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10 employees



September, 1st, 2022

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Data Scientist/Engineering Intern (f/m/d)


ArcaScience is a leading french Startup with a strong focus on building collective intelligence based on biomedical and scientific data by means of advanced machine learning technologies. Our customers are high-profile pharmaceutical companies and leading public research institutes. What we do, we do it for and by the research. Opening Science and creating new synergies, collective intelligence and empowering R&D in our troubled world are what we call our mission.

Job description

Job type: Full-time

Experience level: Junior, Mid-Level

Role: Data Scientist Intern

Industry: Biomedical data analysis, Natural Language Processing

Company size: 10-20 people

Job description (What we are looking for)

We are looking for a Data Science/Engineering intern to help improve and extend ArcaScience’s AI-based search engine. You should have an engaged personality, used to work proactively and you are passionate about your work. You enjoy broadening your horizon in order to master new technologies and like to expand your skills continuously.

Core responsabilities (You will be)

Core responsibilities (You will be)

  • Developing scalable and easily-maintainable APIs
  • Resolving the issues related to the processing of text in heterogeneous repositories and databases
  • Data engineering for advanced natural language processing
  • Data science for integrating and developing Deep Learning models

Advantages (What we do offer)

Advantages (What we do offer)

You will be working in a dynamic environment with  

  • Talented engineers
  • Knowledge of diverse issues encountered in the biomedical and pharmaceutical industries 
  • Interdisciplinary co-workers: engineers, scientists, biologists..  
  • Young and multicultural team
  • Flexible working hours with the possibility to work from home

Desired profile

Requirements & Qualifications (You have)

  • Teamwork spirit
  • Decent English. A Fluent French is a great plus
  • Decent Experience with Python 
  • Familiarity with issues related to processing unstructured, semi-structured and structured data: e.g., plain text (.txt, .docx), datasheets (xlsx, csv, tsv)
  • Knowledge of RESTful architectures and implementations
  • Basic usage of source control technology: Git, github and gitlab
  • Knowledge of machine learning technologies and platforms (e.g., Spacy, Pytorch,..)

Plusses (Would be nice, if you have)

  • Familiarity with Natural Language Processing topics (e.g., pos tagging, named entity recognition, entity linking) 
  • Open science culture
  • Entrepreneurial culture
  • Availability for afterwork drinks 

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