Data Engineer

🕒 October 2

❄️ Minnesota – Remote

❄️ Minnesota – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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👻 Ghost score 12%

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Ralco

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1971

🍽️ Food & Beverage

🏥 Healthcare

🏭 Manufacturing

Food & Beverage • Healthcare • Manufacturing

Ralco is a pioneer in developing natural solutions for the agricultural industry since 1971, focusing on maximizing nutrient conversion in livestock and crops. By harnessing patented technologies involving essential oils, energy-efficient diets, and microbial stimulation, Ralco enhances health and productivity in animals while minimizing waste. Their innovative approach combines nature with sound scientific principles to provide effective solutions for producers, ensuring that nutrition is efficiently utilized for growth rather than being lost as waste.

📋 Description

• Build and maintain data infrastructure connecting lab instruments, in-vitro work, and barn/field data sources to the shared database • Build or work with IT to build a LIMS-style direct-entry system • Enter, tag, organize, structure, and validate incoming data • Design and maintain database schemas and tagging conventions • Work with IT to design and validate permissioned, gated access controls for sensitive data • Ensure new compound and trial data has a complete, validated profile • Resolve data-quality issues with originating scientists and lead periodic data audits • Standardize naming conventions and reconcile duplicate or conflicting records • Build and maintain anomaly detection, compound similarity/clustering, and pattern-flagging tools • Build, retrain, and validate database-querying models on a documented cadence • Track model hit-rate before and after retraining cycles and document trends • Work with R&D to keep models accurate and appropriately designed for the data • Review data across active research projects and surface insights, trends, and connections • Conduct cross-project data reviews for the R&D team • Run patent and literature searches to support hypothesis-building, manuscripts, and Regulatory's IP review • Produce quarterly gap-audit reports and post-retraining-cycle reports • Follow and help enforce IP protection practices and escalate data handling or access risks • Meet regularly with R&D and IT, translating researcher needs into data architecture

🎯 Requirements

• Bachelor's or Master's degree in Data Science, Data Engineering, Bioinformatics, Computer Science, or a closely related field • 3–6 years of experience in data science, data engineering, bioinformatics, master data management, or a closely related field • Real experience designing data pipelines • SQL and relational database concepts • Practical, hands-on machine learning experience • Experience with permissioned/gated data-access systems • Data pipeline design and hands-on database schema architecture, including LIMS-style direct-entry system design or integration • SQL and at least one scripting language for pipeline and data work • Practical, hands-on machine learning experience including model training, validation, retraining, and performance evaluation • Experience with anomaly detection, clustering, and similarity algorithms on structured datasets • Sound judgment handling proprietary and sensitive data • Self-directed learning and ability to evaluate evolving AI/ML tools and techniques • Ability to translate between researcher needs and data architecture • Willingness to regularly travel to Marshall, MN • Experience building or integrating a LIMS-style direct-entry system preferred • Direct, hands-on experience building, validating, deploying, and retraining predictive models preferred • Experience designing database schemas and tagging systems for messy, real-world data preferred • Demonstrated self-directed learning preferred • Curiosity about the underlying science preferred • Some background or coursework in life sciences, chemistry, or animal/agricultural science preferred • Experience running patent database searches preferred

🏖️ Benefits

• Regular travel to Marshall, MN expected • Remote work arrangement • Opportunity to work with R&D and IT teams on agricultural health and nutrition innovation

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