Paris, Ile-de-France, France · Hybrid
About AQEMIA AQEMIA is a drug invention company dedicated to creating entirely new medicines to address major unmet medical needs. At the core of our mission is QEMI, our proprietary molecule-invention platform, which un…
Skills: Engineering Leadership, People Management, Distributed Systems, Cloud-Native Applications, Python
Paris, Ile-de-France, France · Hybrid
TLDR: We're looking for a research scientist to build autonomous, large-scale environments that push LLM agents (single and multi-agent) to failure, and study how they actually break. About us White Circle is an AI Safet…
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Paris, Ile-de-France, France · On-site
This project involves scale-up of family planning services in 400 – 500 public health facilities in all LGAs in each state through provision of technical assistance to the Government on capacity building, state-wide dema…
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Paris, Ile-de-France, France · Hybrid
$150k–$250k/yr
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Skills: Python, LLM Benchmarking, Synthetic Data Generation, LLM Inference, AI Safety
Paris, Ile-de-France, France · Hybrid
À propos de ChapsVision En quelques années, ChapsVision s’est imposé comme un acteur européen de référence du Big Data et de l’Intelligence Artificielle. Notre ambition : permettre aux entreprises et aux organisations pu…
Skills: Python, Natural Language Processing, Large Language Models, Neural Machine Translation, Command Line
Paris, Ile-de-France, France · Hybrid
À propos de ChapsVision En quelques années, ChapsVision s’est imposé comme un acteur européen de référence du Big Data et de l’Intelligence Artificielle. Notre ambition : permettre aux entreprises et aux organisations pu…
Skills: NLP, Python, Machine translation, LLMs, Linguistic analysis
Paris, Ile-de-France, France · Hybrid
À propos de ChapsVision En quelques années, ChapsVision s’est imposé comme un acteur européen de référence du Big Data et de l’Intelligence Artificielle. Notre ambition : permettre aux entreprises et aux organisations pu…
Skills: NLP, Python, LLMs, Machine translation, Linguistic analysis
Paris, Ile-de-France, France · Hybrid
À propos de ChapsVision En quelques années, ChapsVision s’est imposé comme un acteur européen de référence du Big Data et de l’Intelligence Artificielle. Notre ambition : permettre aux entreprises et aux organisations pu…
Skills: Python, Natural Language Processing, Large Language Models, Neural Machine Translation, Command Line
Paris, Ile-de-France, France · Hybrid
About Us Spore.Bio is a deeptech start-up born in 2023, building a new paradigm in the quality control systems in Food&Beverage, Cosmetics, and Pharmaceutics factories. After spending a lot of time in factories environme…
Skills: Field Service Engineering, Systems Engineering, Optronics, Mechatronics, Instrumentation
Paris, Ile-de-France, France · Hybrid
$35k–$40k/yr
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Skills: Project Management, Medical Device Regulations, Quality Management Systems, Competency Assessment, Resource Qualification
Paris, Ile-de-France, France · Remote Solely
Company Description TELUS Digital is at the forefront of creating and enhancing the world's data to enable better AI via human intelligence. By providing enriched data through a skilled team of AI specialists and a manag…
Skills: Analytical Thinking, Online Research, French Fluency, English Fluency, Data Annotation
Paris, Ile-de-France, France · Remote Solely
Company Description TELUS Digital is at the forefront of creating and enhancing the world's data to enable better AI via human intelligence. By providing enriched data through a skilled team of AI specialists and a manag…
Skills: Analytical Thinking, Online Research, Quality Assurance, Content Moderation, Data Annotation
Paris, Ile-de-France, France · Hybrid
CRA II , FSP Model , Paris Hybrid or Home Based. Productivity Bonus and Good benefits. ICON is a global healthcare intelligence and clinical research organisation united by a mission to bring new medicines and treatments…
Skills: Clinical Trial Monitoring, ICH-GCP Compliance, Site Management, Data Integrity, Regulatory Submissions
Paris, Ile-de-France, France · On-site
Title: Délégué hospitalier - Oncologie - Nord de la France H/F Company: Ipsen Pharma (SAS) About Ipsen: Ipsen is a mid-sized global biopharmaceutical company with a focus on transformative medicines in three therapeutic …
Skills: Medical Detailing, Oncology Knowledge, KOL Management, Pharmaceutical Promotion, Market Analysis
Paris, Ile-de-France, France · On-site
Your Mission As Data & ML Infrastructure Lead, you will own and scale the data backbone of UMA: the systems that record, store, version, serve, and visualize the data our robots produce, and the infrastructure that turns…
Skills: Data Infrastructure, ML Infrastructure, Distributed Data Processing, Workflow Orchestration, Python
Paris, Ile-de-France, France · On-site
Company Description Ubisoft est une référence mondiale du jeu vidéo, avec des équipes réparties aux quatre coins du monde qui créent des expériences de jeu originales et mémorables, de Assassin’s Creed à Rainbow Six en p…
Skills: Python, Tensorflow, PyTorch, Pyspark, Statistics
Paris, Ile-de-France, France · On-site
