Data Scientist
5 days ago
We are seeking a skilled and detail-oriented data professional with expertise in SAS/SQL to manage data extraction, transformation, and visualization activities while ensuring the accuracy and quality of deliverables.
Key Responsibilities- Program Listings and Mappings: Develop and maintain program listings and mappings that meet study-specific requirements.
- Create Visualizations: Design and implement visualizations to aid in the interpretation of clinical data.
- Clinical Data Review in JReview: Utilize JReview for hands-on clinical data review, ensuring data accuracy and compliance with project specifications.
- Automation of Tasks: Implement automation techniques to streamline data handling processes and enhance efficiency.
- Data Extraction and Transformation: Configure data extraction and transformations across multiple data sources at the study level as defined by the Data Transfer Agreement (DTA) and specifications provided by Data Engineers.
- Stakeholder Collaboration: Partner closely with internal and external stakeholders, including Data Engineers, to ensure data integrity and accuracy.
- Quality Deliverables: Ensure accurate delivery of data formats and data frequency with high-quality outputs per specifications.
Required Skills and Qualifications
- Bachelor's degree in Computer Science, Data Science, Life Sciences, or a related field.
- Proven experience as a JReview Programmer with strong SAS and SQL skills.
- Hands-on experience with clinical data review and visualization tools.
- Familiarity with data extraction, transformation, and loading (ETL) processes.
- Strong knowledge of Good Clinical Practice (GCP) and computer system validation processes.
- Excellent analytical and problem-solving skills.
- Ability to work independently as well as collaboratively in a team environment.
- Strong communication skills and the ability to interact with stakeholders at all levels.
Benefits
- Competitive salary: $120,000 - $150,000 per annum
- Collaborative work environment with a focus on innovation and continuous learning
- Opportunity to work with cutting-edge technologies and contribute to impactful clinical research
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