Current Statistics
1,268,108 Total Jobs 209,664 Jobs Today 14,860 Cities 222,738 Job Seekers 146,874 Resumes |
|
|
 |
|
 |
 |
Life Science Data Engineer - Wilmington Delaware
Company: International Flavors and Fragrances Location: Wilmington, Delaware
Posted On: 05/14/2025
Job SummaryIFF 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 Data 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.Required Experience
- 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, PostgreSQL, Oracle).
- Familiarity with cloud data engineering (AWS, Snowflake).
- 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
|
 |
 |
 |
 |
|
|