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Senior AI Research Scientist

Scienta Lab is hiring!

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

As a Senior AI Research Scientist specializing in generative models at Scienta Lab, you will lead the development of next-generation AI approaches to model and generate biological data for drug discovery applications. You will spearhead research into novel generative architectures that can synthesize realistic biological scenarios, predict drug responses, and generate hypothetical therapeutic interventions in immune-inflammatory diseases.

Working at the intersection of cutting-edge AI and computational biology, you will expand our EVA foundation model capabilities by incorporating advanced generative techniques. Your research will directly contribute to accelerating drug discovery by enabling the simulation of complex biological systems and the generation of novel therapeutic hypotheses You will collaborate with immunologists, computational biologists, and ML engineers in a multi-disciplinary environment, leading high-impact research projects that bridge theoretical advances in generative AI with practical applications in precision medicine.

We value scientific rigor, innovation, and aim to publish breakthrough research in top-tier venues. This position offers exceptional opportunities for leadership, mentorship, and driving the scientific direction of our AI research program.

Main Missions:

  • Lead the development of novel generative architectures (diffusion models, VAEs, GANs, flow-based models) specifically tailored for biological data modalities including transcriptomics, proteomics, and clinical data

  • Design and implement generative models that can synthesize realistic patient profiles, drug response scenarios, and disease progression trajectories to augment training datasets and enable what-if analyses

  • Lead authorship on high-impact publications in top-tier AI and computational biology venues, represent the company at international conferences and workshops

  • Guide junior researchers and collaborate with computational biologists to translate generative AI advances into practical drug discovery applications

  • Translate research ideas into practical applications of our foundation model, to impact the way drugs are developed today in immunology and inflammation

Preferred Experience

Who we are looking for

  • PhD in Machine Learning, Computer Science, Statistics, or related quantitative field with focus on generative models

  • 5+ years of research experience with strong publication record in top-tier venues (NeurIPS, ICML, ICLR, Nature Methods, Nature Machine Intelligence, or equivalent)

  • Expert-level Python programming, extensive experience with PyTorch or JAX, and familiarity with distributed training and GPU optimization

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

  • Prior work with genomics, transcriptomics, proteomics, or other high-dimensional biological datasets

  • Experience with multimodal generative models and cross-modal generation

  • You are experienced in working in dynamic, changing and ambiguous environments such as startups, with rapid iterations

Additional Information

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