Statistical Scientist

Astellas Pharma Inc.
6 months ago
Applications closed

Related Jobs

View all jobs

Computational Biology & Machine Learning Scientist

Computational Biology & Machine Learning Scientist

Computational Biology & Machine Learning Scientist

Computational Biology & Machine Learning Scientist

Computational Biology & Machine Learning Scientist

Data Scientist

DescriptionStatistical Scientist
About 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: You will be joining a newly created department and will work alongside a well-established team of Statistical & Real-World Data Science (SRS) members who designs Astellas’ development programs to allow data-driven decision-making. Using state-of-the-art methodology and the most innovative approach, SRS generates compelling evidence using clinical trials or real-world data (RWD) to ensure successful and timely regulatory approval, pricing, reimbursement, and patient access. As a member of the extended statistical team, the primary purpose of the Manager is to contribute to the design, analysis, and reporting of clinical trials/observational studies under the supervision of a more senior Statistician. Key activities:

Performs statistical analyses in accordance with protocol, SAP, good statistical practice, and available regulatory guidelines. Reviews all outputs for validity and completeness. QC inferential statistical analyses. Monitors timelines and progress, leads and organizes review meetings, such as TLF review meetings, and classification meetings. Contributes to clinical study reports, other reports or publications by providing statistical interpretation of the results.

Essential Knowledge & Experience: The right person for this role will must be experienced in Statistics or Biostatistics in a pharmaceutical, CRO or related healthcare industry. Experience in applying statistical methods in the biomedical research, pharmaceuticals, CRO, academia or healthcare industry. Hands-on programming experience within SAS, including data manipulation and analysis of a wide array of data sources/types. Working knowledge of R and/or Python is preferred. Understanding of the DS lifecycle and process flow (e.g., ETL, data quality, statistical data analysis, machine learning, data randomization process, etc.) Excellent communication and interpersonal skills. Ability to identify and implement new ideas and methodologies, learn new techniques, and adjust to new approaches quickly. Ability to work independently to achieve results with a high degree of accuracy and attention to detail. Education: Educated to minimum Master’s level or equivalent in Biostatistics, Statistics, or related scientific field. Additional information: The is a permanent full-time position based in the UK. We offer a hybrid working pattern, requiring one day per quarter in the office (Addlestone), blended with a collaborative video environment that supports working from home. 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.

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Contract vs Permanent AI Jobs: Which Pays Better in 2025?

n the ever-evolving world of technology, the competition for top talent in artificial intelligence (AI) is intense—and the rewards are significant. By 2025, AI roles in machine learning, natural language processing, data science, and robotics are expected to be among the highest-paid professions within the UK technology sector. As an AI professional, deciding between contracting (either as a day‑rate contractor or via fixed-term contracts) and permanent employment could drastically impact your take‑home pay, job security, and career trajectory. In this article, we will delve into the various types of AI roles in 2025—particularly focusing on day‑rate contracting, fixed-term contract (FTC) roles, and permanent positions. We will compare the earning potential across these three employment types, discuss the key pros and cons, and provide practical examples of how your annual take‑home pay might differ under each scenario. Whether you are already working in AI or looking to break into this booming field, understanding these employment options will help you make an informed decision on your next move.

AI Jobs for Non‑Technical Professionals: Where Do You Fit In?

Your Seat at the AI Table Artificial Intelligence (AI) has left the lab and entered boardrooms, high‑street banks, hospitals and marketing agencies across the United Kingdom. Yet a stubborn myth lingers: “AI careers are only for coders and PhDs.” If you can’t write TensorFlow, surely you have no place in the conversation—right? Wrong. According to PwC’s UK AI Jobs Barometer 2024, vacancies mentioning AI rose 61 % year‑on‑year, but only 35 % of those adverts required advanced programming skills (pwc.co.uk). The Department for Culture, Media & Sport (DCMS) likewise reports that Britain’s fastest‑growing AI employers are “actively recruiting non‑technical talent to scale responsibly” (gov.uk). Put simply, the nation needs communicators, strategists, ethicists, marketers and project leaders every bit as urgently as it needs machine‑learning engineers. This 2,500‑word guide shows where you fit in—and how to land an AI role without touching a line of Python.

ElevenLabs AI Jobs in 2025: Your Complete UK Guide to Crafting Human‑Level Voice Technology

"Make any voice sound infinitely human." That tagline catapulted ElevenLabs from hack‑day prototype to unicorn‑status voice‑AI platform in under three years. The London‑ and New York‑based start‑up’s text‑to‑speech, dubbing and voice‑cloning APIs now serve publishers, film studios, ed‑tech giants and accessibility apps across 45 languages. After an $80 m Series B round in January 2024—which pushed valuation above $1 bn—ElevenLabs is scaling fast, doubling revenue every quarter and hiring aggressively. If you’re an ML engineer who dreams in spectrograms, an audio‑DSP wizard or a product storyteller who can translate jargon into creative workflows, this guide explains how to land an ElevenLabs AI job in 2025.