Senior Data Engineer- Process Development

6 days ago

Pleasanton, United States 10x Genomics Inc Full time

About the role:

10x is looking for an outstanding Data Engineer to join the Process Development team. This is a key position for both the Process Development and broader Operations team to ensure development of data pipelines, ensure accessibility of data, and design of data analytics tools.

The ideal candidate will have a strong background in data engineering and data analysis. Knowledge and hands-on experience with trend analysis, yield enhancement methods, correlation and ANOVA analysis, databases, developing statistical process control for reagent manufacturing and previous experience in manufacturing SPC are required. Candidates should also have a strong working knowledge of Operations processes.

Individuals applying for this position must be self-starters, strategic thinkers, action driven, flexible in changing direction and methods, thrive in a fast-paced environment, excel at managing multiple priorities, succeed in communicating with all levels within the organization and provide immediate contribution.

What you will be doing:

  • Development and implementation of process control and yield optimization solutions for complex reagent and consumable manufacturing workflows. Identify process to function relationships.
  • Write custom database queries to extract and aggregate MES, SCADA, and QC data from multiple databases, analyze this data and establish trends and guard bands for process control.
  • Identify key parameters and establish statistically relevant correlations between regent QC metrics and next generation sequencing metrics.
  • Contribute to CAPA investigations and remediation. Provide data analysis and support for root cause investigations.
  • Produce reports on process / method capabilities, component variability and ANOVA.
  • Maintain accurate and detailed records of testing, conduct in-depth data analysis, and clearly communicate these results through documentation and presentations.
  • Collaborate with stakeholders (e.g., customer-facing support teams, centralized data team, finance, logistics, manufacturing engineering, quality, and R&D) to understand data requirements and ensure data is readily available for analysis.
  • Identify root causes of data-related issues and partner with the stakeholders, ensuring minimal disruption to data workflows, and implement and optimize ETL processes to develop and scale data integration and analysis of quality-related data (quality control, nonconformances, manufacturing data) and from various sources.
  • Document data engineering processes, standards, and best practices to ensure knowledge sharing and maintainability.
  • Continuously evaluate and adopt new technologies and tools to improve data engineering processes and efficiency.

Minimum Requirements:

  • Degree in Computer science, Data science, Chemical Engineering, Statistics, or related field, with an emphasis in statistical process control and monitoring.
  • BS with 5+ years of experience, or MS / PhD with 1-3 years of experience.
  • Relevant experience developing process control for the manufacture of successful products.
  • Proficiency in programming languages such as Python.
  • Experience with ETL development and proficiency in SQL; experience with transactional and relational databases (e.g., MySQL, Oracle, PostgreSQL).
  • Experience with cloud-based data platforms & services (e.g., Snowflake, AWS Services).
  • Familiar with Next Gen Sequencing data and key sequencing pipelines and metrics.
  • Experience with standard statistical analysis software (e.g. JMP, R, CHARTrunner, Minitab, Matlab) is required.
  • Experience with data visualization tools (e.g., Tableau).
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment.
  • Desire to be part of a rapidly evolving organization, with a compelling technology, and taking products and processes to the next level.
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