Job description

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

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