What are the responsibilities and job description for the Laboratory Data Associate position at ICON Strategic Solutions?
*Onsite in Cambridge, MA - no relocation*
We are currently seeking a Laboratory Data Associate to join our diverse and dynamic team. As a Laboratory Data Associate at ICON, you will play a pivotal role in designing and analyzing clinical trials, interpreting complex medical data, and contributing to the advancement of inNvative treatments and therapies.
What you will be doing
- Gather data from ongoing and past initiatives, projects, and legacy systems.
- Evaluate the accuracy, completeness, and reliability of incoming data.
- Analyze and reconcile discrepancies among datasets from various teams or systems.
- Map collected data to GLAMS, identifying overlaps and gaps.
- Conduct audits and spot checks to identify errors, omissions, or inconsistencies.
- Collaborate with stakeholders to address and resolve data conflicts swiftly and efficiently.
- Maintain up-to-date records of data flows and sources, ensuring traceability.
- Fill out data fields inside GLAMS, creating metadata for Tetra Sciences.
- Clean data from different sources, ensuring uniform data formats and matching model numbers with vendor model numbers.
- Prioritize asset management needs, focusing on approximately 10,000 assets in the labs.
- Connect instruments in the lab that have a PC and understand calibration and PM data.
Your profile
- 3 years of experience in lab operations or lab-based roles using lab automation.
- Bachelor’s Degree in a scientific, technical, or business discipline required.
- Strong analytical skills, with the ability to interpret and reconcile diverse datasets.
- Familiarity with enterprise asset management systems and integration processes.
- Highly desirable: proven experience in data management, data governance, or data analytics within a complex organizational setting.
- Suitable for scientists wanting to move into lab operations.
- Some familiarity with capital lab instruments.
Salary : $60,000 - $65,000