Senior Data Scientist
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
As a Data Scientist, you will be dedicated to one of our global pharmaceutical clients, a company that values performance, recognizes merit and has a high focus on quality. This environment encourages innovation, individuality and embraces people that want to be a part of it.
The Data Scientist is responsible for contributing to the development of the strategy for Analytics, Reporting and Metrics building in line with overall Business Information Services strategy leveraging visualization tools/business intelligence platforms
What you will be doing:
- Coordinate with different functional teams to implement models and monitor outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Leveraging business intelligence tools i.e Spotfire for analysis and review.
- Develop custom data models and algorithms to apply to data sets.
- Providing specialist support for development, interpretation and application of machine learning models
- Applying analytical and statistical methods to solve identified use cases in an agile manner using various data sources and analytical tools
- Work with key stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Liaising, advising and negotiating with key customer groups on requirements and proposing innovative solutions to meet their data modelling requirements
- Responsible for the development and implementation of capabilities to make provisioning of routine requests more routine, structured and efficient
- Contributing to initiatives that enable faster and more effective data modelling/analysis and provisioning
- Ensuring systems and code, documentation are inspection ready
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, TELUS Health, offering 24-hour access to a global network of over 80,000 independent specialised 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, subsidised travel passes, health assessments, among others.
Visit our careers site to read more about the benefits ICON offers.
You are:
- We’re looking for someone with 3-5 years of experience manipulating data sets and building statistical models, has a Master’s or PHD in Statistics, Mathematics, Computer Science.
- Experience using statistical computer languages Python & SQL (R Considered) to manipulate data and draw insights from large data sets.
- Experience working with and creating data architectures.
- Experience of clinical data and domains (Experience working within Clinical Trials or the wider Pharmaceutical industry) preferable but not necessary
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
- Excellent written and verbal communication skills for coordinating across teams.
- A drive to learn and master new technologies and techniques.
