Data Value Lead (all genders)

Evotec AG

Göttingen, Germany

6 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

evotecgroup.wd3.myworkdayjobs.com

Tech stack

Artificial Intelligence Computational Biology Data Governance Data Infrastructure Data Intelligence Machine Learning Data Processing Data Storage Technologies Data Strategy Data Management

Job description

to drive Evotec’s scientific data strategy and vision. In this role, you will focus on maximizing the value of scientific data, enabling data-driven innovation, and ensuring that data is managed, governed, and structured to support advanced in silico applications and AI-driven approaches., * Maintain and drive Evotec’s scientific data strategy and vision

Act as the interface into R&D IT regarding data-related topics
Define scientific data governance, including FAIR principles, to enable the efficient re-use of client and R&D data for novel applications
Act as the interface to Legal regarding data-related topics such as data storage and access
Drive data value realization and use-case enablement through the in silico functions
Support data economics and investment decisions
Ensure AI-readiness of Evotec’s scientific data models, * A position within a vigorous and exciting professional environment promoted by an open culture and a spirit of community
A diverse, international workforce with a dynamic working environment that fosters creativity, innovations and teamwork
30 days of annual holiday, monthly allowance for public transportation, and in-house canteen
Capital forming benefits, flexible working hours, holiday pay, and annual bonus depending on performance

Requirements

M.Sc. or PhD in Science, Technology, Engineering, Mathematics, or a related field
Experience in data handling, data management, or similar areas
Business-oriented thinking towards efficient data infrastructure and value generation
Strategic approach to data management and value creation
Scientific and in silico domain knowledge with a solid understanding of computational biology and chemistry, data-centric workflows, and general wet-lab experiments throughout Evotec
Demonstrated strategic ownership of data as an asset
Applied experience in data management and architecture design
Deep understanding of how data should be structured for AI/ML applications
Proven track record of data initiatives that led to better, faster, or more cost-efficient approaches