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:BS/MS degree in Computer Science / Data Science or related fieldAdvanced knowledge of Python and SQL
Desired:Previous industrial experience in pharma/biotech in-house app development (can include internships/placements)Software / Database / Bioprocess model development experienceKnowledge of at least 1 common webapp development frameworkKnowledge of dashboarding tools such as Tableau, Spotfire and PowerBI
Why us?