Senior Scientific Data Engineer / Data Analyst

Job Description

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.

• 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.

• 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.

Current Employees apply HERE

Current Contingent Workers apply HERE