Lead Engineer at ArcaScience (Paris, France)

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

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