Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Associate Director, Biostatistics

Cytel
1 year ago
Applications closed

Related Jobs

View all jobs

Associate Director, AI Data Scientist

Associate Director, AI Data Scientist

Associate Director, AI Data Scientist

Associate Director, AI Data Scientist

Associate Director, AI Data Scientist

Associate Director Data Science

At Cytel, we work hard to create successful careers with significant professional growth for our employees, as a result of which they work hard to make Cytel successful. Cytel is a place where talent, experience and integrity come together to advance the state of clinical development. 

TheAssociate Director, of Biostatistics, is responsible for supervising a team of biostatisticians and ensuring that their staff's project deliverables are successful, timely, and of high quality; may be responsible for staffing client projects with appropriately trained professionals retaining and developing these professionals within the organization. The Associate Director of biostatistics, may be responsible for promoting new business through participation in project proposals and client presentations. The Associate Director of biostatistics, is responsible for providing expertise and guidance to project teams, also related to project management and project financials, and may also act as the primary point of contact for clients in strategic partnerships.

Responsibilities:

Provide statistical expertise for DMC work. Direct activities across multiple project teams.

Skills:

Advanced knowledge of statistical methodology and analytic techniques. Conversant in SAS and/or R programming and associated processes. Conversant in FDA and ICH regulations and industry applicable standards. Conversant with aspects of the pharmaceutical industry including understanding of clinical drug development process and associated documents. Excellent oral and written communication skills. Ability to handle large volumes of complex tasks. Strong personal effectiveness and interaction skills. Highly motivated by team environment. Ability to lead multi-project teams.

Qualifications:

PhD / MS in Biostatistics, Statistics, or related discipline. A minimum of 8 years of relevant technical and leadership experience in a biometrics role, with experience in a managerial role. Prior DMC independent statistician experience required.

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.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.