/ML capabilities that elevate target discovery, optimize trial design and execution, strengthen data-driven decision making, and unlock new scientific insights across the R&D lifecycle. This role blends deep technical expertise with strong product thinking, scientific acumen, and exceptional stakeholder leadership.

You will be responsible for:
  • AI Strategy & Portfolio
    :
    Identify and prioritize business aligned AI opportunities and define the multi-year AI strategy and roadmap. Govern the portfolio from proof of concept through validation to scaled products, with clear stage gates, success metrics, and value tracking.‑aligned AI opportunities ‑of‑concept through validation to scaled products, with clear stage gates, success metrics, and value tracking.
  • Ownership & Delivery
    :
    Act as the product owner for AI solutions (e.g., target , compound optimization, translational and clinical decision support). Set problem statements, adoption thresholds, and benefits realization plans; oversee delivery with internal teams and partners.
  • Business Interface & Partnerships: Serve as the primary interface between R&D teams, data scientists, and external AI partners. Translate scientific and operational needs into AI solutions. Evaluate buy‑build‑partner options and manage vendors/consortia.
  • Workflow Integration & Change
    :
    Lead the integration of AI into business workflows, data systems, and SOPs. Drive change management and adoption programs, including stakeholder engagement, training, communications, super‑user networks, feedback loops, and human‑in‑the‑loop controls.
  • Data & Platforms
    :
    Partner with the Head of Data and Tech teams to enable access to high-quality, well governed research and clinical data, promote FAIR principles, and influence platform architecture and MLOps/LLMOps considerations to scale AI responsibly.‑quality, well‑governed research and clinical data, promote FAIR principles, and influence platform architecture and
  • Governance, GxP & Responsible AI
    :
    Ensure AI solutions meet GxP, data integrity, privacy, and audit requirements. Establish practices for model validation, bias/robustness testing, explainability, documentation, model monitoring, performance SLAs, and inspection readiness.
  • Impact & Communication: Define OKRs/KPIs tied to R&D outcomes (e.g., hit/lead success rates, cycle‑time reduction, protocol optimization, enrollment speed, cost avoidance, risk detection). Track and communicate progress, impact, and value to R&D and executive leadership with clear narratives and evidence.
  • Talent & Culture
    :
    Build and nurture a cross‑functional network of super‑users and AI champions; set standards and best practices. Foster a culture of scientific rigor, product thinking, innovation, and measurable impact; promote agile ways of working across Alexion.
You will need to have:
  • Education: Advanced degree preferred (MS/PhD in life sciences or quantitative fields; or MBA) with strong biopharma R&D exposure and meaningful AI familiarity (coursework, certifications, executive programs, or applied initiatives).
  • Experience: 10+ years in biopharma/biotech R&D or adjacent life sciences functions, with 5+ years leading cross‑functional, technology‑enabled portfolios and driving business outcomes. Demonstrated success sponsoring or directing AI initiatives from concept to scaled adoption, including vendor and partner management.
  • Business Domain Expertise: Deep understanding of the end‑to‑end R&D value chain. Able to translate scientific and operational needs into AI‑enabled business solutions.
  • Product and Portfolio Leadership: Proven ability to define roadmaps, prioritize portfolios, manage…
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)

Job Posting Language
Employment Category
Education (minimum level)
Filters
Education Level
Experience Level (years)
Posted in last:
Salary