spearmint bio

Designs and maintains the company’s data infrastructure, including database systems, data pipelines, and secure data handling. Ensures that raw biological data is transformed into structured, usable formats for analysis and product development. Design and implement database schemas for longitudinal and multi-dimensional biological data Build and maintain data ingestion and processing pipelines (ETL workflows) Clean, standardize, and organize raw data from multiple sources into structured formats Ensure data integrity, consistency, and scalability of the system Implement data access controls and security measures to protect sensitive data Manage cloud infrastructure (e.g., AWS, GCP) for data storage and processing Support internal teams by enabling efficient data querying and access Contribute to backend systems and APIs as needed for future product development Strong proficiency in SQL and database design Experience with Python or similar languages for data processing...

Assists the development of data-driven products built on longitudinal biological datasets, including analytical pipelines, modeling, and client-facing deliverables. Responsible for translating raw data into structured insights and commercially viable outputs. Design and execute analyses on longitudinal biological datasets to identify patterns, signals, and potential biomarkers Develop statistical and machine learning models to support hypothesis generation and predictive insights Define core product offerings, including analysis frameworks, report structures, and data outputs Produce client-facing deliverables, including structured reports, visualizations, and technical summaries Translate complex analytical results into clear, actionable insights for non-technical stakeholders Collaborate with the business development lead to align analytical outputs with client needs and project scopes Continuously refine analytical workflows based on feedback from internal work and...