Hiring.Camp

Senior Lead Clinical Data Science Programmer

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·

Today

Location
UK, Swansea, United Kingdom · Ireland, Dublin · South Africa, Johannesburg
Workplace
Onsite
Type
Full-time
Department
IT
Seniority
Senior
Education
Bachelor
Visa
Not sponsored
Source
Workday

Description

Senior Lead Clinical Data Science Programmer- Clinical Systems

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.


We are seeking a Senior Clinical Data Science Programmer to join our Clinical Systems team. In this role, you will serve as a senior technical expert responsible for the design, development and delivery of clinical data solutions that support global clinical trials. Working across study teams, customers and technology partners, you will lead complex programming and system development activities, translating study requirements into high-quality, compliant and scalable clinical data solutions.

 

This is an exciting opportunity to work at the intersection of clinical systems, programming and study delivery, supporting the implementation of clinical databases, data review solutions, integrations, analytics and reporting tools that drive decision-making across the clinical trial lifecycle.


What You Will Be Doing:


  • Design, configure and maintain clinical data systems and study databases.
  • Develop programming solutions supporting data ingestion, validation, extraction and reporting activities.
  • Create data review, risk management and analytical outputs that support study oversight.
  • Translate business requirements into scalable clinical system solutions.
  • Act as a technical lead across study builds and complex system enhancements.
  • Support customer engagements and provide subject matter expertise on clinical data technologies.
  • Ensure high-quality delivery through adherence to SDLC, validation and quality control processes.
  • Mentor junior programmers and contribute to continuous improvement initiatives.

You Will have/be:


  • Bachelor's degree in Computer Science, Data Science, Life Sciences or a related discipline.
  • Significant experience within Clinical Data Science, Clinical Systems or Clinical Programming.
  • Strong experience working with clinical databases, data integration, analytics or data review platforms.
  • Experience using programming languages such as R, Python, SQL or equivalent technologies.
  • Understanding of clinical trial processes, data standards and regulatory expectations.
  • Experience working directly with customers and cross-functional stakeholders.
  • Excellent problem-solving, communication and project coordination skills.

#LI-RD1


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

Skills

PythonSQLData ScienceClinical TrialsRisk Management

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