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Data Analyst, Manufacturing and Process Performance Analysis

Date: Feb 23, 2021

Location: Philadelphia, PA, US

Company: Spark Therapeutics

Join the Spark Team

 

We were born of innovation, springing from the curiosity, imagination and dedication of remarkable scientists and healthcare visionaries. Our shared mission is to challenge the inevitability of genetic disease by discovering, developing, and delivering treatments in ways unimaginable – until now.

 

We don’t follow footsteps. We create the path.

We are seeking highly motivated candidates with a passion for digging into complex data sets to solve practical problems and help teams access knowledge that can inform key decisions throughout the drug development life cycle to join our team on this mission. The Data Analyst is a key member of the Manufacturing and Process Performance Analysis (MPA) Group which drives tangible value by providing data powered insights that drive investigation resolution and identify continuous improvement opportunities through both routine and event-based analysis.

 

In this role, you will work closely with the MPA Group Lead, MS&T Team and Data Science Function to establish systematic management and analysis of manufacturing and process performance data. This individual will also be responsible for analyzing and summarizing the data in technical reports and presentations and troubleshooting as needed.

 

Primary Duties include:

  • Compiling, capturing, trending, and analyzing process generated data and subsequently using these findings to drive increased process understanding and consistency, develop improvements, or identify root cause

 

Responsibilities

  • Works with process engineers and scientists to execute data analysis and application in support of late stage process development, technical troubleshooting, process monitoring, and optimization/improvement activities for manufacturing.
  • Supports process technology transfer with ongoing data analysis of process performance.
  • Executes and verifies data analysis in support of CPV type programs. 
  • Maintain process information, documentation of process parameters, and tracking of process performance.
  • Analyzes and interprets results, of laboratory-based studies.
  • Performs data verification exercises as needed.  
  • Prepare detailed oral or written summaries of results with interpretation for projects/platform
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery etc.
  • Create data tools for analytics and metric boards to track progress
  • Manage individual performance to achieve business goals and objectives, as well ongoing professional development.
    • Manage performance: know what is expected, what it takes to be successful, and self-monitor progress.   Be accountable to achieve results while demonstrating the Spark Values. Periodically review individual objectives to ensure alignment to corporate and functional objectives, making adjustments if priorities have shifted.
    • Commit to collaborate.   Be a strong team player and business partner cross functionally. Understand the development goals, strengths and motivators of your colleagues and partner to achieve mutual success and continuous improvement as well as professional development. 
  • Foster Spark’s Culture, Mission, Vision, and Values:  Lead by example.  Create an environment where team members thrive in our Culture by living our truths, always in compliance with applicable laws and regulations. Emphasize to employees that “how” they achieve performance objectives is just as important as “what” they accomplish.

 

Education and Experience Requirements

  • Bachelor’s degree in Engineering, , Life Sciences Information Systems, Software Engineering, Information Technology  or a related field
  • Solid understanding of Good Documentation Practices (GDP)
  • Experience working in the pharmaceutical industry or other regulated industry a plus
  • Experience with high-volume data entry is a plus

 

Key Skills, Abilities, and Competencies

  • Proficiency in Microsoft Excel
  • Strong organizational skills
  • Strong data management skills related to working with structured/unstructured data sets
  • Knowledge of data management tools and statistical analysis (SAS JMP); Experience with OSI Pi a plus.
  • Ability to show a track record of solving large, complex problems
  • Ability to adapt and thrive in fast paced, changing environment
  • Preferred: Experimental design/QbD.
  • Preferred: Experience in cell and gene therapy or viral vector production
  • Preferred: Experience and knowledge of regulatory filings
  • Preferred: Experience in regulatory inspections of manufacturing facilities
  • Proficiency in Microsoft Excel
  • Strong organizational skills

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Nearest Major Market: Philadelphia