Associate Director, CMC Data Science

ReplimuneFramingham, MA
$160,000 - $207,500Onsite

About The Position

Replimune’s mission is to revolutionize cancer treatment with therapies designed to activate a powerful and durable full-body anti-tumor response, boldly transforming cancer care because patient’s lives depend on it. At Replimune, we live by our values: United: We Collaborate for a Common Goal. Audacious: We Are Bold. Dedicated: We Give Our Full Commitment. Candid: We Are Honest With Each Other. People are at the center of everything we do, and when it comes to our employees, we make it personal. With a deep sense of purpose, a strong and evolving culture, a competitive and forward-looking total rewards program, everyone at Replimune has a unique opportunity to impact on the lives of patients, caregivers and themselves. Join us, as we reshape the future. The Associate Director of CMC Data Science will work with cross-functional teams while applying the appropriate science-based techniques to: support / creation of cGMP process monitoring capabilities, design statistically sound lab-based experiments, solve operations and business problems, support integration AI into CMC workflows in a compliant manner, and manage the CMC Data Science team. This position is based in our Framingham location and typically has a 5-day on-site expectation.

Requirements

  • Minimum of 4 year working in data science role, preferably in support of biologics CMC.
  • Expert in statistical analysis, predictive modelling, and data visualization tools
  • Experience with at least one data management system (data lake, data warehouse, or data lake house)
  • Experience with ML/AI integration into CMC workflow(s)
  • Demonstrated ability to work in cross-functional teams across the business.
  • Strong organizational skills and attention to detail.
  • Experience as a people manager
  • Excellent written and oral communication skills and strong team player

Responsibilities

  • CMC Statistical Lead and point of contact for statistical analysis requests across the CMC organizations
  • Provide technical expertise and support to serve as an authority in GMP process monitoring (CPV) and key contributor to commercial annual product reports.
  • Working with IT, serve as a team leader / project lead for the creation of data repository for all CMC data (e.g. electronic data warehouse)
  • Identify data flow issues working with end customers to understand needs and deliver short term and long-term solutions to help scientist/engineers/managers complete their deliverables in an agile manner
  • Working with site / group leaders create tools to better visualize potential risks and issues to critical CMC workflows
  • Work with cross functional customers to embed AI-enabled CMC business processes into existing workflows to improve efficiency, decision-making, and innovation
  • Create / advise on DOEs to be used within lab-based experiments supporting both drug substance and drug product production.
  • Drive continuous improvement in our cGMP process steps by identifying process improvements
  • Actively contribute to cross functional teams to achieve production site and company goals in support of commercial production readiness
  • Manage the members of the data science group to perform similar key responsibilities
  • Ensure that all data science team members comply with the data governance strategy for operations to better enable data consumers to find, access, and use data
  • Practices and promotes safe work habits and adheres to safety procedures and guidelines.
  • Provide technical representation during internal and external audits.
  • Keeps up to date with current technologies and trends in biologics manufacturing operations and CMC data trending / warehousing / visualization tools and applications.
  • Additional duties and responsibilities as required

Benefits

  • medical, dental, and vision insurance
  • 401k match
  • flexible time off
  • a number of paid holidays including year-end shutdown
  • annual performance incentive bonus
  • new hire equity
  • ongoing performance-based equity
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