COMPUTATIONAL BIOLOGIST

About

Scienta Lab is a deeptech company harnessing artificial intelligence to transform the drug discovery and development process in immunology and inflammation.

With its unique and proprietary EVA foundation model dedicated to immune-mediated diseases, Scienta Lab leverages multimodal data to bridge the gap of translational research, accelerate the validation of new therapeutic targets and the development of personalized treatments. The company’s research activities, led in partnership with top-tier academic institutions across Europe, are regularly featured in medical journals and international congresses.

Scienta Lab is based in Biolabs Hôtel Dieu and has been selected amongst the 2023 edition of the Future 40 program which rewards the most promising startups of Station F each year. In December 2023, the company announced a seed round of € 4M from CentraleSupélec Venture and a team of world-class business angels and is thus seeking for top talents to accelerate its development. In June 2025, Scienta Lab was laureate of the EIC Accelerator program, selected as one of the most innovative deeptech startups across Europe, providing a significant funding to the company.

We are a team with diverse backgrounds in AI, Computational Biology, Immunology and pharma industry, with half the company with PhDs. Join us and be a part of our exciting journey to unravel the mysteries of the immune system!

Job Description

Discover who we are and what we value here.

As a customer-oriented Computational Biologist at Scienta Lab, you will serve as the scientific bridge between our cutting-edge AI models and our pharmaceutical and biotech partners. You will lead biomedical and omics analyses using our EVA foundation model, translating complex computational insights into actionable biological understanding for our clients, in projects around biomarker discovery, target identification or patients’ stratification. Your role combines expertise of biological data, including RNAseq, clinical or histological data, with communication skills to drive adoption and success of our AI-driven solutions, and make sure we address accurately our customer scientific questions.

You will collaborate with immunologists, AI research scientists and computational biologists in a multi-disciplinary environment.

We value high-level coding and research and aim to develop a culture of continuous improvement in the team. We implement good practices to deliver production-ready software and top-tier scientific publications in these areas. This position offers excellent mentorship and growth opportunities.

Main Missions

• Leverage Scienta Lab’s foundation model EVA to answer biopharma scientific questions by fine-tuning it on adequate data and providing key insights on immune-mediated diseases mechanisms, and drug mechanisms of actions.
• Execute comprehensive analyses leveraging computational tools and databases at your disposal, and iterate on results based on customers feedback, sometimes under short deadlines
• Participate in client meetings, proposal development, and proof-of-concept studies to demonstrate our models’ capabilities and scientific value
  
  

Preferred Experience

Who we are looking for

• Degree (Master's or PhD) in Computational Biology, Computer Science, Bioinformatics, or related field
• Experience with biomedical data analysis including quality control, differential expression, and adequate processing and visualization, with a focus on RNAseq data
• Excellent communication skills for presenting complex scientific concepts to diverse audiences
• You are willing to go the extra mile to meet customer needs, whether that means diving deeper into analyses, providing additional context for results, or adapting your approach to address specific client requirements and timelines
• Solid software engineering skills including Python proficiency, version control (Git), testing, and CI/CD practices
  
  

How To Stand Out

• You have high agency, look for solutions rather than problems and you are a team-player willing to go beyond your job description
• Experience in pharmaceutical or biotech industry, particularly in client-oriented roles
• You are experienced in working in dynamic and changing environments such as startups
• Familiarity with immunology and inflammation biology and ability to interpret transcriptomic data in biological context
  
  

Additional Information

• Contract Type: Full-Time
• Location: Paris
• Occasional remote authorized