Lead Engineer at ArcaScience

Posted on: 10/13/2021

Location: Paris (ON-SITE)

full time

Original Source

Tags: etl python

Job type: Full-time Experience level: Mid-Level / Senior Industry: Biomedical data analysis, Natural Language Processing Company size: 10-15 people Equity provided as part of the compensation package ArcaScience is a leading French Startup committed to solving some of the biggest health challenges of our time, building AI-based tools to interpret, aggregate and structure scientific and biomedical data. Our customers are high-profile pharmaceutical companies and leading public research institutes. What we do, we do it for and by the research. We are looking for a Lead Engineer to improve and industrialize our solution, and oversee all aspects of development: Data pipelines (Machine Learning, ETL), Back-end and Front-end. As we are a small company, this also involves a fair amount of coding, but also running demos, seeing clients, and deciding on the company strategy and technical roadmap. **Roles and Responsibilities** * Help turn cutting-edge AI algorithms into actually usable features. * Make technical choices related to the development of the solution, to architecture, hosting, etc. * Design and implement best practices for a scalable, maintainable solution * Build the technical roadmap - translate business needs into features, and decide which of them are worth focusing energy on * Design and specify new features, both back-end (data pipeline, data structure) and front-end (data visualisation, search, navigation) * Organize and manage developments, both internal and external * Ensure that all services are running properly **Desired Profile** * Experience building large projects * Solid knowledge of Python * Experience in Web Development, both back-end and front-end * Experience in project management * Experience with Data Pipelines, Data Engineering and associated issues * Management Experience **Nice Plusses** * Comfort in Java * Understanding of the Pharmaceutical industry. * Knowledge of Machine Learning and Natural Language Processing * Interest in Data Science and Data visualisation * Open science culture * Entrepreneurial culture * Availability for afterwork drinks You will be working in a dynamic environment with * R&D driven engineering: working on cutting-edge AI technologies to accelerate finding, improving and comparing cures and vaccines * Dynamic issues: pushing the limit of your knowledge with constantly new challenges * Interdisciplinary co-workers: engineers, scientists, biologists.. * Talented engineers * Young and multicultural team * Flexible working hours with the possibility to work from home * Rewarding remuneration: depending on your profile, your engagement and efficiency