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Data Analyst - Job Opportunity at Phagos

Suresnes, France
Full-time
Mid-level
Posted: May 1, 2025
Hybrid
EUR 45,000 - 65,000 annually based on French biotech market rates and role sophistication

Benefits

International diverse team environment with cultural exposure
Flexible hybrid work arrangement
Professional development opportunities in cutting-edge biotechnology
Wellness program including Gymlib/EGYM Wellpass access
Free breakfast provision
Work-life balance focus

Key Responsibilities

Analyze complex biological and AI-generated datasets to extract actionable insights
Leverage data science toolsets to enhance AI tool effectiveness
Evaluate experimental results from wet lab team
Identify patterns in bacteriophage-host interactions
Generate statistical models and visualizations for biological data
Present analytical findings to cross-functional teams
Contribute to the development of anti-bacterial resistance solutions

Requirements

Education

Master's degree or PhD in quantitative field (Computational Biology, Physics, Mathematics, Statistics, or similar)

Required Skills

Python proficiency with scientific computing libraries (NumPy, Pandas/Polars, Scikit-learn) Data visualization expertise (Altair, Plotly, Matplotlib) Strong mathematical and statistical knowledge Critical analytical capabilities Excellent communication skills Interest in biology and artificial intelligence Collaborative mindset
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Sauge AI Market Intelligence

Industry Trends

The convergence of biotechnology and AI is creating a surge in demand for data analysts who can bridge both domains, particularly in the fight against antimicrobial resistance The bacteriophage therapy market is experiencing rapid growth as a potential solution to antibiotic resistance, creating unique opportunities for data specialists Increasing adoption of AI in drug discovery and development is driving demand for professionals who can handle complex biological datasets

Role Significance

Likely small, specialized team (5-10 people) given the company's startup nature and focused mission
Mid to senior-level individual contributor with significant impact on core research outcomes

Key Projects

Development of AI-driven bacteriophage identification systems Statistical analysis of experimental trial results Optimization of phage-bacteria matching algorithms Creation of predictive models for therapeutic effectiveness

Success Factors

Deep understanding of both biological processes and data analysis methodologies Ability to translate complex biological phenomena into quantitative insights Strong collaboration skills with wet lab teams Aptitude for identifying patterns in complex, multi-dimensional data

Market Demand

High and increasing due to the specialized intersection of data analysis and biotechnology

Important Skills

Critical Skills

Python with scientific libraries - Essential for handling complex biological data structures Statistical analysis - Core to understanding experimental results Biology/AI understanding - Critical for meaningful interpretation of results

Beneficial Skills

Machine learning expertise - Valuable for future project expansion Database management - Helpful for handling growing datasets Research methodology knowledge - Useful for experimental design input

Unique Aspects

Rare opportunity to work at the intersection of AI and bacteriophage therapy
Direct involvement in addressing global antibiotic resistance crisis
Exposure to both wet lab and computational aspects of biotech research

Career Growth

2-3 years potential for advancement to senior roles given the rapid growth in biotech AI sector

Potential Next Roles

Senior Data Scientist in Biotechnology Computational Biology Team Lead Bioinformatics Research Manager AI/ML Engineer in Therapeutic Development

Company Overview

Phagos

Innovative biotech startup focused on bacteriophage therapy development using AI-driven approaches

Early-stage company positioned at the cutting edge of alternative antimicrobial treatments
Based in the Paris region biotech hub with potential for international impact
Fast-paced, collaborative environment with strong emphasis on scientific innovation and cross-functional teamwork
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