Biomedical Ecosystem Intern

Job description

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!

Discover who we are and what we value here .

Job Description

We are looking for a Biomedical Ecosystem Intern to support our Data Partnerships efforts. Your mission will be to map the scientific and clinical ecosystem relevant to our research programs and to identify data sources that can support project delivery and internal R&D.

This is a role is focused on review of scientific literature, and data organization. You will work closely with the Partnerships team to feed their efforts with structured insights and relevant leads.

Main Missions

Scientific Ecosystem Mapping

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Identify and document key opinion leaders in immuno-inflammation

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Map leading academic centres, hospitals, and research groups with active involvement in immune-mediated diseases and omics research.

· 
Build and maintain internal knowledge bases to organize this information

Dataset & Initiative Sourcing

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Identify academic or consortium datasets with rich clinical and multi-omics data relevant to our focus areas.

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Track and document private data initiatives, public biobanks, and data-sharing initiatives (e.g., IMI, NIH, EU projects).

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Document dataset characteristics (disease, omics types, sample size, data access conditions, etc.).

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Monitor scientific literature and public databases to support the identification of relevant cohorts or data resources.

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Track emerging research consortia, clinical trials, or collaborations that align with our interests.

In addition, as we operate in a startup environment, we value adaptability. You may occasionally be asked to contribute to tasks outside of your core responsibilities. We estimate that up to 5% of your time may be dedicated to company-wide collaborative efforts.

Preferred Experience

Who we are looking for

· 
Pharm D, or master’s degree in biomedical sciences, life sciences, or related fields.

· 
Strong literature review skills and ability to extract structured information from scientific articles and databases.

· 
Strong organizational and documentation skills.

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Comfortable using digital tools (e.g., Google Sheets, Notion, Airtable, Excel) to build internal resources.

· 
Full proficiency in English

How to stand out

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You have high agency, look for solutions rather than problems and you are a team-player willing to go beyond your job description

· 
You are familiar with a start-up environment

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You have experienced with the immuno-inflammation space

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You are familiar with precision medicine and artificial intelligence

· 
You have experience in competitive intelligence, consulting, or tech scouting.

Additional Information

·  Contract Type: Internship (Between 6 and 10 months)
·  Location: Paris
·  Education Level: Master's Degree
·  Experience: < 6 months
·  Occasional remote authorized