Clinical Data Scientist
Confidential Employer
Job Overview
Location
Nigeria
Employment Type
Full-time
Work Arrangement
On-site
Sector
Healthcare & Medical
Experience Level
Senior (5-8 years)
Application Deadline
June 14, 2026
Job Description
We are seeking a highly analytical Clinical Data Scientist to join our innovative team.
In this role, you will leverage advanced analytical techniques to extract meaningful insights from clinical trial data, driving research and development forward.
Your responsibilities will include developing statistical models, performing predictive analytics, and communicating complex findings to stakeholders.
To apply for this role, click the Apply button on this page and follow the instructions.
Required Skills
Key Responsibilities
- Develop and implement advanced statistical models and machine learning algorithms.
- Analyze complex clinical datasets to identify trends, patterns, and insights.
- Design and conduct experiments to test hypotheses and evaluate research findings.
- Communicate findings and recommendations to cross-functional teams and stakeholders.
- Contribute to the development of data-driven strategies for clinical research.
Qualifications
- Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field.
- Proficiency in programming languages such as Python or R.
- Experience with machine learning frameworks and libraries.
- Strong understanding of statistical principles and data analysis techniques.
- Excellent communication and presentation skills.
Join Our Communities
The healthcare sector in Nigeria is experiencing significant growth, driven by increased investment in medical research and public health initiatives. This role is crucial for managing and interpreting complex clinical trial data, ensuring its integrity and accuracy. Key technical skills include data warehousing, statistical analysis, database management, and familiarity with clinical data standards like CDISC. The impact of this role extends to accelerating drug development timelines and improving patient outcomes, directly influencing research ROI and the scale of clinical operations.
Posted Date
May 31, 2026
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