Principal Scientist - Research Data Management - Cheminformatics

KEMIO Consulting, in partnership with a top 10 award-winning pharmaceutical organization, is seeking a Principal Scientist in Research Data Management to advance cheminformatics data applications. Join our dynamic Global Computational and Digital Sciences Unit and contribute to breakthrough therapies that enhance human health.

Job Role: Key Responsibilities

This role offers a unique opportunity to maximize the value of key R&D data assets. As a Principal Scientist, you will:

• Collaborate with stakeholders across Discovery Research to identify strategic needs for data capturing, access, and reuse, focusing initially on small molecule research.
• Develop and implement a roadmap for innovations leveraging research data from drug discovery projects, working closely with IT partners and domain experts.
• Ensure alignment with overall R&D strategic goals through interactions with users and senior stakeholders, accelerating insights for the R&D pipeline.
• Oversee the compound database, a core element of the R&D data infrastructure.
• Drive data quality standards and frameworks, enhancing data value and availability for future reuse.

Qualifications and Requirements

• PhD in Chemistry, Physics, Bioengineering, Computer Sciences, or a related field.
• Technical expertise with hands-on experience in software development or database management. Experience in cheminformatics is a plus.
• Multiple years of experience in pharmaceutical R&D, with a track record of driving collaborations at the intersection of R&D and technology.
• Excellent communication and moderation skills in both written and spoken English.

Application Process

KEMIO is actively screening suitable candidates and aims to hire by June/July 2024. Please contact us for further discussions or explore other vacancies in our portfolio.

Keywords: Cheminformatics, Computational Chemistry, Machine Learning, Artificial Intelligence, Computational Sciences, Drug Discovery, Pharmaceutical, Biotechnology, Product Management, Data Science, Germany.