All candidates must be directly contracted by ASK Consulting on their payroll and cannot be subcontracted. We are unable to provide sponsorship at this moment.
Summary: 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. This employee should be passionate about the intersection of data and life sciences. They should actively apply both data engineering and software development skills to solve problems.
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.
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.
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.
2 years of work experience with SQL and data manipulation.
About ASK: ASK Consulting is an award-winning technology and professional services recruiting firm servicing Fortune 500 organizations nationally. With 5 nationwide offices, two global delivery centers, and employees in 42 states-ASK Consulting connects people with amazing opportunities
ASK Consulting is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all associates