Your career compass awaits
Create a free account to unlock
- ✓ See how you match this role
- ✓ AI resume tailored to this specific job
- ✓ Inside Track Companion — find your insider contact
- ✓ Skills gap analysis and upskill plan
- ✓ Interview prep kit for this role
- ✓ Relocation concierge — salary, tax, cost of living
Free — no credit card required
Director, BioPharma R&D Strategy Analyst
✓ This company has sponsored visas before. The posting doesn't say so, but it's still worth applying.
Consulting Strategy
💰 Salary Not shared
📊 Market 8,333 GBP–12,500 GBP/mo (99,996 GBP–150,000 GBP/yr)
About the Company
o feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.
About the Role
-term views of disease area evolution remain current as assets progress. About AstraZeneca AstraZeneca is a global, science-led biopharmaceutical company and our innovative medicines are used by millions of patients worldwide. This is the place to make an impact. Here we ensure everyone can reach their full potential, perform at their best and make a valued contribution to the enterprise. Within Biopharmaceuticals R&D, we are empowered to be bold, take calculated risks and use our intelligence and courage to always follow the science. Biopharmaceuticals Strategy, Business Development & Alliances, Competitive Intelligence Team Our team is being built to sit at the center of Biopharmaceuticals R&D - driving our R&D strategy and addressing the unmet needs and future focus of AstraZeneca's Biopharmaceuticals pipeline. We operate both internally and externally, leading collaboration and acquisition opportunities as well as partnering closely with external alliances.
Responsibilities
- ● BioPharma R&D Strategy Analyst (Core Accountability)
- ● Create high level long-term projections for R&I or CVRM disease areas using patient-based and market-based models to inform early portfolio prioritisation, target profile choices, and modality selection for pre-commercial assets and disease areas
- ● Support R&D decision making when selecting or prioritizing new targets, modalities, indications, therapy areas, asset opportunities, external innovation, and partnering options
- ● Integrate primary research, epidemiology, competitive intelligence, translational and clinical insights, external landscape signals, scientific milestones, access dynamics, and real-world data into projection models
- ● Proactively identify and quantify key risks and opportunities through scenario and sensitivity analyses, competitor readouts, and deal-related value assumptions
- ● Partner closely with R&D strategy, project teams, business development and alliances, finance, and competitive intelligence to ensure alignment on assumptions and implications, and connect with Commercial forecasting teams.
- ● Strategic analytics, innovation and capability leadership (Enablement)
- ● Provide leadership over forecasting-adjacent analytics, ensuring advanced analytics and insights are embedded into R&D strategy, portfolio reviews, and evidence planning
- ● Manage and prioritise external vendors supporting projections, analytics, competitive intelligence, and landscape assessment deliverables
- ● Partner with data analytics resources, Global IA&F, and R&D, BD&L and CI capability teams to ensure alignment with new tools, data sources, and modelling approaches
- ● Champion and identify new ways to embed AI and advanced automation into the practice of data analytics and projections to drive efficiency, scalability, and decision quality while maintaining strong judgement.
- ● Build future-ready approaches that combine internal data, external signals, and expert judgement to assess novel science, emerging competitors, partnership opportunities, and potential inflection points across the portfolio
Requirements
- ● Bachelor's degree in a quantitative, scientific, or business-related field required (e.g., Statistics, Economics, Mathematics, Engineering, Computer/Data Science).
- ● strong experience in consultancy, investment banking, analytics, portfolio strategy, competitive intelligence, business development evaluation, or related decision-support roles, with meaningful exposure to early- and mid-stage R&D assets
- ● Hands-on model ownership experience or equivalent analytical leadership across short- and long-term horizons
- ● Expertise in scenario-based forecasting, sensitivity analysis, and driver-based narratives to support senior decision-making
- ● Strong capability integrating multiple data types (e.g., epidemiology, competitive intelligence, translational/clinical insights, external innovation signals, RWD/RWE, primary research) into coherent, decision-grade forecasts
- ● Working knowledge of advanced analytics/ML approaches (e.g., time series, causal inference, ensembles) and where they add value vs. traditional methods
- ● Demonstrated forecast governance and model risk discipline (traceable assumptions, documentation, and clear explanations)
- ● Strong understanding of drug development, disease area strategy, competitor dynamics, and key value drivers relevant to early-stage asset decision-making
- ● Exceptional communication: translates complex analysis into clear, executive-ready insights, options, and recommendations
- ● Ability to operate credibly across scientific, strategic, and external-facing discussions, including partnerships, alliances, and cross-functional governance forums
- ● Comfort using AI-enabled tools and digital workflows to accelerate insight generation, while applying appropriate challenge, ethics, and judgement
- ● Advanced degree preferred (e.g., MBA, MS, PhD in Statistics, Economics, Decision Sciences, Data Science, or related discipline).
- ● Change leadership: builds adoption for new tools, processes, and ways of working across cross-functional stakeholders
- ● Product mindset for forecasting: defines user needs, success metrics, and a roadmap for portfolio forecasting capabilities
- ● Model lifecycle practices (e.g., reproducibility, versioning, monitoring/drift awareness); familiarity with MLOps concepts
- ● Familiarity with multi-omics, biomarkers, translational medicine, or platform innovations that shape the future potential of early-stage assets
- ● Why AstraZeneca
- ● At AstraZeneca, we 're dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There's no better place to make a difference to medicine, patients and society. An inclusive culture that champions diversity and collaboration, and always committed to lifelong learning, growth and development. We're on an exciting journey to pioneer the future of healthcare.
- ● So, what's next
- ● Are you ready to bring new ideas and fresh thinking to the table Brilliant We have one seat available, and we hope it's yours. We look forward to your application not later than 11th October 2026
Confirm Application
Are you applying to ?
We'll track this in your dashboard as Applied.
Saving to your tracker…
Stand out: message someone at AstraZeneca.
A short, personal note to a recruiter can get your application looked at sooner.
⚡ Full Resume Sandbox Canvas