Description

Configure non-GMP computer systems to organize manufacturing process information, assist with bioprocess monitoring, and collaborate with MSAT staff to translate scientific workflows into automated systems. Acquire, ingest, and process data from multiple sources into Big Data platforms. Develop analysis tools to improve operational performance across global manufacturing sites. Obtain data extracts, define secure exchange approaches, and perform data quality checks. Partner with data scientists to curate, wrangle, and prepare data for advanced analytical models.

Responsibilities

• Translate scientific and engineering workflows into automated systems.
• Ingest and process data from multiple sources into Big Data platforms.
• Develop analysis tools to improve end-to-end operational performance.
• Define secure data exchange approaches and perform pipeline quality checks.
• Curate and wrangle structured, semi-structured, and unstructured data for analytics.

Required Skills

• 4+ years of experience with Python, C#, or Javascript.
• 2+ years of experience with SQL and data manipulation.
• Proficiency with MS SQL Server, Oracle, MySQL, or AWS Redshift.
• Experience with traditional data warehousing and deploying ETL processes with Python.
• Ability to identify linkages across structured, semi-structured, and unstructured data.
• Experience with distributed processing technologies such as Spark, Hadoop, or EMR.
• Knowledge of MPP systems like Teradata.
• Experience with NoSQL databases including MongoDB, DynamoDB, Cassandra, Neo4J, or Titan.
• Familiarity with agile methodologies and SCRUM teams.

Preferred Skills

• 1 year of experience in a cGMP biopharmaceutical production setting.
• Knowledge of statistical process control and data analysis techniques.

Key Skills

Education

Any Graduate