Job Description

Description :

• Data Engineer with responsibility to configure non-GMP computer systems used by Manufacturing Science & Technology (MSAT) department staff to organize manufacturing process information and to assist with bioprocess monitoring and analysis.

Job Responsibilities:

• Work closely with MSAT staff to understand workflows and questions that originate in manufacturing and laboratory environments.
• Work as part of a larger data engineering team to develop analysis computer systems and tools with the overall goal to improve E2E operational performance (e.g., capacity to be freed up, quality, yield, productivity, lead times; exact KPIs) at various manufacturing sites across the globe.
• Standard data engineering tasks: obtain data extracts and define secure data exchange approaches, perform data quality checks and contribe to the data pipeline.
• Acquire, ingest, and process data from multiple sources and systems into Big Data platforms.
• Collaborate with data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models.

Skills Preferred:

• 1 year of work experience in current good manufacturing practice biopharmaceutical production setting (process development and/or manufacturing technical support).
• Some knowledge of statistical process control and data analysis techniques
• The ideal candidate will have a general knowledge of the underlying scientific principles applied to the development and manufacture of biopharmaceuticals. They will have a keen interest in learning bioprocess operations.
• Proficiency in data analysis techniques and a willingness to learn new techniques is desired.
• Experience with the following technologies: Distributed Processing (Spark, Hadoop, EMR), traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL), MPP (AWS Redshift, Teradata), NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan)
• Ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets
• Experience and interest in Cloud platforms
• Experience in traditional data warehousing and deploying ETL processes with Python.
• Familiarity with agile ways of working e.g. in SCRUM-teams.

Education:

• BS or higher degree in Chemical Engineering, Biochemical Engineering, Biochemistry, Computer Science, related field or equivalent work experience
• Experience translating scientific or engineering workflows into automated systems.
• 4 years of work experience with Python, C#, Javascript, or other programming language.
• 2 years of work experience with SQL and data manipulation.

Location:

• Hybrid in Oceanside, CA. 2-3 days a week onsite.

This is the pay range that Magnit reasonably expects to pay for this position: $50.36/hour-$67.14/hour

Benefits: Medical, Dental, Vision, 401K (provided minimum eligibility hours are met)

Magnit has an ongoing commitment to the diversity and inclusion of all team members. We believe that embracing diversity leads to innovation and helps address the needs of the business. We welcome individuals from different backgrounds, experiences, and cultures to join our team. We value this diversity and strive to create an inclusive environment that celebrates these unique perspectives, allowing you to contribute to your full potential. Finally, but most importantly, we expect all team members to be treated with dignity and respect.

If you have a disability and need an accommodation in relation to the online application process, please email us at Roche.Accommodations@magnitglobal.com

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