Senior Biostatistician II

ICON
Swansea
1 week ago
Applications closed

Related Jobs

View all jobs

Senior / Principal Biostatistician

Senior Scientist, Pharmacoepidemiology & Safety

Senior Scientist, Pharmacoepidemiology & Safety

Senior Scientist, Pharmacoepidemiology & Safety

Senior Scientist, Pharmacoepidemiology & Safety

Biostatistics Leader - Immunology

Senior Biostatistician II

ICON plc is a world-leading healthcare intelligence and clinical research organization. We’re proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development.

We are currently seeking a Senior Biostatistician II to join our diverse and dynamic team. As a Senior Biostatistician II at ICON, you will play a pivotal role in leading the design, analysis, and interpretation of statistical data for clinical trials. You will contribute to the advancement of clinical research through expert statistical oversight, ensuring the accuracy and reliability of data analysis and reporting across a range of studies.

What You Will Be Doing:

  • Designing and implementing statistical analyses for clinical trials, including the development of statistical analysis plans and interpretation of results.
  • Collaborating with cross-functional teams to define study objectives, data requirements, and statistical methodologies.
  • Providing expert statistical guidance and support for the development of clinical trial protocols and data analysis strategies.
  • Ensuring compliance with regulatory standards and industry best practices in statistical analysis and reporting.
  • Mentoring and supporting junior statisticians, fostering a collaborative and innovative environment within the biostatistics team.

Your Profile:

  • Advanced degree in Biostatistics, Statistics, or a related field.
  • Significant experience in biostatistics within the clinical research industry, with a strong track record in designing and analyzing clinical trial data.
  • Proficiency in statistical software and programming languages such as SAS, R, or Python.
  • Strong analytical skills with a thorough understanding of clinical trial methodology and regulatory requirements.
  • Excellent communication, interpersonal, and organizational skills, with the ability to work effectively with cross-functional teams and stakeholders.

What ICON can offer you:
Our success depends on the quality of our people. That’s why we’ve made it a priority to build a diverse culture that rewards high performance and nurtures talent.

In addition to your competitive salary, ICON offers a range of additional benefits. Our benefits are designed to be competitive within each country and are focused on well-being and work life balance opportunities for you and your family.

Our benefits examples include:

  • Various annual leave entitlements
  • A range of health insurance offerings to suit you and your family’s needs.
  • Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead.
  • Global Employee Assistance Programme, LifeWorks, offering 24-hour access to a global network of over 80,000 independent specialized professionals who are there to support you and your family’s well-being.
  • Life assurance
  • Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidized travel passes, health assessments, among others.

#J-18808-Ljbffr

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.

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.