MSAT Process Data Engineer

Description

Your Impact

Our tight-knit, agile, and fun MSAT Data Science team is looking for someone who has a strong work ethic and wants to be a part of a collaborative team. In this role, you will have a direct impact on improving the understanding of current and future processes that will drive Poseida’s mission to cure patients of cancer. This individual will perform Data Lake Architecture, manufacturing process data analysis, dashboards, and modeling to drive this effort forward. You will have an opportunity to learn and advance in your career as this group is forward thinking and fully supportive of employee development. We understand the meaning of team and are looking for an individual that wants to be a part of something bigger and a become a driving force in changing the lives of cancer patients. 

Position Summary

Poseida is seeking a highly motivated and talented Process Development Data Engineer to join the Manufacturing Science and Technology (MSAT) team within the Process Development department. As part of the MSAT Data Science group, you will support critical development/manufacturing pathways with the goal of swiftly advancing biological and cell-based entities to the market. You will design and implement our MSAT Data Lake. You will provide leadership and guidance for projects and activities aimed at increasing understanding of manufacturing processes, through data trending, visualizations, investigation, modeling and sound statistical analysis. You will plan, document, and execute data analyses for both internal and external manufacturing operations to consistently evaluate performance, and assist in devising experimental strategies for cross functional development teams. These activities establish the conditions essential for safety, efficacy, and marketability of biological/cell-derived products. Through your comprehensive knowledge of principles, concepts, and theories of the discipline, you will also work towards advancing new concepts and methodologies that can improve internal business processes. 

Responsibilities 

These may include but are not limited to:

• Daily hands-on support of?non-clinical?statistical analysis and data modeling?that contributes?to the overall MSAT goals; offer proactive advice, service and technical expertise upon request. 
• Provide essential statistical support to the science and technology lines within the broader operations departments: including Manufacturing, Analytical Development, Quality and Regulatory. 
• Solid understanding and use of statistical principles and practices to solve a range of complex problems to improve manufacturing success rates in real-time, provide retrospective data analysis for process improvements, and provide input for complex manufacturing investigations.? 
• Develop or adapt?existing and innovative methods and?techniques for data collection, data configuration, data analysis and/or data modeling, to continuously?increase effectiveness and efficiency of relevant statistical methods and techniques to contribute to process improvement.? 
• Conduct analyses and share data-driven insights by synthesizing the impact of initiatives led by project teams 
• Work in close collaboration with Poseida internal Statistical and Data Sciences team (SDS) to generate statistical models for predicting manufacturing outcomes and overall patient response. 
• Collaborate with Scientists/Engineers to understand the technical business application and apply modelling techniques to improve organizational effectiveness and decision-making quality. 
• Deliver training on statistical concepts; translate and explain complex statistical methods and findings to a non-statistician. 
• Demonstrate initiative to solve problems in biopharmaceutical manufacturing by influencing collaborators and improving methods/workflows while ensuring sound statistical thinking, techniques, and predictive models are employed. 
• Use statistical and business acumen to prepare both internal and external reports, presentations, and manuscripts. 
• Ensure that all study and project level statistical activities are conducted in compliance with relevant regulatory requirements and internal company standards and best practices. 
• Pursue business-related research interests and represent Poseida externally.

Requirements

Requirements, Knowledge, Skills and Abilities

• Ph.D. with 0-2 years’ experience (or M.S./B.S with equivalent years of experience) in a relevant scientific, engineering, or mathematical discipline (e.g., Data Science, Statistics, Computer Science, Bioengineering, Chemical Engineering, Electrical Engineering, Mathematics, Physics). Master’s and Bachelor’s degrees would also require training and/or relevant coursework in data scie