SC51P4 Scientific Content Engineer

Position Summary

The scientific content engineer successfully, proficiently, and efficiently leverages standard business technology applications and programming languages to develop and maintain CAS knowledge-management systems. They demonstrate consistent expertise in data wrangling, data analysis, and domain knowledge to generate high-quality deliverables for CAS operations, services, and products. This position establishes and adapts data needs for emerging content areas and customer requests while demonstrating a customer-centric mindset.

Job Accountabilities

• Contributes expertise to an internal network of data wrangling, data analysis, and domain experts.
• Demonstrates innovation and expertise in applying scientific content understanding, policies, work habits, insights, and technologies to consistently achieve performance expectations for deliverables, accuracy, and timeliness.
• Demonstrates a customer-centric mindset and creates accurate deliverables for projects, products, and services efforts.
• Strong learning agility including ability to quickly learn, apply, and share knowledge of complex scientific, data, and technical concepts and policies and leverage approved technologies.
• Manages time effectively and prioritizes responsibilities, quickly recognizing and assessing competing priorities to communicate a strategy to ensure business needs are met.

Qualifications

• A bachelor’s degree in science or a technology-related domain. Advanced degree and/or MBA preferred.
• 7-12 years of work experience in cheminformatics, bioinformatics, or scientific data engineering or other related background.
• Proficiency in workplace standard business technology applications, programming languages, and other technical software.
• Strong critical thinking and problem-solving skills.
• Demonstrated ability to proactively collaborate, communicate, and share knowledge with peers with diverse backgrounds for role modeling, coaching, and mentoring.
• Recognizes opportunities for improvement and collaborates with colleagues to develop solutions that improve efficiency and accuracy and are cost effective.
• Strong learning agility including ability to quickly learn, apply, and share knowledge of complex scientific, data, and technical concepts and policies and leverage approved technologies.