10,000+ employees
Founded 1990
đŒ Consulting
đ„ Healthcare
đŠ Logistics
Consulting âą Healthcare âą Logistics
ICON plc is a global provider of clinical, consulting, and commercial services across various sectors in the healthcare and pharmaceutical industries. They offer a wide range of clinical solutions, including decentralised clinical trials, cardiac safety solutions, early clinical laboratories, and medical imaging. ICON also provides technology solutions that support drug development from early phases to post-marketing. Their therapeutic expertise spans cardiovascular, oncology, internal medicine, and more, with a strong focus on transformative therapies like cell and gene therapies and biosimilars. ICON is recognized as a leading Contract Research Organisation (CRO), regularly providing thought leadership and contributing to industry publications and events. Their services are tailored to optimize clinical trials, offer regulatory intelligence, and deliver real-world evidence through robust data analysis and patient-centric solutions.
đ September 16
đ United Kingdom, Ireland, +1 more countries â Remote
â° Full Time
đĄ Mid-level
đ Senior
đ Data Scientist
đ» Ghost score 23%
Where this job comes from
Posted on ICON plc's careers page, not through a job board
First seen by Remote Rocketship September 16
Still open on ICON plc's site. Checked 5 hours ago.
10,000+ employees
Founded 1990
đŒ Consulting
đ„ Healthcare
đŠ Logistics
Consulting âą Healthcare âą Logistics
ICON plc is a global provider of clinical, consulting, and commercial services across various sectors in the healthcare and pharmaceutical industries. They offer a wide range of clinical solutions, including decentralised clinical trials, cardiac safety solutions, early clinical laboratories, and medical imaging. ICON also provides technology solutions that support drug development from early phases to post-marketing. Their therapeutic expertise spans cardiovascular, oncology, internal medicine, and more, with a strong focus on transformative therapies like cell and gene therapies and biosimilars. ICON is recognized as a leading Contract Research Organisation (CRO), regularly providing thought leadership and contributing to industry publications and events. Their services are tailored to optimize clinical trials, offer regulatory intelligence, and deliver real-world evidence through robust data analysis and patient-centric solutions.
âą Contribute to the development of the strategy for Analytics, Reporting and Metrics building in line with the overall Business Information Services strategy âą Leverage visualization tools and business intelligence platforms âą Coordinate with different functional teams to implement models and monitor outcomes âą Develop processes and tools to monitor and analyze model performance and data accuracy âą Use Spotfire for analysis and review âą Develop custom data models and algorithms for data sets âą Provide specialist support for development, interpretation, and application of machine learning models âą Apply analytical and statistical methods to solve use cases using various data sources and analytical tools âą Work with stakeholders to identify opportunities for using company data to drive business solutions âą Liaise with, advise, and negotiate with customer groups on data modelling requirements and propose innovative solutions âą Develop and implement capabilities to make routine requests more structured and efficient âą Contribute to initiatives enabling faster and more effective data modelling, analysis, and provisioning âą Ensure systems, code, and documentation are inspection ready
âą 3+ years of experience manipulating data sets and building statistical models âą Bachelor degree in Computer Science or related field âą Experience using Python and SQL to manipulate data and draw insights from large data sets; R considered âą Experience with cloud and data platforms such as Microsoft Azure, AWS, Snowflake, Databricks, or similar technologies would be advantageous âą Experience of clinical data and domains, including Clinical Trials or the wider Pharmaceutical industry, preferable but not necessary âą Knowledge of machine learning techniques including clustering, decision tree learning, and artificial neural networks âą Knowledge of advanced statistical techniques and concepts including regression, properties of distributions, and statistical tests âą Excellent written and verbal communication skills for coordinating across teams âą A drive to learn and master new technologies and techniques âą Legal right to work in the country where the role is based
âą Competitive base salary and performance related incentives âą Health and wellbeing programmes including medical, dental, and vision coverage where applicable âą Retirement and pension plans âą Life assurance and disability coverage âą Employee assistance programmes and wellbeing resources âą Learning and development opportunities through structured training and career pathways
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