Clinical Data Analyst
Job Type | Permanent Full Time |
Location | Greater London |
Area | Central London, UK |
Sector | Clinical Research |
Salary | £0 per year |
Currency | gbp |
Start Date | ASAP |
Advertiser | remoteapi |
Job Ref | 1465 |
Job Views | 7 |
- Description
Are you a curious Clinical Data Analyst, ideally with strong SAS and programming skills? We have some great roles working directly with our client.
We are looking for candidates with strong data analytics aptitude and a passion for delivery excellence, to help drive customer success and broad adoption of a highly innovative product.
Our client's products support risk planning and operational risk monitoring, and utilize advanced statistical algorithms to determine the quality of clinical trial data both during and following study execution.Job requirements
- Experience with one or more programming languages, including SAS.
- Experience with and understanding of clinical trials and clinical data.
- Aptitude for mathematical and statistical concepts and data analytics.
- Excellent oral and written communication skills in English.
- Experience and ability to work well in a team environment.
- Ability to thrive in a fast-moving environment, under time and resource constraints.
- High degree of accuracy and attention to detail.
- Experience in delivery of technical solution trainings is a plus.
- Experience with CDISC databases is a plus.
- College degree, preferably in a scientific or technical discipline.
- Proven experience in a clinical research environment.
- Knowledge of industry regulatory and clinical data standards including 21 CFR Part 11, ICH E6 (GCP), CDISC standards, MedDRA, WHODRUG, etc.
Job responsibilities
- Perform the technical configuration of the solution for clinical studies based on customer requirements.
- Perform analysis
- Summarise findings and support the communication of results to customers (both written report and oral presentation).
- Participate in the continuous improvement and development of our product solutions and operational processes.
- Ensure that appropriate documentation is produced and maintained for each study.
- Assist Business Development and Quality Assurance teams in responding to client questions and requests (e.g., RFP responses, audits, etc.).
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