Brief Description
Quantori is seeking a scientific expert with a blend of technical proficiency, business analysis, and strong communication skills who can bridge the gap between scientific data management tools and effective user training in complex research environments.
Responsibilities
Demonstrated experience in planning, coordinating, and conducting training sessions, ideally within academic, research, or industry settings. Strong interpersonal and communication skills are essential for effectively engaging diverse audiences.
· Familiar with Genedata Screener API, including hands-on experience with its primary use cases, enabling automation and optimization of data management tasks.
· Practical knowledge of the Genedata Screener User Interface (UI) and how it’s applied in the pharmaceutical environment.
· Understanding of common Genedata Screener integrations with other systems used in data analysis, project management, and laboratory information management.
· Comprehensive understanding of general use cases for Genedata Screener within pharmaceutical and research workflows, enabling effective training and troubleshooting for end-users.
· Experience in gathering, analyzing, and translating business and scientific requirements into actionable solutions, enhancing efficiency in data workflows and lab processes.
· Demonstrated ability to swiftly identify and bridge gaps in requirements through Proof of Concept (PoC) integrations, showcasing adaptability and problem-solving in high-paced environments.
· Skilled in liaising with cross-functional teams, from scientists to IT professionals, ensuring alignment between technical capabilities and business objectives.
Requirements
Advanced degree (PhD) in fields related to laboratory sciences such as Biology, Chemistry, Biochemistry, or a closely related discipline is highly desirable. Or hands on experience in a modern lab.
Proficiency in Python scripting, with the capability to develop scripts for specific tasks and enhance data workflows. A higher level of proficiency in Python is a plus.
Conditions
● Competitive compensation
● Remote or office work
● Flexible working hours
● Healthcare benefits: medical insurance
● Continuous education, mentoring, and professional development programs
● A team with an excellent tech expertise
● Certifications paid by the company
Contact Information
career@quantori.com
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