AstraZeneca

Cell Therapy Data and AI Productivity

AstraZeneca$188K — $282K *
Pharmaceuticals & Biotech
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Advanced degree (MD, PharmD, PhD, or MSc) with 5+ years in the life sciences or technology industries.
  • Deep knowledge of disease biology, translational biomarkers, and regulatory expectations for AI-generated evidence.
  • Experience implementing AI/ML concepts, data-engineering pipelines, and agile sprint management in a matrixed environment.
  • Ability to translate emerging technologies into compliant capabilities.
  • Influential communicator capable of distilling complex analytics for non-experts.
  • Curiosity and a relentless focus on delivering transformative medicines.

Responsibilities

  • Develop AI solutions specific to Cell Therapy, including real-world data analytical tools and automation pipelines.
  • Oversee performance dashboards and databases to maintain clinical relevance.
  • Embed continuous improvement practices to enhance data-centric workflows.
  • Prioritize activities to accelerate clinical development and increase the probability of success in later phases.
  • Collaborate with cross-functional teams to provide insights for protocol amendments and strategic reviews.
  • Evaluate partnerships and emerging technologies for AI in clinical trials.
  • Manage collaboration agreements and align deliverables with asset plans.

Benefits

  • 401(k) plan with retirement contributions.
  • Paid vacation and holidays.
  • Paid leaves.
  • Health benefits including medical, dental, and vision coverage.
  • Short-term and long-term incentive opportunities.
Full Job Description

The Data and AI Productivity role is a high-impact leadership role accountable for shaping and driving the end-to-end strategy and utilization of AI and Data Science across the Cell Therapy Enterprise. You will work with senior leaders across Cell Therapy and with IT and Enterprise AI leadership to develop strategic initiatives, partnerships, and data management to enable Cell Therapy as an AI-native organization.

Key Responsibilities

AI and Data Enablement of Cell Therapy Enterprise

  • Develop AI solutions specifical to Cell Therapy, including real-world data analytical tools, live data processing capabilities, and automation pipelines.
  • Oversee performance and data dashboards and databases and feature augmentation to maintain clinical relevance.
  • Embed continuous improvement (retrospectives, playbooks, mentoring) to propagate datacentric workflows across study teams.

AI in Cell Therapy clinical development and commercialization

  • Frame and prioritize activities that accelerate Ph I/II decisions and increase Ph III probability of success, including optimal dose/schedule, biomarkerdriven patient selection, combinationtherapy hypothesis generation, and early futility or go/nogo predictions.
  • Partner with data engineering, bioinformatics, and clinical statistics leads to deliver insights for protocol amendments, cohort expansions, or assetstrategy reviews.
  • Develop AI and data solutions that accelerate commercialization and care delivery of our Cell Therapy portfolio.

Technology Scouting and Portfolio Prioritization

  • Identify and evaluate AI agents, multimodal analytics, realworld data platforms, and academic collaborations.
  • Provide horizon scanning and competitive intelligence on disruptive technologies and evolving regulatory guidance for AIenabled trials.
  • Negotiate and manage collaboration agreements, valueshare models, and joint milestones with AI startups, established companies, academic labs, and cloud vendors; align deliverables to asset plans.

Cross-functional leadership

  • Liaise with the EAI and IT units to develop end-to-end solutions, raising awareness of new technologies, informing commercial implications, and shaping commercial models where applicable.
  • Build investment cases quantifying impact on cycle time, cost, and probability of success; prioritize pilots within the Cell Therapy portfolio and working closely with EAI and cross-AZ IT units.
  • Manage required AI and Data governance processes on behalf of the Cell Therapy Enterprise; Represent the Cell Therapy Enterprise on relevant governance and leadership bodies

Qualifications

  • Advanced degree (MD, PharmD, PhD, or MSc) with 5+ years in the life sciences or technology industries.
  • Deep knowledge of disease biology, translational biomarkers, and regulatory expectations for AIgenerated evidence.
  • Demonstrated experience implementing AI/ML concepts, dataengineering pipelines, and agile sprint management in a matrixed environment.
  • Proven ability to translate emerging technologies into compliant capabilities that improve enrolment, decision speed, and patient benefit.
  • Influential communicator able to distill complex analytics for nonexperts and secure funding for innovation.
  • Curiosity, pragmatism, and a relentless focus on delivering transformative medicines.

So, whats next?

Are you ready to bring new ideas and fresh thinking to the table? Brilliant! We have one seat available, and we hope its yours.

The annual base pay for this position ranges from $188,497 to $282,746.Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program (salaried roles),to receive a retirement contribution (hourly roles), and commission payment eligibility (sales roles). Benefits offered included a qualified retirement program [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans. Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an at-will position and the Company reserves the right to modify base pay(as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

Date Posted

22-May-2026

Closing Date

18-Jun-2026

About AstraZeneca

AstraZeneca is a British-Swedish multinational pharmaceutical company that specializes in the research, development, and manufacturing of prescription drugs. The company was formed in 1999 through the merger of Astra AB and Zeneca Group plc. AstraZeneca's products are used to treat a wide range of medical conditions, including cancer, cardiovascular disease, respiratory disease, and diabetes. The company has operations in over 100 countries and employs more than 76,000 people worldwide. AstraZeneca is committed to developing innovative medicines that improve the health and well-being of people around the world.
Learn more about AstraZeneca
Size
83,100 employees
Market Cap
$211.5 billion
Industry
Net Income
$3.1 billion
Founded
1999
5 Year Trend
+10.2%
Revenue
$26.6 billion
NASDAQ

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