Science AI research intern: chemistry analysis pipeline Paris, France

Biolevate; Paris; Hybrid; EUR 13,000 - 20,000; Part time

Benefits offered by this job

Stock options

Paris - Station F campus

Flexible work arrangements

Job summary

Biolevate in Paris seeks an AI research intern to build a chemistry analysis pipeline for generating therapeutic molecules and a retrosynthesis module for planning chemical routes. You will explore state-of-the-art chemistry models, develop generation/transformation systems using SMILES, graphs, and 3D representations, and apply ADMET filters.

You’ll connect targets with proposed synthetic routes in a collaborative setting.

Qualifications

• Pursuing a degree in chemistry, computational chemistry, or a related field.
• Interest in AI for drug discovery and biomedical applications.
• Ability to work in a collaborative, research-focused environment.

Responsibilities

• Explore state-of-the-art chemistry models and identify relevant approaches.
• Develop a molecular generation/transformation system using SMILES, graphs, and 3D representations.
• Integrate pharmacological filters including ADMET and drug-likeness assessment.
• Develop a retrosynthesis and chemical planning system and provide interfaces to connect targets with candidate molecules.

Skills

Chemistry models

Molecular generation

ADMET filters

Retrosynthesis planning

Education

Intern level

Tools

SMILES

Molecular graphs

3D structures

Job description

Want to boost your career at the intersection of AI, science and industry?

AI research intern: chemistry analysis pipeline

Science Paris, France

Employment Internship

Level Intern

About

Biolevate builds AI-powered software that turns unstructured scientific data into reliable, collaborative workflows for medical writing and regulatory work. Our platform helps scientists, clinicians and medical writers move faster while maintaining the rigor their work demands.

Founded in Paris in 2024, we combine a commercial SaaS platform with in-house research in oncology and dermatology. It is an unusually practical place to work on AI: the systems we build are used both to advance scientific research and to help bring therapies to patients faster.

Biolevate Science team

At Biolevate, the Science team is building a new way to think about biology. We start from a simple conviction: disease is not random chaos, but a biological language - a logic of how life adapts, resists, and reorganises under pressure. Our scientists use advanced multi-omics reasoning to listen to this language across genes, RNAs, proteins, pathways, and clinical context, and to reconstruct the rules that drive health and disease.

Rather than generating ever more lists of genes, we work to integrate diverse biological layers into coherent programs and convert them into testable, traceable hypotheses. This helps us identify mechanistic patient subgroups, uncover hidden regulators of response and resistance, and prioritise therapeutic targets with a clear biological rationale. Along the way, we rely on platforms like OCEAN to support a more explicit and structured way of reasoning through complex biology.

The goal is always to close the loop: we design experiments, validate hypotheses in cellular and ex vivo models, and translate what we learn into patents, biomarkers, new targets, and smarter trial strategies. In practice, this means moving from data to decisions - using evidence that is mechanistically grounded, auditable, and strong enough to support real R&D choices.

Within a few years, this approach has already contributed to a growing patent portfolio, redefined disease logic in oncology, and uncovered patient categories invisible to genetics alone. At Biolevate, scientists remain in control of meaning while AI expands their capacity to explore, explain, and anticipate biology’s logic. Together, we are building a shared intelligence of biology - one that connects discovery to real clinical impact for patients.

Role overview

You will develop a specific AI chemistry pipeline for the generation of therapeutic molecules to target specific elements and create a retrosynthesis module for chemical planification.

The goal is to extend and improve our drug discovery pipeline through the use of chemistry related models (or training if flaws are identified with existing open source ones). It will allow us to harmonise our multiomics target discovery system with an extensive and operable pipeline with a capacity of molecular proposition and chemical faisability assessments.

Internship goals

• Explore SOTA chemistry models, including chemistry-focused LLMs , and identify the most relevant approaches;
• Develop a molecular generation/transformation system from molecular representations including SMILES, molecular graphs and, where relevant, 3D structural representations ;
• Integrate pharmacological filters including ADMET and drug-likeness assessment ;
• Develop a retrosynthesis and chemical planning system, including reaction prediction/optimization where relevant , and provide a simple interface connecting prioritized biological targets with candidate molecules and proposed synthetic routes.

