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Data Analyst

Join our dynamic and growing team as a Data Analyst! In this role, you will leverage the toolset developed by our data scientists and biological data generated by our wet lab team to extract meaningful insights that enhance the impact of our AI tools. You will work with large, complex biological datasets and contribute to the fight against antibiotic resistance. Candidates should have a Master's degree or PhD in a quantitative field, proficiency in Python, strong analytical capabilities, excellent communication skills, and a strong interest in the interplay of biology and artificial intelligence.

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Job summary
Permanent contract
Suresnes
A few days at home
Salary: Not specified
Skills & expertise
Collaboration and teamwork
Plotly
Pandas
NumPy
Python
Key missions

Extract meaningful insights from complex biological datasets to enhance the impact of AI tools.

Identify areas for improvement in the data analysis process and contribute to the development of innovative solutions.

Collaborate with the wet lab team and data scientists to leverage their toolset and biological data for analysis.

Phagos
Phagos

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Questions and answers about the job

The position

Job description

Are you passionate about uncovering hidden insights in complex data? Do you want to be our “data detective” and drive innovation at the crossroad between biotechnology and AI? Join our dynamic and growing team!

We are seeking a talented and motivated Data Analyst to join our team!!
In this exciting role, you will leverage the toolset developed by our data scientists, combined with biological data generated directly by our wet lab team.
Your mission will be to extract meaningful insights that enhance the impact of our AI tools, identify areas for improvement, and ultimately contribute to use bacteriophages to defeat antibiotic resistance!

This position is perfect for someone who thrives on challenges!
You’ll work with large, complex biological datasets – a mix of experimental results from the lab and AI-generated data. Navigating the unique complexities of this data is challenging, but the rewards are immense. Crucial “secrets” about bacteriophages and their host interactions lie hidden within, waiting for your analytical skills to unlock them!


Preferred experience

We are looking for candidates who possess:

- A Master’s degree or a PhD in a quantitative field (e.g., Computational Biology, Physics, Mathematics, Statistics, or similar).

- Proficiency in Python, particularly with scientific computing libraries (such as NumPy, Pandas/Polars, Scikit-learn) and data visualization tools (e.g., Altair, Plotly, Matplotlib).

- Strong analytical capabilities grounded in solid mathematical and statistical knowledge.

- The ability to critically evaluate data, generate robust insights backed by sound statistical methods and models, and autonomously navigate situations when multiple analytical approaches are acceptable.

- Excellent communication skills to clearly present findings and complex results.

- A strong interest in the interplay of biology and artificial intelligence is essential. Previous experience analyzing biological, AI-related data is a significant advantage.

- A collaborative spirit: As part of a small, rapidly expanding team, transparent communication, mutual respect, and a supportive attitude are crucial.


Recruitment process

First interview with HR, second interview with Manager/CTO for technical questions and last tour with CEO and team members for company fit.

What We offer?

International Culture: Be part of a global, diverse team united by a shared vision for impactful biotechnology.

Impactful Work: Play a key role in processes that directly contribute to innovative biotechnologies changing the field.

Hybrid Work: Enjoy flexibility with a combination of remote work and collaborative time in our office.

Growth & Learning: Gain valuable experience in a fast-paced, cutting-edge environment with opportunities for professional development.

Well-being Perks: Benefit from perks like free breakfast, access to sports activities (Gymlib/EGYM Wellpass), and a culture that promotes a healthy work-life balance.

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