Do you have a passion for influencing global strategies with deep insights extracted from a strategic understanding of the competitive environment? AstraZeneca invites you to join a leading force in biopharmaceutical innovation, where your ideas will contribute to life-changing medicines.
About AstraZeneca
AstraZeneca is at the forefront of the pharmaceutical industry, driven by one imperative: to transform ideas into life-changing medicines. Our commitment to "following the science" is not just a slogan but a comprehensive strategy that propels us toward breakthroughs in therapy and patient care. We boast a diverse and potent pipeline designed to tackle some of the world’s most pressing health challenges through innovative new assets and modalities that redefine treatment paradigms.
Beyond traditional therapeutics, AstraZeneca is passionately investing in the advancements of data and AI to reshape both the scientific landscape and our operational methodologies. These pioneering technologies allow us to develop smarter, faster approaches to drug discovery and development—enhancing our ability to make informed decisions and accelerate delivery of high-quality medicines.
By joining AstraZeneca, you will be part of a collaborative, purpose-driven team that values curiosity and creativity, encouraging ground breaking work that significantly impacts science and medicine globally.
The Director, Biopharma Data Science and AI will be instrumental in mapping and managing a strategic path for AZ to understand the world of Biopharma innovation through the latest data science techniques and approaches.
We strive to create a dynamic, digital representation of the landscape of innovation, including information about drug and target discovery, diagnostic technologies, digital tools, algorithmic products, and beyond.
Your role will be to work with cross-functional partners to create a data solution that reveals and monitors this innovation landscape, while also generating hypotheses and insights for how AZ can engage strategically with the external community of Biopharma innovators. You will work closely with a team of data scientists and data engineers within AZ’s broader Data Science organization to deliver a product encompassing a fit-for-purpose platform, suite of algorithms, and data assets. Beyond the delivery of this product, you will play a key leadership role alongside other Strategy Team members to identify business needs that can be solved through data science and deliver insights on the evolving innovation strategy.
What You Will Do
Partnering with strategy leads and internal stakeholders to identify and prioritize key business problems,
Creating and managing a sustainable data science roadmap and related action plans, continuously leveraging the most advanced AI capabilities
Lead the development and implementation of related products that maps and dynamically analyzes the landscape of innovation to generate useful insights for key stakeholders
Develop Biopharma CI capacity to automate scientific data collection, curation, and dissemination for a lean and cost-effective insight generation
Develop effective relationships with business and clinical units to track and ensure utilization and value of the information resources developed by the data science team in multiple projects.
Communicate insights generated from data analysis
Work closely with data scientists and engineers to develop all aspects of the sustainable data science product, including data assets/pipelines, AI/ML algorithms, platform, maintenance, etc.
Collaborate across the AstraZeneca Data and AI community to develop best practices and cross functional opportunities that drive value
Communicate effectively and with demonstrable expertise across a range of data science techniques and approaches such as classification, regression, clustering, NLP, image analysis, knowledge graphs and new technologies.
Closely monitor the landscape of Data and AI solutions to maximize collection and use of competitive intelligence data and insights.
Identification of data sources to solve business problems and generate internal data assets where applicable
Oversee the research, development, and validation of predictive models and computational methods to guide and influence relevant decision-making outcomes
Oversight of partnerships with multiple third parties, academic or outsourced partners to shape and drive project outcomes and knowledge building across the organization
Share knowledge with others on the team; continue to adapt or develop new methods and learn new software packages as available in the literature and recent publications.
Who You Are
MS or MBA degree with at least 5 years of experience in an analytical role, OR
Bachelor’s degree and minimum of 7 years related experience.
Advanced quantitative degree (Computational biology, Informatics, Business analytics, Statistics, Operations Research, Computer Science or related field) preferred.
Strong data science or advanced analytics reputation with ability to manage complex problems requiring advanced quantitative solutions
A strong background of building successful internal/external partnership and collaborative relationships, demonstrating cultural sensitivity and awareness.
Demonstrated ability to lead and influence experienced professionals.
Ability to think critically, creatively and to anticipate and solve problems.
Ability to navigate and be successful in a fast-paced, highly matrixed work environment.
Why AstraZeneca
At AstraZeneca when we see an opportunity for change, we seize it and make it happen, because any opportunity no matter how small, can be the start of something big. Delivering life-changing medicines is about being entrepreneurial - finding those moments and recognizing their potential.
Join us on our journey of building a new kind of organization to reset expectations of what a bio-pharmaceutical company can be. This means we’re opening new ways to work, pioneering cutting edge methods and bringing unexpected teams together. Interested? Come and join our journey.
