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Senior Clinical Data Science Programmer (Clinical SAS Listings)
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.
Are you an experienced **Clinical SAS Listings Programmer** with 3+ years of experience developing and maintaining clinical study listings looking for your next opportunity?
ICON is growing and we're looking for talented professionals to join our Clinical Data Science team in a fully remote role. This is an exciting opportunity for an experienced programmer with strong expertise in **Clinical Study Listings, including DM Listings and Reconciliation Listings** , to work in a client-facing role and deliver high-quality clinical data science and programming solutions that support clinical development programmes across a global portfolio.
**What You Will Be Doing**
+ Develop, validate, and maintain Clinical Study Listings, including DM Listings, Reconciliation Listings, and other study-specific listings.
+ Ensure study listings are configured, delivered, and maintained in line with agreed timelines and quality expectations.
+ Manage clinical study listings in compliance with clinical standards to support the successful execution of clinical trials.
+ Serve as the subject matter expert for Clinical Study Listings, providing support, troubleshooting, and maintenance activities.
+ Partner directly with stakeholders, providing technical expertise and acting as a key contact for programming-related activities.
+ Participate in client meetings, delivering updates, presenting outputs, and supporting decision-making throughout the study lifecycle.
+ Provide guidance on programming best practices, coding standards, validation approaches, and data quality controls.
**You Will Have/Be**
+ Bachelor's degree in Life Sciences, Computer Science, Statistics, or a related discipline.
+ Minimum 3 years of experience developing, validating, and maintaining Clinical SAS Listings.
+ Demonstrated experience producing DM Listings, Reconciliation Listings, and other clinical study listings.
+ Strong proficiency in SAS and experience with programming languages such as R, Rave Custom Functions, and Python.
+ Understanding of CDISC standards and clinical reporting best practices.
+ Excellent verbal and written communication skills.
+ Ability to work independently in a remote environment while managing multiple priorities and deadlines.
\#LI-RD1
**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, LifeWorks, offering 24-hour access to a global network of over 80,000 independent specialized 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, subsidized travel passes, health assessments, among others.
Visit our careers site ( to read more about the benefits ICON offers.
At ICON, inclusion & belonging are fundamental to our culture and values. We're dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know or submit a request here ( in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless - there's every chance you're exactly what we're looking for here at ICON whether it is for this or other roles.
Are you a current ICON Employee? Please click here ( to apply

About the Role Our client, a rapidly expanding FinTech company located in **Centurion, Gauteng**, is seeking an exceptional Data Science Lead to drive its predictive analytics initiatives. This senior role requires a visionary leader with a proven track record in building and managing high-performing data science teams and architecting sophisticated machine learning models. You will be responsible for leveraging vast datasets to uncover actionable insights, develop cutting-edge predictive models, and shape the company's data-driven strategy. This is a critical position within a dynamic and innovative environment, offering the chance to significantly impact business growth and product development in **Centurion**, **Gauteng**. We are looking for a strategic thinker who can translate complex data challenges into tangible business solutions. Key Responsibilities

• Lead and mentor a team of data scientists, fostering a culture of innovation, collaboration, and technical excellence.
• Design, develop, and implement advanced machine learning models and algorithms for predictive analytics, forecasting, and anomaly detection.
• Oversee the entire data science lifecycle, from data acquisition and cleaning to model deployment and ongoing monitoring.
• Collaborate closely with product management, engineering, and business stakeholders to identify key business opportunities and translate them into data science projects.
• Define and track key performance indicators (KPIs) for data science initiatives and model performance.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence, evaluating and implementing new technologies and methodologies.
• Communicate complex technical findings and recommendations clearly and concisely to both technical and non-technical audiences.
• Ensure the ethical and responsible use of data and algorithms in all projects.
• Contribute to the strategic vision for data utilization within the organization.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
• Minimum of 8 years of professional experience in data science, with at least 3 years in a leadership or management role.
• Proven experience in developing and deploying machine learning models for predictive analytics in a business context.
• Expertise in programming languages such as Python or R, and proficiency with data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong experience with SQL and big data technologies (e.g., Spark, Hadoop).
• Deep understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong leadership, communication, and stakeholder management skills.
• Experience working in a FinTech or related industry is a plus.
• Ability to work remotely from **Centurion, Gauteng** or a suitable remote location.

