Data Engineer Intern

Key Skills

Business Development, Data pipelines, DevOps, NoSQL, NumPy, PyTorch, SQL, Tableau

Job Description

At Aqemia you will work in a multi-disciplinary team of passionate drug hunters, AI engineers and developers who are committed to our mission of finding many drugs, at high pace, to cure diseases.

As part of our growing team, you will enjoy a fast-paced, challenging, science-driven and creative environment, working at the very forefront of AI & Deep physics-powered drug discovery. This is a tremendous opportunity to bring your own impact on changing the way medicines are discovered and be involved in shaping the direction of our fast growing business and team.

We are looking for highly skilled and collaborative individuals who are naturally curious, have a passion for learning and solving complex problems with a “can-do” mindset.

If this sounds exciting to you, come and join us!

The difference you’ll make

The team's main objective: harness vast volumes of data coming from multiple scientific disciplines to identify new drug opportunities.

Our Data Engineering team:

• Designs, builds and runs our data stack processing large volumes of complex and heterogeneous data (chemical, biological, medical and physical) from internal and external sources.
• Models these wide, complex knowledges in innovative ways (e.g. in a knowledge graph).
• Assesses Aqemia’s core technology by confronting it against external data on numerous aspects and provides areas for improvement.

To deliver on this exciting goal, the data engineering team is at the crossroads of the different teams within Aqemia, whether drug discovery or tech teams, and it leverages multiple areas of expertise:

• Data and software engineering.
• Strong understanding of drug design, chemistry and biology.
• Data science.

Job description

As a Data Engineer Intern within the data team, you will contribute to deliver on the following goals:

• Provide all Aqemia's teams with curated, reliable, easy-to-access data.
• Automate data ingestion and monitoring on large and various datasets.
• Build reliable software used by Aqemia’s main product.

What You’ll Do

As a data engineer intern, within the data team, you will:

• Contribute to build a relevant data stack for Aqemia.
• Design and implement effective data pipelines and storage allowing to import, store and make available cleansed external and internal data.
• Design and implement tools to query and visualize our data.
• Develop the relevant tools to analyze and monitor Aqemia's data assets.

Who You Are

• You have strong technical abilities combined with a passion for delivering results.
• You possess strong written and verbal communication skills and a high intellectual curiosity with ability to learn new frameworks and technologies.
• You are seeking an end of studies internship in a challenging environment.

This is an end of scholarity internship and it will last at least 4-6 months, and can start anytime between January and June 2024.

Our Workplace Environment

• Fast-paced, intellectually and scientifically demanding, results-driven.
• Our Founders boast : 10+ years experience in research at Ecole Normale Supérieure in Paris, not to mention a stint in Oxford and Cambridge / 10+ years experience in strategy consulting at BCG.
• Aqemia has a rapidly growing team of +50 people from world-class institutions (AstraZeneca, GSK, Sanofi, Harvard, Ecole Normale Supérieure, Ecole Polytechnique, BCG)
• Our premises are conveniently located in the center of Paris (1 Bd Pasteur), with a possibility of up to 2 days of remote work.
• We are part of the French Tech 2030 program (https://lafrenchtech.com/fr/la-france-aide-les-startup/french-tech-2030/).

 Working language: English

We are growing fast, if you feel that you don't fit this job description but you’re still excited to join, then please get in touch!

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Aqemia is an Equal Employment Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender perception or identity, national origin, age, marital status, disability status or any other basis under applicable law.