Biostatistician

Medpace
Stirling
2 months ago
Applications closed

Due to continuous business growth, we are expanding our Biostatistics team, and looking for a full‑time Biostatistician to join our office‑based team in Central London or Stirling. This position will work in a team to accomplish tasks and projects that are instrumental to the company’s success.


This role is responsible for Biostatistics activities for clinical trial projects; to ensure that work is completed within the defined time frames and appropriate quality levels, and present the Biostatistics function at conferences, external non‑study meetings and bid defense meetings. If you want an exciting career where you can use your previous expertise and develop and grow your career even further, then this is the opportunity for you.


Responsibilities

  • Contribute to clinical development of plan preparation;
  • Review of study protocol and preparation of statistical methodologies;
  • Development of detailed Data Analysis Plan for assigned projects;
  • Programming of study analysis, review of study results and preparation of statistical methods section for clinical / statistical reports;
  • Communicate project requirements for CRF design, database design and database clean‑up to ensure the key study variables are suitable for analysis; and
  • Communicate statistical results to medical writing personnel to ensure accurate interpretation.

Qualifications

  • Ph.D. degree in Biostatistics / Statistics / Medical Statistics;
  • Experience in SAS Programming;
  • Knowledge of advanced statistical methods and knowledge of the pharmaceutical industry;
  • Knowledge of regulatory requirements/guidelines for drug development; and
  • Previous experience in a pharmaceutical or CRO preferred.

Medpace Overview

Medpace is a full‑service clinical contract research organisation (CRO). We provide Phase I‑IV clinical development services to the biotechnology, pharmaceutical and medical device industries. Our mission is to accelerate the global development of safe and effective medical therapeutics through its scientific and disciplined approach. We leverage local regulatory and therapeutic expertise across all major areas including oncology, cardiology, metabolic disease, endocrinology, central nervous system, anti‑viral and anti‑infective. Headquartered in Cincinnati, Ohio, employing more than 5,000 people across 40+ countries.


Why Medpace?

People. Purpose. Passion. Make a Difference Tomorrow. Join Us Today.


The work we’ve done over the past 30+ years has positively impacted the lives of countless patients and families who face hundreds of diseases across all key therapeutic areas. The work we do today will improve the lives of people living with illness and disease in the future.


Medpace Perks

  • Flexible work environment
  • Competitive compensation and benefits package
  • Competitive PTO packages
  • Structured career paths with opportunities for professional growth
  • Company-sponsored employee appreciation events
  • Employee health and wellness initiatives

Awards

  • Recognized by Forbes as one of America’s Most Successful Midsize Companies in 2021, 2022, 2023 and 2024
  • Continually recognized with CRO Leadership Awards from Life Science Leader magazine based on expertise, quality, capabilities, reliability, and compatibility

What to Expect Next

A Medpace team member will review your qualifications and, if interested, you will be contacted with details for next steps.


#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.

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.

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.

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.