Senior Biostatistician

AL Solutions
Manchester
3 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Scientist

Senior Data Engineer

Senior Data Scientist

AL Solutions are working in partnership with a fast emerging Canadian CRO that have recently began the next phase of their global expansion having recently opened a new affiliate in the UK as part of their long-ter m European growth project.

We are currently looking for a Senior Biostatistician to join them on this journey be one of the first employees within the European team. With their strong commitment to growing this UK team and further expansion into Eastern Europe, my client have excellent progression and development paths in place which has enabled them to achieve a staff retention rate of 94% in recent years.

Responsibilities :

  • Manage assigned projects from planning through delivery, building strong client relationships
  • Provide statistical input for study design, analysis, and reporting.
  • Write protocol statistics sections, calculate sample sizes, and prepare randomization plans and codes.
  • Develop Statistical Analysis Plans (SAPs) and respond to peer review feedback.
  • Maintain QC / QA documentation and support development of new statistical methods and processes.
  • Develop and / or review ADaM dataset specifications. Review and provide input to SDTM dataset specifications when required.
  • Conduct statistical analyses according to the SAP and address review comments
  • Prepare statistical content for CSRs, publications, abstracts, and presentations.
  • Review data management plans and validation specs

Required Experience / Skills :

  • Degree in Statistics or related fields
  • Strong experience working as a biostatistician within clinical trials
  • Previous experience independently leading studies
  • Proficient with SAS
  • Good working knowledge with CDISC, ADaM and SDTM

For more details, please contact Jack Kavanagh at AL Solutions or submit your application.

Jack Kavanagh

AL Solutions


#J-18808-Ljbffr

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.

Jobs

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

Jobs

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.