ICON plc Logo

ICON plc

Clinical Data Science Lead

Posted 2 Hours Ago
Be an Early Applicant
Remote
Hiring Remotely in United States of America
Entry level
Remote
Hiring Remotely in United States of America
Entry level
Lead clinical data science initiatives supporting clinical trial analysis and strategic decision-making. Responsibilities include designing data science strategies, identifying analytical requirements, overseeing statistical models and tools, mentoring team members, and communicating insights to stakeholders. The role requires clinical research data analysis experience, statistical software expertise, data visualization skills, leadership, collaboration, and approximately 15% travel.
The summary above was generated by AI
Sr Clinical Data Manager

At ICON Strategic Solutions, you will work in a sponsor-dedicated model, supported by ICON’s global expertise.


As the world’s largest FSP organisation, with over 90 sponsor partnerships, we offer stability, career development and a collaborative environment where your work contributes to the development of treatments that benefit patients worldwide.


As a Clinical Data Science Lead at ICON, you will drive data science initiatives within clinical trials, ensuring that our analyses provide meaningful insights that inform strategic decisions.


What You Will Do:

You will manage day-to-day clinical data science activities, supporting your team to deliver quality outcomes.
Key responsibilities include:

  • 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
  • Extensive experience in data analysis and project leadership within a clinical research setting.
  • Strong expertise in statistical software and data visualization techniques.
  • 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.
  • Willingness to travel as required (approximately 15%)

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

Benefits may vary depending on role and location.


Visit our careers site to read more about the benefits ICON offers.


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.


Are you a current ICON Employee? Please click here to apply

Similar Jobs

One Month Ago
In-Office or Remote
4 Locations
144K-288K Annually
Expert/Leader
144K-288K Annually
Expert/Leader
Fitness • Healthtech • Retail • Pharmaceutical
Lead technical strategy and execution for production clinical AI across a portfolio: set AI direction, ensure regulatory and governance alignment, partner with product and engineering, improve model evaluation/monitoring and production reliability/cost/latency, promote reusable model patterns, and hire/coach data science leaders to scale clinical AI capabilities.
Top Skills: Deep LearningEmrGenerative AiLarge Language ModelsMachine LearningNatural Language ProcessingPythonSQL
5 Minutes Ago
Remote
United States
Entry level
Entry level
Software • Hospitality
Conducts interior and exterior hotel security patrols, identifies safety risks, investigates incidents, prepares accurate security reports, responds to emergencies, and assists guests professionally with safety and security concerns.
29 Minutes Ago
Remote
Georgia, USA
Entry level
Entry level
Software • Hospitality
Provides friendly food and beverage service in a hotel setting. Takes guest orders, enters them into the point-of-sale system, delivers food and drinks, explains menu items and promotions, maintains a stocked and organized service station, and follows health, safety, sanitation, and alcohol-awareness regulations.
Top Skills: Point-Of-Sale System

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account