{"id":2100940,"url":"https://alion.io/job/astrazeneca-senior-scientist-analytical-lead","title":"Senior Scientist – Analytical Lead","company":{"id":13195,"name":"AstraZeneca","domain":"astrazeneca.com","url":"https://alion.io/company/astra-zeneca","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":94,"open_postings":201,"ghost_share":0,"stale_share":0.423,"repost_share":0.05,"time_to_fill_p50_days":14,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Science & Research","role_family":"Science & Research","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Macclesfield, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":57000,"max_usd":116000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":31},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CAPA","optional":false},{"name":"Chromatography","optional":false},{"name":"HPLC","optional":false},{"name":"JMP","optional":false},{"name":"Mass Spectrometry","optional":false},{"name":"Minitab","optional":false},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-10-08T18:23:32Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-21T22:22:55Z","board_verified":true,"closed_at":null,"days_open":13,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":13},"description":"Introduction to role:\nAre you ready to lead analytical control strategies that accelerate medicines from lab to clinic and beyond? Based in Macclesfield, you will shape how we design, validate and deploy analytical methods that directly determine product robustness, speed to patients and regulatory success.\nYou will serve as the analytical lead for oral solid dosage and/or parenteral products across development phases, partnering closely with formulation, engineering, manufacturing, QA and Regulatory. Your decisions will set the control strategy, streamline clinical supply, and pave the way for commercial readiness. How will you leverage modern data analytics and predictive tools to shorten development cycles and raise confidence in every batch released?\nAccountabilities:\nAnalytical Leadership: Act as the analytical skill lead to secure major drug product deliveries, applying a risk-based, flexible approach to prioritisation and timelines, ensuring focus on the highest-value outcomes.\nControl Strategy Ownership: Define and lead an end-to-end analytical control strategy aligned with CMC guidelines across clinical phases, delivering robust, efficient controls that de-risk programmes and enable confident regulatory interactions.\nMethod Development and Lifecycle: Design, develop, validate and transfer analytical methods (HPLC/UPLC, LC-MS, dissolution, impurity profiling), establishing stability-indicating performance and ensuring reproducibility across internal sites and CMOs.\nProduct Characterisation and Stability: Lead drug product characterisation and stability programmes to inform formulation choices, specifications, shelf-life and critical quality attribute understanding, translating data into decisive action.\nRegulatory Authoring and Interaction: Author analytical CMC content for IND/IMPD/NDA/MAA, validation reports, method transfers and specifications; anticipate and respond to regulatory queries with clear, evidence-based narratives.\nCross-Functional Integration: Embed analytical deliverables into project plans with formulators, engineers, manufacturing and external partners; enable seamless tech transfer and scale-up with clear communication to governance bodies.\nInvestigation Excellence and Data Integrity: Lead investigations, root cause analyses and data integrity assessments; drive timely corrective and preventive actions and ensure GxP compliance with rigorous study design.\nDigital and Predictive Enablement: Apply modern data analytics, multivariate design and DoE to accelerate method development; champion the practical use of ELN/CDS and statistical tools to make data-driven decisions visible and reusable.\nProgression and Impact: Deliver immediate analytical milestones while shaping best practices, mentoring colleagues and contributing to continuous improvement that supports faster, more sustainable delivery of medicines.\nEssential Skills/Experience:\nMSc or PhD or equivalent experience in a relevant scientific subject area (Analytical Chemistry, Pharmaceutical Sciences, Biochemistry, Biotechnology or related).\nExperience in pharmaceutical analytical science with current knowledge of regulatory CMC requirements for clinical and/or marketing applications and experience authoring CMC analytical content and responding to regulatory queries.\nStrong proficiency with chromatographic techniques (HPLC/UPLC; LC-MS), dissolution, and complementary methodologies for small and/or large molecules.\nExcellent communication, stakeholder management and influencing skills; ability to operate confidently and collaboratively across global, cross skill environments.\nDemonstrated ability to troubleshoot technical challenges and drive data driven decisions.\nFundamental digital and data capability relevant to analytical development, including: proficiency with multivariate experimental design and basic DoE concepts for method and process understanding.\nWorking knowledge of statistics for analytical science and practical use of common data and workflow tools (e.g., ELN/CDS, and statistical software such as JMP or Minitab) for data analysis and reporting.\nDesirable Skills/Experience:\nExperience applying advanced predictive analytics beyond foundational skills (e.g., Bayesian optimisation for robustness tuning, chemometrics for pattern recognition, mechanistic/hybrid models for dissolution or degradation kinetics, advanced statistical methods for specification setting and uncertainty quantification).\nPractical experience with basic scripting in Python/R for data wrangling, visualisation, and deployment of predictive models in an analytical context.\nWhy AstraZeneca:\nHere, science meets focused execution in a collaborative environment where unexpected teams come together to unlock bold thinking. You will work hands-on with cutting-edge analytical technologies and digital tools, translating complex pipelines into reliable medicines for larger patient populations. We value kindness alongside ambition, giving you the support to lead while you learn, and the freedom to take ownership of outcomes. Our in-person culture brings pace and clarity to complex decisions; we typically work predominately on site while balancing individual flexibility. Your contribution also extends to our sustainability ambition, with tangible opportunities to help reduce our environmental footprint as we advance toward zero carbon operations and a carbon negative value chain-linking your daily decisions in the lab to a healthier future for patients, communities and the planet.\nCall to Action:\nOwn the analytical strategy that speeds life-changing medicines to patients while building a legacy in science and sustainability-submit your application and make your impact felt from day one.\nDate Posted\n08-out.-2026Closing Date\nOur mission is to build an inclusive and equitable environment. We want people to 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. 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