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

Job Background

1. BS/MS degree in Computer Science / Data Science or related field
2. Advanced knowledge of Python and SQL

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