Life Science Data Engineer

Where Youll Make a Difference

• 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

What Makes You the Right Fit

• 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

How Would You Stand Out

• 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 hostmicrobiome datasets including translational or clinical research
• Understanding of microbial physiology fermentation processes or multi-omics data integration

Why Choose Us

• Opportunity to work on impactful real-world data and digital transformation projects
• Exposure to 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
• Inclusive and purpose-driven culture focused on innovation and sustainability

We are a global leader in taste scent and nutrition offering our customers a broader range of natural solutions and accelerating our growth strategy. At IFF we believe that your uniqueness unleashes our potential. We value the diverse mosaic of the ethnicity national origin race age sex or veteran status. We strive for an inclusive workplace that allows each of our colleagues to bring their authentic self to work regardless of their religion gender identity & expression sexual orientation or disability.

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