Skip to main content
Publiez votre CV - Laissez les employeurs vous trouver

Emplois applied scientist (Paris (75))

Trier par : -
Plus de 50 emplois
    • AQEMIA is a next-gen pharmatech company generating one of the world's fastest-growing drug discovery pipeline.
    • You’ll split your time between:
    • Voir toutes les offres de type « Emploi Aqemia », « Paris » ou Emploi Applied Scientist - Paris (75) »
    • Rechercher les salaires : Applied AI Scientist
    • Work in a collaborative and supportive environment with experienced scientists and engineers.
    • This division consists of AI research scientists with…
  • Consultez les offres d'emploi similaires de cet employeur
    • At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity.
    • We are creative, low-ego and team-spirited.
    • And scientists on top of their field to bring underwriting excellence.
    • Proficient in statistics, probabilities, applied mathematics and machine learning methods…
    • Previous experience in deep learning applied to RNA science.
    • Provide an expert reference on deep learning and how it may be applied to biological tasks.

  • Gagnez du temps

    Postulez avec un CV IndeedMettez à jour votre CV Indeed maintenant
    • Previous experience with applied energy systems modeling and/or pricing modeling is a plus.
    • Born in 2021 from the desire to make cities less polluted and…
  • Consultez les offres d'emploi similaires de cet employeur
    • Research background in machine learning, artificial intelligence, computational statistics, applied mathematics, or related areas.
    • We are looking for a staff applied scientist to join our Applied AI organization.
    • 8+ years of industry experience (applied scientist, data scientist, ML…
    • Propose, frame and lead applied research projects related to data science, ranging from data analysis to the creation of complex models.
    • You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products.
    • We are creative, low-ego and team-spirited.
  • Consultez les offres d'emploi similaires de cet employeur
    • Emerton Data is the entity of Emerton Group dedicated to digital and advanced data analytics activities, led by experienced partners in both data science & AI…
    • At Equativ, we’re on a mission to develop advertising technologies that empower our customers to reach their digital business goals.
    • What you’ll do ✏️.
    • Working with other scientists and engineers, you will supervise the research activity while being a key contributor.
    • A passionate and driven team.
    • You will work closely with Amazon scientists, and other science interns to develop solutions and deploy them into production.
    • If so, we want to hear from you!
    • Bachelor's, master's or PhD level in a discipline such as: computer science, machine learning, applied statistics, mathematics, engineering or artificial…

Job Post Details

Applied AI Scientist - job post

Aqemia
Paris (75)•Télétravail partiel
Temps plein

Détails de l'emploi

Type de poste

  • Temps plein

Lieu

Paris (75)•Télétravail partiel

Description du poste

About AQEMIA

AQEMIA is a next-gen pharmatech company generating one of the world's fastest-growing drug discovery pipeline.
Our mission is to design fast innovative drug candidates for dozens of critical diseases, such as immuno-oncology.
Our unique approach leverages quantum-inspired physics algorithms to power generative AI in designing novel drug candidates—without relying on experimental data.

We already delivered several drug discovery successes within our internal pipeline and through collaborations with pharmaceutical companies. Our most advanced programs are currently in vivo optimization.

The role
We are looking for an Applied AI Scientist to join Aqemia’s Drug Discovery Platform as an Applied AI Scientist, working at the intersection of ML and molecular science. You’ll split your time between:

50% Applied AI: Contribute directly to internal and partnered drug discovery programs by applying ML rigorously and efficiently in collaboration with chemists and project teams.

50% AI Research: Develop cutting-edge ML models (e.g., GNNs, generative models, physics-informed AI) to predict molecular properties and protein-ligand interactions.

Responsibilities:

  • Applied ML for Discovery Programs (50%)
  • Own ML workstreams: define goals, manage timelines, communicate with stakeholders.
  • Process molecular datasets and apply robust ML models (QSAR, regression, ranking).
  • Collaborate with chemists and project leads; deliver results that drive compound prioritisation.
  • Make your models and predictions easily accessible to end users ensuring practical usability in drug discovery workflows.
  • AI Research & Development (50%)
  • Design and implement novel ML algorithms (DL, GNNs, generative, physics-based models).
  • Take part in cutting-edge research and bibliographic exploration.
  • Collaborate with research and drug discovery teams to translate models into actionable insights.

Requirements:

  • Strong problem-solving skills, autonomy and a collaborative mindset.
  • MSc or PhD in Computer Science, Machine Learning, Computational Chemistry, or related field.
  • Around 3 years of experience applying ML in scientific or industrial settings.
  • Strong experience with ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn).
  • Solid Python programming skills and experience working with scientific computing libraries.
Why Join Us ?

At AQEMIA, we work for a mission: joining us means having your own impact on changing the way drugs are discovered, and helping to shape the direction of our fast-growing company and team.

Expanding Drug Discovery Pipeline : Focused on critical therapeutic areas like Oncology, CNS, Immuno-inflammation... with in vivo proof of concept/patent stage programs. Collaborations with top Pharma, including a $140M Sanofi deal.
Interdisciplinary Team : brilliant talent from tech and life sciences.
DeepTech Recognition: Part of French Tech 120 and France 2030.
Prime Location : Based in central Paris and London (King's Cross) with the possibility of 2 remote days per week.
International Environment : The work language is English - relocation support and French lessons granted if needed.
Strong Financial Backing : $100M raised from leading European and International investors
Permettez aux employeurs de vous trouver.Téléchargez votre CV