Benefits Our client offers an attractive salary package, including competitive base pay and potential for performance-based bonuses and stock options. Comprehensive health, dental, and vision insurance are provided. Generous paid time off and flexible working hours are standard. Opportunities for professional growth include access to cutting-edge tools, conferences, and continuous learning platforms. The company culture encourages innovation and collaboration, with regular team-building activities. Employees have access to modern remote work infrastructure and support. This role offers significant autonomy and the chance to shape the future of data science within a leading FinTech firm based in **Gauteng**.

**IQVIA is growing! Hiring multiple Clinical Data Management (CDM) Leads across our FSP (Functional Service Provider) and Traditional (Sponsor-Agnostic) delivery models.**
**Apply now and have your resume considered for Lead Data Manager opportunities across multiple teams - allowing us to match you with the best-fit project and client environment for your experience and interests!**
IQVIA is seeking experienced Clinical Data Management Leads to oversee end-to-end data management delivery for global clinical trials. You'll ensure quality, accuracy, and compliance while leading cross-functional teams that help bring new therapies to life. _This is a remote/WFH position with all necessary equipment provided._
**What You'll Do**
+ Lead data management for complex, global clinical trials from study setup to database lock.
+ Serve as the main client contact for all data management deliverables.
+ Oversee SAE, PK, and external data reconciliation and database deployment.
+ Manage timelines, budgets, and resource allocation to meet customer expectations.
+ Mentor junior data management staff and promote best practices.
+ Drive process improvements and ensure regulatory and SOP compliance.
**Who We're Looking For**
Ideal candidates will have.
+ Bachelor's degree in life sciences, health, clinical, biological, or mathematical field.
+ No less than 10 years of direct clinical data management experience, with 5+ years in a Lead Clinical Data Management role.
+ Your previous roles/job titles may include _Clinical Data Manager, Senior Clinical Data Manager, Lead Data Manager, Principal Data Manager, and/or Data Management Project Manager_ .
+ Proven success managing large global studies (1000+ patients).
+ Expertise with Medidata Rave, Oracle InForm, or similar EDC systems.
+ Strong understanding of GCP, ICH, and clinical research processes.
+ Excellent communication and leadership skills.
**What IQVIA Offers**
+ Fully remote role - company equipment provided
+ Competitive salary and performance-based incentives
+ Career growth and learning opportunities through mentoring and internal mobility
+ Inclusive, global culture focused on innovation and collaboration
**What to Expect After Applying**
+ Recruiter video chat (20 min)
+ Hiring manager interview (1 hour, MS Teams - Offer decisions are typically made within one or two weeks of the final interview.)
**Apply now to join IQVIA, where your expertise shapes the future of data-driven healthcare!**
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create connections that accelerate the development and commercialization of innovative medical treatments. Everything we do is part of a journey to improve patient outcomes and population health worldwide.
To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere. Thank you for your interest in growing your career with us.
EEO Minorities/Females/Protected Veterans/Disabled

Duties and Responsibilities:
Experience and Skills

• 6+ Develop models to generate insights and support business decisions
• 6+ years applying statistical methods, machine learning, and domain knowledge to solve complex business problems
• Minimum 1 years knowledge of foundational Large Language Models and agentic AI
• 6+ years Python/R, SQL, notebooks, visualization tools (Power BI), experimentation frameworks

Qualifications:

• Postgraduate qualification in a quantitative field (Statistics, Computer Science, Mathematics, Engineering) or similar qualification.
• Relevant cloud certification in Data Science or Machine Learning or Artificial Intelligence - mandatory

ROLE & RESPONSIBILITIES:

• Translate business problems into data-driven and AI-enabled solutions
• Perform exploratory data analysis to uncover patterns, issues, and opportunities
• Design, build, and maintain data pipelines to support analytics and modelling use cases
• Develop, train, evaluate, and iterate on machine learning and AI models
• Apply appropriate model evaluation techniques and define success metrics
• Support operational data workflows and resolve day-to-day data processing issues when required
• Produce clear dashboards, reports, and visualisations for stakeholders
• Communicate insights, model behaviour, and recommendations to both technical and business audiences
• Collaborate closely with data engineering, AI platform, and observability teams to productionise solutions
• Contribute to best practices around data quality, governance, and responsible use of AI

QUALIFICATIONS/EXPERIENCE:

• An ideal candidate:
• Is outcome-driven, not model-driven
• Is comfortable working close to data pipelines and production constraints
• Can explain models and uncertainty to business stakeholders
• Collaborates naturally with platform, AI engineering, and observability teams
• Understands that trust, transparency, and governance are as important as accuracy

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