Senior Expert – Data Science

Role Overview

• Lead efforts to establish data flows and connections from laboratory systems to our data science platform
• Drive cross-functional collaboration across various business domains, including IT, engineering, laboratory teams, to identify data sources and develop data extraction methods that ensure data integrity and security
• Quickly learn the use of tools, data sources, and analytical techniques needed to answer a wide range of critical business and scientific questions
• Design and implement data pipelines to ingest, clean, and transform raw data for analysis
• Leverage statistical and machine learning techniques to analyze integrated data sets, both structured and unstructured, extracting valuable insights into biopharmaceutical manufacturing processes
• Communicate analytical findings to business users through compelling business presentations, interactive visualization tools, and contextual storytelling techniques, ensuring a clear and impactful understanding of the derived insights from data analysis
• Develop and maintain data models and schemas to support ongoing data analysis and reporting needs
• Be adaptable in providing support for a wide array of assessments, including process comparability, when necessary
• Stay abreast of advancements in data technologies and best practices, recommending and implementing improvements to data infrastructure, models, and techniques as needed
• Actively participate in data projects, defining scope, timelines, and resource allocation, ensuring successful execution
• Collaborate proactively with team members to plan, anticipate change, manage stakeholders, identify risks, and resolve issues

Requirements

• Expert Level: A minimum of a Bachelor's Degree with 4 years / Masters Degree with 2 years / Recent PhD
• Senior Expert Level: A minimum of Bachelor's Degree with 7 years / Masters Degree with 5 years/ PhD with 2 years of experience or dedicated postdoc / graduate training in the field of bioprocess or data science
• Proficiency in programming languages such as Python or R
• Strong understanding of modeling and statistical concepts
• Training and experience demonstrating proficiency in data management
• Excellent teamwork and communication skills, with a collaborative and proactive approach to problem-solving
• Strong analytical and problem-solving skills, with the ability to interpret and communicate findings effectively to both technical and non-technical stakeholders.

Tech Stack

• Python

Benefits

• Comprehensive benefits package including health, life and disability benefits
• 401(k) with company contribution and match
• Generous time off package including vacation, personal days, holidays and other leaves
• Performance-based cash incentive
• Eligibility for annual equity awards