Scientist R&D Data Analytics

Job Description

IFF is an industry leader in fragrance, food, beverage, health and biosciences. Here, science and creativity meet to create essential solutions for a better world.  IFF Wilmington Delaware (at the Experimental Station Technology and Innovation Center) is a state-of-the-art biotechnology R&D lab.  

 

We have talented and creative teams applying cutting edge technology to address customer needs to meet the needs of a growing population, while protecting our environment for future generations.

 

Together, we will #DoMoreGood for people and the planet. Learn more at iff.com.  

 

The position will be part of the Data Analytics group within Research and Development and be based at our Wilmington, DE site.  As the successful candidate, you will play a crucial role as an R&D Data Engineer enabling the digital transformation of scientific investigations and processes.  You will collaborate with Biotech scientists and fellow Data Analytics team members to deliver solutions that will transform how our Biotechnology research is performed.  You will also be part of our central Digital Engineering team supporting data management and application development across IFF R&D.
Partner with researchers to design robust data capture and visualizations of experimental results.

 

 

• Create database architecture, automated data pipelines, and insightful visualizations.
• Web application development, deployment, and administration.
• Participate in cross-functional teams designing new products in various areas.
• Prototype novel technical solutions aimed at improving the efficiency of IFF R&D.
   

Job Requirements

• M.S. in Science, Engineering, or Mathematics with 3+ years of experience (B.S. 6+ years)
• Demonstrated experience delivering end-to-end digital solutions.
• Proficient in data science programming languages (Python, R, Spark).
• Proficient in SQL programming and database development (SQLServer, Oracle, PostgreSQL).
• Familiarity with AWS cloud services (S3, Lambda, Glue).
• Proficient in application containerization (Docker, Kubernetes).
• Familiar with version control methodologies (Git/Gitlab).
• Demonstrated ability to drive projects independently and contribute to multiple projects simultaneously.
• Experience with experimental science and a healthy curiosity to learn more.
• Strong teamwork, communication, and presentation skills.

 

Preferred Experience

 

 

• Data or Software Engineering role in Biology, Chemistry, or other Life Science industry.
• Life Science application experience (KNIME, Benchling).
• Web application development experience (Django, Flask, React).
• Proficient with visual analytic software (Power BI, Spotfire).
• Knowledge of Snowflake data engineering.