Job Summary:
IFF is a global leader in flavors, fragrances, food ingredients, and health & biosciences, seeking a Life Science Data Engineer to transform complex biological data into scalable solutions. The role involves collaborating with scientific teams to design data systems that support microbiology research and enhance data-driven discoveries.
Responsibilities:
• 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., Amazon Web Services, Laboratory Information Management Systems, 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 to improve data quality, reproducibility, and traceability
• 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 (e.g., sequencing, metabolomics, in vitro assays, and clinical endpoints)
• Partner cross-functionally to prototype and deploy digital solutions that enhance research and development efficiency and scalability
Qualifications:
Required:
• Ph.D. in Data Engineering, Computational Biology, Data Science, or a related field with relevant experience; or M.S. with equivalent professional experience
• Strong Structured Query Language (SQL) skills and experience with database systems such as SQL Server, PostgreSQL, or Oracle
• Proficiency in Python, R, or Spark for data processing and analysis
• Experience working with biological or experimental datasets with complex metadata structures
• Familiarity with statistical or computational analysis of biological systems
• Demonstrated ability to manage multiple projects and work independently in a dynamic environment
• Strong communication and collaboration skills, with experience partnering effectively with scientific teams
• Experience designing scalable data architectures and optimizing data workflows for downstream users
Preferred:
• Knowledge of clinical data standards and models (e.g., Observational Medical Outcomes Partnership (OMOP), Clinical Data Interchange Standards Consortium (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
Company:
At IFF, we make joy through science, creativity and heart. Founded in 1833, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.