Senior Scientific Data Engineer / Data Analyst
Do you enjoy data modeling, scripting in Python and SQL, and want to see the tangible results of your work? Do you know how to integrate data into a data lake and find the opportunity to use your skills to save human lives appealing?
We are looking for a Senior Scientific Data Engineer / Data Analyst to join us in the development of medicines and vaccines. Your role will be to bridge the gap between IT and laboratories. You will build reliable data foundations and integrate data into our data lake. The results of your work will directly serve scientists in designing new chemotherapies and medicines that save human lives worldwide. You will gain access to cutting-edge technologies and real-world scientific research where your work has a clear and meaningful purpose.
Responsibilities
•Perform hands-on data engineering, which includes designing, building, and maintaining data pipelines for processing experimental, chemical, and biological data.
•Integrate scientific data into the data lake from various sources and prepare it for analysis.
•Prepare data for AI/ML models used by scientists for chemical design and research workflows.
•Ensure data connection and visualization in LiveDesign, DataGrok, and Spotfire platforms so researchers can work with them daily.
•Collaborate closely with scientific and technology teams to help translate scientific questions into functional data solutions.
Requirements
•At least 5 years of experience with the Databricks platform, which is essential for our data workflows.
•At least 5 years of experience with SQL and Python for data modeling, scripting, coding, and ETL data transformations.
•Understanding of AI/ML principles and the ability to prepare data for the deployment of these models.
•Experience with scientific platforms (LiveDesign, DataGrok, Spotfire), ideally combined with a background in chemical, biological, or pharmaceutical research.
•Skills: Data Access, Data Analysis, Data Engineering, Data Modeling, Data Quality Improvement, Data Science, Data Services, Data Visualization, Predictive Modeling, Python (Programming Language), Reproducible Research, Software Development Life Cycle (SDLC), System Designs, TIBCO Spotfire, Workflow Analysis.
Conditions
•Exciting work in a great team, global projects, international environment
•Opportunity to learn and grow professionally within the company globally
•Hybrid working model, flexible role pattern
•Competitive salary & incentive pay
•Pension and health insurance contributions
•Internal reward system and referral scheme
•5 weeks annual leave, 5 sick days, 15 days of certified sick leave paid above statutory requirements annually, 40 paid hours annually for volunteering activities, 12 weeks of parental contribution
•Cafeteria for tax free benefits according to your choice (meal vouchers, sport, culture, health, travel, etc.), Multisport Card
•Vodafone, Raiffeisen Bank, Foodora, and discount programs
•Up-to-date laptop and iPhone
•Parking in the garage, showers, refreshments, massage chairs, library, music corner
Flexible Work Arrangements: Hybrid
