Life Science Data Engineer

Job Summary

Are you passionate about transforming complex biological data into scalable solutions that drive scientific discovery? IFF is a global leader in flavors, fragrances, food ingredients and health & biosciences. As a Life Science Data Engineer, you will play a key role in advancing digital transformation within microbiology and microbiome research and development, partnering with scientists, bioinformaticians, and statisticians to design and scale data systems supporting experimental workflows.

• Collaborate with scientific teams to design scalable data capture systems and user-friendly visualizations of experimental results.
• Design and implement database architectures, data models, and automated data pipelines across platforms (e.g., AWS, LIMS, Benchling, and contract research organization systems).
• Develop structured data models capturing microbial strain metadata, growth conditions and experimental outputs.
• Partner with researchers to standardize experimental metadata, ontologies and data structures.
• Build and maintain data warehouses supporting probiotic growth, strain characterization and clinical datasets.
• Develop and implement robust data quality and integrity checks across data ingestion workflows, including integration of externally generated clinical data.
• Build pipelines integrating multi-modal datasets (sequencing, metabolomics, in vitro assays, clinical endpoints).
• Prototype and deploy digital solutions that enhance R&D efficiency and scalability.

• Ph.D. in Data Engineering, Computational Biology, Data Science or related field, or M.S. with equivalent professional experience.
• Strong SQL skills and experience with SQL Server, Postgre
  
  SQL or Oracle.
• Proficiency in Python, R or Spark for data processing and analysis.
• Experience with biological or experimental datasets with complex metadata.
• Familiarity with statistical or computational analysis of biological systems.
• Demonstrated ability to manage multiple projects independently in dynamic environment.
• Strong communication and collaboration skills when partnering with scientific teams.
• Experience designing scalable data architectures and optimizing data workflows for downstream users.

• Knowledge of clinical data standards and models (OMOP, CDISC) and healthcare coding systems.
• Experience working with microbiome or host-microbiome datasets, including translational or clinical research.
• Understanding of microbial physiology, fermentation processes or multi-omics data integration.

Opportunities to work on impactful, real-world data projects and digital transformation initiatives within cutting-edge microbiome and probiotic research.

Collaborative environment with highly skilled scientists, engineers, and data experts.

Access to learning and development opportunities to grow technical and domain expertise.

We consider all qualified candidates equally and based on merit, without regard to religion, ethnicity, national origin, race, age, veteran status, gender identity or expression, sexual orientation or disability.