Macrodata Refiner

About Lumon Industries

Lumon Industries is a biotechnology and data science company with over seven decades of operations guided by the vision of our founder, Kier Eagan. We are entering a new era of data-driven discovery, and our Macrodata Refinement division is at the center of that transformation.

The Role

We are hiring a Macrodata Refiner to join our growing Severed Floor team. In this role you will process, analyze, and refine large-scale proprietary datasets using Lumon's internal tooling and modern data engineering practices. You will work closely with department heads and cross-functional partners to ensure data integrity, build automated pipelines, and surface insights that drive critical business decisions.

This is a hands-on technical role that requires strong analytical skills, comfort with ambiguity, and the ability to work independently within a structured operating environment.

Responsibilities

• Process and refine large proprietary datasets using Lumon's internal data platform and standard ETL tooling
• Build and maintain automated data pipelines using Python and SQL
• Perform statistical analysis and anomaly detection across multi-dimensional datasets
• Collaborate with cross-functional teams (Optics & Design, Wellness, Management) to translate data requirements into technical solutions
• Write clear documentation for data models, transformation logic, and pipeline architecture
• Monitor data quality metrics and implement validation checks
• Participate in weekly department syncs and present findings to non-technical stakeholders

Requirements

Must Have

• 4+ years of professional experience in data engineering, data analysis, or a related technical role
• Strong proficiency in Python (pandas, NumPy, or similar data libraries)
• Advanced SQL skills — complex queries, window functions, query optimization
• Experience building and maintaining ETL/ELT pipelines
• Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field

Should Have

• Experience with cloud data platforms (Snowflake, BigQuery, or Redshift)
• Familiarity with workflow orchestration tools (Airflow, Dagster, or Prefect)
• Understanding of statistical methods — hypothesis testing, regression analysis, anomaly detection
• Strong written communication skills — ability to document technical processes clearly and present findings to non-technical audiences

Nice to Have

• Experience with data visualization tools (Tableau, Looker, or Metabase)
• Familiarity with containerization (Docker) and version control best practices (Git)
• Prior experience in a regulated industry (biotech, healthcare, finance)
• Exposure to machine learning workflows or feature engineering

What We Value

• Precision and attention to detail in data work
• Curiosity about the systems you work within
• The ability to stay focused and productive in a structured, distraction-free environment
• Ownership — you see problems through to resolution without waiting to be told
• A collaborative mindset — you work well with colleagues across departments

Compensation & Benefits

• Competitive salary based on experience
• Comprehensive benefits package including Lumon Wellness Program
• On-site perks: Music/Dance Experience sessions, Waffle Parties, Finger Traps
• Career development within a growing division
• Melon Bar access during designated break periods