Scientific Data Manager

Summary: We are seeking a motivated scientist with a solid scientific background and a strong interest in advancing their career in scientific data and informatics management. As part of a dynamic, multidisciplinary team of chemists, biologists, and informatics professionals, you will play a critical role in developing a cutting-edge data platform to drive drug discovery efforts. This is a unique opportunity for a scientist with a strong interest in and understanding of data curation, database management, and FAIR data policies. If you are passionate about enabling scientific breakthroughs through informatics and data management, this role will place you at the centre of our mission. Responsibilities, * Collaborate with cross-functional teams to design, develop, and maintain a data platform supporting drug discovery initiatives.

• Curate, standardise, and manage scientific data, ensuring alignment with FAIR data principles (Findable, Accessible, Interoperable, Reusable).

• Implement and manage Laboratory Information Management Systems (LIMS), Electronic Lab Notebooks (ELNs), compound registration, and assay data management workflows using tools such as Dotmatics or Revvity.

• Help develop and maintain databases for scientific data, supporting experimental workflows and discovery research.

• Utilise SQL and data analytics tools like Spotfire, Vortex, or similar platforms to analyse and visualise chemical and biological data effectively.

• Contribute to the harmonisation and FAIRification of data across internal and external systems, ensuring data integrity and accessibility.

• Provide support and training for scientists using informatics tools and platforms.

• Collaborate with our CROs to standardise and streamline our data capture protocols from their systems.

• Join discussions with our LIMS stakeholders to plan for automation of data capture

• Ph.D. or M.Sc. in a relevant scientific discipline (e.g., chemistry, biology, computational sciences)

• Demonstrated interest in data curation and management in a drug discovery or scientific research setting.

• Some understanding of modern LIMS, ELNs, and related informatics platforms such as Dotmatics or Revvity.

• Working knowledge of FAIR data policies and principles.

• Hands-on experience with SQL, data analytics, and visualisation tools (e.g., Spotfire, Vortex, Python, or other data analysis software).

• Strong organisational skills and attention to detail, with the ability to manage complex datasets and workflows.

• Excellent communication and interpersonal skills to collaborate effectively with multidisciplinary teams.

• Opportunity to collaborate with Chemistry, Biology, Data Engineering and Data science experts to develop a modern data platform scalable and ready for the AI revolution.

• A collaborative and innovative environment where your contributions directly impact drug discovery and scientific research.

• Opportunities for professional development and training in cutting-edge data management and informatics technologies.

• Competitive salary and benefits package.

Compensation & Benefits:

We’re committed to investing in every team member’s total well-being, now and in the future. We offer a competitive total-rewards package to all employees around the world, including:

• Competitive compensation package including bonus

• Stock options and RSU awards

• Employee Stock Purchase Plan (ESPP)