Why Biolevate

• Meaningful mission: We are building a new way to understand biology - one that treats disease as a causal, mechanistic system rather than a collection of disconnected signals. As a researcher at Biolevate, your work helps turn complex biological data into clearer hypotheses, sharper questions, and more relevant scientific insight.
• Scientific impact: Your research will contribute directly to the discovery of mechanistic patient subgroups, actionable targets, biomarkers, and smarter trial strategies. The work is not theoretical for its own sake: it is designed to move from biological signal to meaningful scientific and clinical decisions.
• Deep biological reasoning: You will work with a platform built to integrate multi-layer evidence across omics, pathways, network logic, literature, and pharmacology. That means less time spent navigating fragmented data and more time uncovering true drivers, hidden regulators, resistance mechanisms, and the biological context that gives results meaning.
• Rigor and traceability: Biolevate is a place for researchers who care about evidence quality. We value explicit reasoning, ranked evidence, auditable logic, and testable hypotheses - so the science is not only insightful, but defensible and reproducible.
• Close collaboration and partnership: Research here does not stop at analysis. We work in close partnership with internal teams and external collaborators to turn biological insight into shared next steps, aligned interpretation, and the stronger scientific decisions. That creates a true loop between computation, biology, and collective problem-solving.
• Ownership and growth: You will have the opportunity to shape how new biology is discovered and interpreted, with room to influence methods, standards, and scientific direction as the company grows.
• Paris-based deeptech environment: Join a team working at the intersection of biology, data, and decision intelligence in a strong French deeptech ecosystem - with the ambition to create tools and insights that matter globally.

Life at Biolevate

We value authenticity and benevolence. Every team member contributes their unique background and life journey, which makes us a stronger collective. Beyond work, we genuinely enjoy spending time together, team dinners, weekend treks, sport sessions, offsites, and many shared experiences that build strong bonds.

What we offer

At Biolevate, you’ll be part of a dynamic, international team shaping the future of drug discovery and medical innovation. We combine deep science, cutting-edge AI, and internal research to deliver real-world impact. Join us to build a global brand with purpose and grow in a high-trust, high-growth environment with a compelling package that includes stock options.

• Attractive Financial Package:We offer a compelling package - includes a competitive salary and stock options- that recognizes your skills and experience, ensuring you feel valued for your contributions to our innovative projects.
• Private Office -Station F , the world’s largest startup campus, in Paris.
• Flexible Work Arrangements:We support work-life balance with flexible working hours and options for remote or hybrid work arrangements, understanding the value of flexibility in today's dynamic world.
• Collaborative & International Culture:Experience a positive, inclusive, and collaborative work environment. We value each team member’s contribution and encourage sharing ideas and feedback.
• Authentic Team Culture: We value authenticity and benevolence. Our diverse backgrounds make us stronger, and we enjoy building real connections through team moments like dinners, sports, offsites, and share experiences.

Interview Process

Our hiring process can be adapted when needed, but generally includes the following steps :

• First screening interview (visio)
• Meet the Biolevate team at Station F and meet founders
• Internal review
• Offer

Data Protection Notice

By submitting your application, you consent to Biolevate collecting and processing your personal data for recruitment purposes. We process your data in accordance with the General Data Protection Regulation (GDPR) and applicable data protection laws.

Data collected: Name, contact details, CV, cover letter, and any information you provide during the recruitment process.

Purpose: To evaluate your candidacy for current and future positions within our organization.

Retention: Your data will be retained for a maximum of 24 months after your last interaction with us. If you are not selected, your data will be anonymized or deleted upon request or at the end of this retention period.

Your rights: You have the right to access, rectify, delete, or request portability of your data. You may also withdraw your consent at any time. To exercise these rights, please contact us at [e-mail] .

Your data is stored securely and will not be shared with third parties without your explicit consent, except as required by law.