At a Glance
- Tasks: Lead clinical data science activities and enhance trial data analysis.
- Company: Join ICON, a global leader in healthcare intelligence and clinical research.
- Benefits: Competitive salary, health coverage, retirement plans, and career development opportunities.
- Other info: Inclusive workplace with a focus on collaboration and professional growth.
- Why this job: Make a real impact in healthcare by optimising data for new treatments.
- Qualifications: 5+ years in data management with strong analytical and leadership skills.
The predicted salary is between 40500 - 49500 £ per year.
ICON is a global healthcare intelligence and clinical research organisation united by a mission to bring new medicines and treatments to patients faster. As a values-driven organisation, integrity, collaboration, agility, and inclusion are at the heart of how we work and interact with each other, customers, patients, and suppliers.
What You Will Do:
- You will manage day-to-day clinical data science activities, supporting your team to deliver quality outcomes.
Key Responsibilities:
- Leading the design and implementation of data science strategies to enhance clinical trial data analysis.
- Collaborating with cross-functional teams to identify key data requirements and analytical needs.
- Overseeing the development of statistical models and analytical tools to optimize data interpretation.
- Mentoring and guiding team members in best practices for data analysis and visualization.
- Communicating findings and insights to stakeholders through presentations and reports, influencing project direction.
Your Profile:
You will have solid clinical data science experience, with the ability to manage competing priorities and develop your team.
Required qualifications and experience:
- Bachelor's degree in life sciences, computer science, or a related discipline.
- Minimum of 5 years in Data Management role, including leading studies.
- Strong expertise in statistical software and data visualization techniques.
- Experience with Veeva/Rave EDC.
- Exceptional analytical and problem-solving skills, with a focus on translating data into actionable insights.
- Excellent communication and leadership skills, with the ability to foster collaboration across diverse teams.
- Experience in Oncology therapeutic area.
Employment with ICON is contingent upon having the legal right to work in the country where the role is based.
Rewards & Benefits:
ICON offers a competitive and comprehensive total rewards package designed to support your health, wellbeing, and career development. Benefits may include:
- Competitive base salary and performance-related incentives.
- Health and wellbeing programmes including medical, dental, and vision coverage where applicable.
- Retirement and pension plans.
- Life assurance and disability coverage.
- Employee assistance programmes and wellbeing resources.
- Learning and development opportunities through structured training and career pathways.
Inclusion and Accessibility:
ICON is an equal opportunity employer. We are committed to building an inclusive and accessible workplace where everyone feels valued and supported. If you require reasonable accommodations during the recruitment process, please let us know or submit a request here.
Clinical Data Science Lead employer: IRE
ICON is an exceptional employer that prioritises integrity, collaboration, and inclusion, making it a fantastic place for professionals in the healthcare intelligence and clinical research sector. As a Senior Clinical System Designer, you will benefit from a competitive salary, comprehensive health and wellbeing programmes, and ample opportunities for learning and career development, all within a supportive and innovative work culture. With a commitment to employee growth and a focus on driving meaningful change in clinical trials, ICON offers a rewarding environment for those looking to make a significant impact.
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We think this is how you could land Clinical Data Science Lead
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Clinical Data Science Lead
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at IRE, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at IRE. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at IRE
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
