National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Head, Clinical Data Enablement, Data Aggregation

Astellas Pharma Inc.
5 months ago
Applications closed

Related Jobs

View all jobs

Head of Clinical Data Science and Data Engineering

Research Assistant: Data Science in Psychiatry/Genomics

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist...

Product Owner

DescriptionHead, Clinical Data Enablement, Data AggregationAbout Astellas: At Astellas we can offer an inspiring place to work and a chance to make your mark in doing good for others. Our expertise, science and technology make us a pharma company. Our open and progressive culture is what makes us Astellas. It’s a culture of doing good for others and contributing to a sustainable society. Delivering meaningful differences for patients is our driving force. We all have a significant opportunity to make that difference, working locally in the areas we know best, whilst drawing inspiration from the different insights and expertise we have access to globally and from our innovative, external partners. Our global vision for Patient Centricity is to support the development of innovative health solutions through a deep understanding of the patient experience. At Astellas, Patient Centricity isn’t a buzzword - it’s a guiding principle for action. We believe all staff have a role to play in creating a patient-centric culture and integrating an awareness of the patient into our everyday working practices, regardless of our role, team or division. Our ethos is underpinned by the Astellas Way, comprising five core values: patient focus; ownership; results; openness and integrity. We are proud to offer an inclusive and respectful working environment that fosters collaboration and ownership. Our aspiration is to bring the best brains together, to provide them with world-leading tools and resources and a unique structure that fosters real agility and entrepreneurial spirit. The Opportunity: As the Clinical Data Enablement (CDE) Head of Data Aggregation, you will lead a globally distributed team focused on establishing the data flow from source vendors to Astellas for Phase I-IV clinical trials executed by Astellas. This includes transforming data for data review and cleaning purposes while also ensuring that these data can be shared with internal Astellas consumers following an established data flow. Data review and data cleaning are outside the scope of this role. As a Head of Data Aggregation, you will play a key role in ensuring that the clinical results data collected in Astellas clinical trials are available for data cleaning and review which is a precursor to submitting data to regulatory bodies and/or responding to regulatory questions. Key Responsibilities:

Acting as the primary contact and subject matter expert for the Data Aggregation team responsible for resource planning, workload assignment (allocation and prioritization), issue resolution, and related escalations to the Data Science Lead Team (DS LT). Defining and leveraging metrics to enable a culture of continuous learning and improvement to optimize the clinical data flow and the availability of clinical results data for decision-making. Shares these metrics and related innovations with the DS LT and drives strategic initiatives in this area. Leading engagement with vendors providing source data (i.e. vendors providing lab results, ECGs, biomarkers, etc) and/or internal functions such as clinical operations or early development to ensure that related specifications, mechanisms for data transfers and data transfer schedules are established and executed appropriately. Contributing to related technical and/or process improvement initiatives associated with the clinical results data flow and efforts within the department and across Astellas broadly. Ensuring cross-functional collaboration with areas performing data management, clinical operations, etc. to address any issues with the delivery or stability of the clinical data flow as appropriate.

Essential Knowledge & Experience: Extensive experience in pharma or the CRO industry working on global clinical studies and projects or global process and system initiatives. Effective communication and ability to build strong relationships with vendors and internal stakeholders, lead negotiations to achieve the best outcomes for Astellas for service or data delivery support and issue resolution. Significant experience working on systems and processes that include an end-to-end data flow and the transformation of data in support of data review and/or data cleaning. Demonstrable leadership and collaboration across geographies and cultures. Solid understanding of all phases of clinical development. Preferred Experience: Prior experience with people management responsibilities. Experience using at least one programming language (i.e. R, Python, SAS, SQL, etc). Demonstrated ability and experience in leading global process or system improvement projects. Knowledge of data standards in industry (CDISC, CDASH). Education/Qualifications: BS or MS degree, preferably in Computer Science, Informatics/Data Science, or life science discipline or equivalent. Additional Information: This is a permanent, full-time position. This position is based in the UK or the Republic of Ireland. This position is 100% home/remote based. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.