Data Scientist

Data Scientist
We are seeking a talented Data Scientist to join our client's dynamic Data Science team. In this role, you will play a crucial part in developing and maintaining software applications and data pipelines to support various R&D activities. You will serve as a technical support contact for scientists and collaborate across departments to build solutions that improve data accessibility, integrity, and analysis. This position offers the opportunity to work on a wide range of projects, from electronic lab notebook integrations to modelling, dashboarding, and data processing.
Key Responsibilities

• Develop well-documented and well-tested code in alignment with industry best practices
  
• Optimize existing Python-based ETL scripts to streamline the input of experimental data into the data warehouse
  
• Create and manage tools that ensure data integrity throughout the entire lifecycle
  
• Build and maintain SQL queries to improve data accessibility for scientific and operational teams
  
• Implement dashboards to support data accessibility across the R&D organization.
  
• Develop automated workflows using APIs
  
• Collaborate with data and bench scientists to establish ETL operations for AI/ML, statistical, mechanistic, and hybrid modelling efforts
  
• Support the development and deployment of models across the project lifecycle
  
• Provide technical support and training to R&D staff on in-house software tools
  
• Rigorously document all software development processes
  
• Stay up-to-date with the latest trends in data engineering and software development relevant to life sciences R&D
  What We’re looking for:
  
• Ability to manage multiple unrelated projects simultaneously, adhering to deadlines
  
• BS/MS in Computer Science, Data Science, or a related field
  
• Advanced knowledge of Python and SQL
  
• Prior experience in pharma or biotech (internships/placements included)
  
• Experience in software, database, or bioprocess model development
  
• Familiarity with web application development frameworks
  
• Experience with dashboarding tools like Tableau, Spotfire, or PowerBI
  This is an exciting opportunity for a skilled Data Scientist looking to make an impact within the life sciences sector. If you have the technical expertise and passion for R&D, apply today