Temporary Informatics and Data Analyst - QMPS jobs in United States
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Cornell University · 4 hours ago

Temporary Informatics and Data Analyst - QMPS

Cornell University is seeking a temporary Informatics and Data Analyst for their Quality Milk Production Services team. The role involves developing and maintaining analytics and AI solutions to enhance milk quality and operational efficiency, while integrating complex datasets to provide actionable insights.

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Growth Opportunities
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Responsibilities

Designing information system components to deliver end-to-end analytics solutions (data ingestion, modeling, visualization, and deployment) supporting milk quality improvement, process control, and service program outcomes
Building and optimizing scalable data pipelines for high-volume and high-variety data (field records, lab results, sensor streams, text notes), ensuring reliability, lineage, and auditability
Streamlining and automating recurring workflows and data flows (ETL/ELT, validation rules, alerting, exception handling), reducing manual effort and improving timeliness and consistency
Analyzing large data sets and extracting key results in support of research and program activities

Qualification

AI/ML experienceData analysisPython programmingSQL proficiencyData modelingData quality validationAutomation designStakeholder communicationInclusive relationshipsTeam collaboration

Required

Bachelor's degree in data science, statistics, computer science, engineering, or a related quantitative field and up to 2 years relevant experience or equivalent combination
Practical experience with AI/ML and AI agents to support decision assistance, triage, and workflow execution with appropriate evaluation and guardrails
Experience translating domain-expert knowledge into usable, validated data representations and decision-support tools
Demonstrated experience analyzing large, complex datasets and delivering analytics products used in operational decision-making
Strong programming skills in Python and/or R; proficiency with SQL; experience with data modeling and data quality validation
Experience designing automation for data pipelines and workflows (scheduling, validation, alerting, observability) in collaboration with engineering/IT
Proven ability to translate stakeholder needs into measurable analytics deliverables; strong communication skills with technical and non-technical audiences
Experience with AI systems including LLM-based workflows and AI agents (tool use, retrieval, evaluation, and guardrails
Demonstrated skill in structured expert knowledge extraction (interviews, workshops, protocol capture), and translating expertise into reusable data representations
Ability to cultivate and develop inclusive working relationships with students, faculty, staff, and community members

Benefits

Great benefits! Cornell receives national recognition as an award-winning workplace for our health

Company

Cornell University

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Cornell is a privately endowed research university and a partner of the State University of New York.

Funding

Current Stage
Late Stage

Leadership Team

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David Lesser
Co-Founder: Cornell Tech—Future Founders Club
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Emily Ehsan
Co-Founder and Secretary of Rho Psi Eta Professional Healthcare Sorority
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