Scientist I, MSAT Data Science, 12 month FTC

London

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Your mission

As part of the Data Science team the Scientist I, MSAT Data Science will develop and maintain software applications and data pipelines to support R&D activities as well as serving as a technical support contact for scientists. These span a wide range of areas including electronic lab notebook integrations, data capture and storage, results processing, modelling and dashboarding.

Job Description

Major Activities

  • Write well-documented and well-tested code that follows company best practices
  • Optimise existing ETL Python scripts to enhance the input of experimental data into the data warehouse
  • Develop tools to maintain and ensure data integrity throughout the data lifecycle
  • Develop SQL queries to improve data accessibility for operational and scientific user-groups
  • Implement dashboards to improve data accessibility across the R&D organisation
  • Develop automated workflows for existing APIs
  • Establish data extraction, transformation and loading (ETL) operations for AI/ML / statistical / mechanistic / hybrid modelling efforts in collaboration with data scientists and bench scientists
  • Support models across the development lifecycle from implementation to distribution
  • Serve as a part of the technical support team for software utilised by R&D staff
  • Train end-users on adequate use of tools released for general use
  • Rigorous documentation of all software development processes
  • Maintain up-to-date knowledge on state of the art data engineering and software development practices applicable to life sciences R&D
 

Key Performance Indicators

  • Accurately and effectively translate user requirements into successful in-house apps and data pipelines
  • Timely prioritisation and resolution of user- reported bugs / requested enhancements
  • Working on multiple unrelated projects concurrently while adhering to agreed timelines
 

Key Job Competencies

  • Problem Solving - Identifies and resolves problems in a timely manner; gathers and analyzes information skillfully; develops alternative solutions; works well in group problem solving situations; uses reason even when dealing with emotional topics.
  • Motivation - sets and achieves challenging goals; demonstrates persistence and overcomes obstacles; measures self against standard of excellence.
  • Planning/Organizing - prioritizes and plans work activities; uses time efficiently; plans for additional resources; sets goals and objectives; organizes or schedules other people and their tasks; develops realistic action plans.
  • Professionalism - works well under pressure; treats others with respect and consideration regardless of their status or position; accepts responsibility for own actions; follows through on commitments.
  • Innovation - displays original thinking and creativity; meets challenges with resourcefulness; generates suggestions for improving work; develops innovative approaches and ideas.
  • Oral Communication - speak clearly and persuasively in positive or negative situations; listens and gets clarification; responds well to questions; demonstrates good presentation skills; participates effectively in meetings.
  • Written Communication - writes clearly and informatively; edits work for spelling and grammar; varies writing style to meet needs; presents numerical data effectively
 

Job Responsibilities


No direct reports.
 

Job Background


Essential:
  1. BS/MS degree in Computer Science / Data Science or related field
  2. Advanced knowledge of Python and SQL
Desired:
  1. Previous industrial experience in pharma/biotech in-house app development (can include internships/placements)
  2. Software / Database / Bioprocess model development experience
  3. Knowledge of at least 1 common webapp development framework
  4. Knowledge of dashboarding tools such as Tableau, Spotfire and PowerBI
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Data Science Jobs

Tags: APIs Computer Science Data pipelines Data warehouse Engineering ETL Industrial Machine Learning ML models Pharma Pipelines Power BI Python R R&D Spotfire SQL Statistics Tableau

Region: Europe
Country: United Kingdom

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