Scientist I, MSAT Data Science, 12 month FTC
London
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MeiraGTx
MeiraGTx, a clinical-stage genetic medicine company with a global footprint, is focused on developing potentially curative treatments for patients living with serious diseases.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 field
- Advanced knowledge of Python and SQL
- Previous industrial experience in pharma/biotech in-house app development (can include internships/placements)
- Software / Database / Bioprocess model development experience
- Knowledge of at least 1 common webapp development framework
- Knowledge of dashboarding tools such as Tableau, Spotfire and PowerBI
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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
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