This position develops, maintains, and enhances clinical, safety, and operational data dashboards; supports visualization standards and reusable dashboard components; performs quality control and validation checks; and contributes to continuous improvement, automation, and innovation in the use of data visualization platforms and analytics solutions.
This role meets with a diverse team to support requirements gathering, dashboard development, issue resolution, user acceptance activities, and delivery of visualization solutions aligned with business needs, clinical data standards, and quality expectations.
Responsibilities- Supports the design, development, validation, and maintenance of clinical data visualizations and dashboards under the guidance of the Principal Data Visualization Developer, ensuring visual analytics solutions support trial monitoring, data review, safety review, and operational decision-making across clinical studies.
- Develops and applies visualization standards, reusable dashboard components, and supporting data specifications to enable consistent, scalable, and high-quality clinical, safety, and operational data visualizations across studies.
- Performs and supports quality control processes, acceptance criteria, and validation checks for visualization datasets and dashboards to ensure accuracy, consistency, traceability, and reliability of clinical data visualizations used for trial monitoring, safety review, and operational decision-making.
- Translates business and study needs into dashboard specifications and help ensure clinical data visualization solutions are fit-for-purpose, intuitive, reliable, and aligned with data review and trial oversight objectives.
- Supports cross-functional alignment by collaborating with Statistics, Data Management, Clinical Operations, Safety, Standards, and external partners to promote consistent understanding, adoption, and effective use of clinical data visualization standards, dashboard capabilities, and data review expectations across studies.
- Contributes to automation, innovation, and advanced analytics by applying visualization platforms, SAS, Python, R, AI-enabled capabilities, and other emerging technologies to improve dashboard development, streamline data review processes, and enhance the efficiency and effectiveness of clinical trial oversight.
- Degree (BSc/MSc/Diploma) in Computer Science, Mathematics/Statistics, or related area
- At least 5 years of relevant experience in clinical data visualization, dashboard development, or related clinical data analytics within the CRO/pharmaceutical environment.
- Significant hands on experience with PowerBI and SAS
- Experience supporting technical delivery activities with a strong understanding of the end-to-end clinical data lifecycle, including data acquisition, transformation, visualization dataset preparation, dashboard development, validation, and operational use for trial monitoring and data review.
- Working knowledge of clinical data standards and data structures, including CDISC standards such as CDASH, SDTM, and ADaM, with practical application in developing or reviewing visualization datasets, specifications, mappings, and dashboard-ready data outputs across studies.
Skills Required
- Degree in Computer Science, Mathematics, Statistics, or a related field
- At least 5 years of relevant experience in clinical data visualization, dashboard development, or related clinical data analytics within a CRO or pharmaceutical environment
- Significant hands-on experience with Power BI and SAS
- Experience with the end-to-end clinical data lifecycle, including data acquisition, transformation, visualization dataset preparation, dashboard development, validation, and operational use for trial monitoring and data review
- Working knowledge and practical application of CDISC standards, including CDASH, SDTM, and ADaM
Cytel Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cytel and has not been reviewed or approved by Cytel.
-
Healthcare Strength — Health coverage is described as comprehensive, spanning medical, dental, vision, life and disability, with FSAs/HSAs also available. Plan quality is often characterized as good to excellent, which lifts the perceived value of the overall package.
-
Retirement Support — A 401(k) with employer match is consistently part of the benefits package. The plan is also characterized as well managed, contributing to a sense of baseline retirement support.
-
Fair & Transparent Compensation — Overall pay is characterized as decent-to-good and broadly competitive in parts of the business, with stronger alignment noted in senior technical tracks like biostatistics and programming. The total package is often framed as respectable rather than premium.
Cytel Insights
What We Do
Cytel enables decision-makers in the life sciences to unlock the full potential of their products. From navigating uncertainty to proving value, Cytel’s 30 years of global expertise in consulting, data-driven analytics, and industry-leading software helps biotech and pharmaceutical companies transform intelligence into confident decisions. We have an uncompromising commitment to scientific rigor and high standards of operational excellence, which are channeled through our locations in North America, Europe, the United Kingdom, and Asia. Together, we enable our clients to deliver the therapies that propel humanity forward. Cytel employs a range of data science tools from biostatistics to machine learning to help executives in the life-sciences to make confident decisions powered by data. We are probably best known for being leaders in the field of adaptive clinical trial design, a subset of trial design that uses interim looks to enhance the patient safety and commercial value of pharmaceutical products. We also have specialists in Bayesian statistics, real world evidence, artificial intelligence, health economics, and a number of other research fields to ensure that academic and scientific findings can have impact on industry quickly and seamlessly. www.cytel.com
