Responsible for end-to-end management of clinical data for clinical studies, including data review, cleaning, reconciliation, and EDC/eClinical platform management.
Responsibilities
Manage data review, cleaning, and reconciliation for clinical studies
Build and manage EDC/eClinical systems, including study builds and change management
Conduct User Acceptance Testing (UAT), validation, and system releases
Work independently in regulated environments to identify risks and propose solutions
Collaborate with Clinical Affairs, Regulatory Affairs, Quality, IT, CROs, and external vendors
Requirements
Bachelor's or Licentiate degree in Life Sciences, Health Sciences, Biomedical Engineering, Statistics, Data Science, Computer Science or a related field
Support advanced analytics and data modeling across medium to large datasets, focusing on data cleaning, visualization, Neo4j graph database technologies, and developing solutions in programming languages such as Python or Java.
Compensation
$135,000 - $216,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
Responsibilities
Clean and preprocess medium to large datasets to ensure accuracy, usability, and reliability.
Visualize and analyze data using appropriate tools and statistical/analytical methods.
Develop and optimize Neo4j graph database solutions, including writing efficient Cypher queries and modeling relationships and graph structures to support analytics/use cases.
Develop software components in at least one programming language (e.g., Python or Java).
Work within cloud infrastructure in a high-security environment (classified), following security and compliance requirements.
The GARRETT GROUP is seeking an experienced Data Analyst to support advanced analytical, data management, and machine learning initiatives in a dynamic Department of Defense environment.
Responsibilities
Design and manage data collection processes
Analyze large and complex datasets
Develop machine learning models
Create analytical products using Python, R, SQL, and Business Intelligence tools
Support mission decision-making through data visualization and automation
Senior Clinical Data Associate (CDA) responsible for database setup, testing, data cleaning, and ensuring clinical data accuracy in accordance with GCP and global SOPs.
Responsibilities
Supports study activities such as database design and testing
Data Validation Manual (DVM) creation
Tracks and resolves data clarifications and queries
Generates project-specific status reports for management and clients
Provides training and work direction to junior staff
Requirements
Bachelor's degree or equivalent formal academic / vocational qualification
Clinical Data & Systems Sr. SpecialistNewEstablishment Labs · Coyol, Costa Rica
Data and Coding Support AssistantNewUniversity of Pittsburgh · Pittsburgh, US
Data Science SpecialistNewPeraton · Chantilly, US
Sr. Data ScientistNewGE Aerospace · Bengaluru, India
Data Analyst - JETARSNewThe Garrett Group · Offutt AFB, US