Description

You will manage biologics data and implement governance best practices within the Data Science and Engineering team.

Responsibilities

• Implement data governance, integration, quality, and access controls across the data domain.
• Create processes and metrics to validate data accuracy and consistency across disparate systems.
• Automate the consolidation of data from various sources into enterprise data systems.
• Perform data wrangling and mining to extract insights for decision-making and recommendations.
• Collaborate with stakeholders to achieve project goals.

Required Skills

• 5+ years of experience in data management and analytics.
• Proficiency in Python, R, SQL, Linux, and shell programming.
• Experience building automated data pipelines for integration and quality monitoring.
• Hands-on experience with Google BigQuery, AWS databases, Oracle SQL, MySQL, and PostgreSQL.
• Working knowledge of AWS, Azure, and GCP.
• Ability to communicate technical data findings to non-technical personnel.
• Master's degree in Microbiology, Genomics, Bioinformatics, Computational Biology, Data Analytics, Data Engineering, or related quantitative life science disciplines.

Preferred Skills

• Knowledge of microbiology, microbial genomics, field testing, soil, and weather data.
• Experience in unstructured data management and analytics techniques.
• Experience developing interactive data visualization and application tools.

Key Skills

Education

Any Graduate