Description de l'entreprise Les Hôpitaux Paris Saint-Joseph (Paris 14e) et Marie-Lannelongue (Le Plessis-Robinson - 92) forment un groupement hospitalier privé à but non lucratif, rattaché à la Fondation Hôpital Saint-Jo…
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Les Loges-en-Josas, Ile-de-France, France · On-site
Au carrefour de la physique et de l’ingénierie, votre savoir-faire en modélisation CFD est déterminant. Vous contribuerez à des projets d'innovation à haute valeur ajoutée, avec un accent particulier sur les équipements …
Skills: CFD Modeling, Fluid Mechanics, Heat Transfer, Multiphase Flows, Python
Paris, Ile-de-France, France · Hybrid
Type de recrutement : CDD Domaine de compétences : Économie et statistique Ville : Paris Département : Paris Description du poste: vos activités : -Participer en tant que « data scientist » au travail de l’éq…
Skills: Data Analysis, SAS, R, Python, Finance
Paris, Ile-de-France, France · Remote OK
Paris homebased Senior CRA role ICON is a global healthcare intelligence and clinical research organisation united by a mission to bring new medicines and treatments to patients faster. As a values-driven organisation, i…
Skills: Clinical Trial Monitoring, Good Clinical Practice (GCP), Site Management, Regulatory Compliance, Data Integrity
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Lead and grow the Compute Engineering team by mentoring engineers and recruiting top talent. Drive the delivery of the compute platform roadmap to support scientific simulations and AI workloads while ensuring operational excellence.
Requires 8+ years of software engineering experience with a proven track record in people management and building scalable production systems. Proficiency in Python, AWS, Kubernetes, and distributed systems is essential.
AQEMIA is a drug invention company dedicated to creating entirely new medicines to address major unmet medical needs. At the core of our mission is QEMI, our proprietary molecule-invention platform, which uniquely combines cutting-edge science with advanced technology. Powered by physics-based modeling, statistical mechanics, and generative AI, QEMI allows our teams to design novel drug candidates from first principles.
What makes AQEMIA different is our commitment to true innovation: our research is dedicated to the invention of new molecular entities, not the refinement of existing ones. We focus on inventing never-before-seen molecules, without relying on experimental data, and advancing them into a growing pipeline of proprietary programs and strategic partnerships with leading pharmaceutical companies.
Our most advanced preclinical programs are currently in vivo optimization, targeting diseases still waiting for effective treatments, offering our teams the opportunity to work on science that can make a real difference in people’s lives.
For more information, visit AQEMIA.com, our WTTJ Page, and our LinkedIn.
AQEMIA brings together a diverse, multidisciplinary team of 80+ professionals based in Paris and London. Our scientists and engineers, including chemists, physicists, machine learning experts, and software engineers, work side by side to push the boundaries of early-stage drug discovery.
This close collaboration across disciplines is central to our approach, enabling us to tackle complex scientific challenges from first principles and translate cutting-edge ideas into novel therapeutic candidates. At AQEMIA, team members are encouraged to contribute their expertise, learn from one another, and play an active role in shaping the future of drug invention.
The Engineering team (~12 people) builds and scales the technical foundations that power Aqemia’s drug discovery engine.
Bringing together expertise across software engineering, cloud infrastructure, data engineering, site reliability engineering (SRE), and scientific computing, the team designs and operates robust, secure, and high-performance platforms that enable Aqemia’s scientific and AI teams to experiment, train, deploy, and run models at scale.
Their work spans data infrastructure, scientific compute systems, cloud operations, orchestration, observability, CI/CD, developer tooling, and platform scalability. By transforming cutting-edge research into reliable and scalable systems, the team accelerates the discovery of new medicines while ensuring operational excellence and an outstanding developer experience.
As Engineering Manager of the Compute team, you will lead a team of 5 engineers responsible for building and evolving the compute platform that powers AQEMIA's scientific simulations, machine learning workloads, and large-scale experimentation. You will combine strong engineering leadership with technical credibility to grow a high-performing team while delivering reliable and scalable platform capabilities.
\nResponsibilitiesLead, coach and develop a team of Software Engineers through regular feedback, career development and mentoring.
Foster a collaborative, inclusive and high-performing engineering culture built on ownership, trust and continuous improvement.
Recruit, onboard and retain exceptional engineering talent.
Help engineers grow both technically and professionally while creating clear development paths.
Partner with Product, Staff Engineers and Engineering Leadership to define priorities and execute the Compute roadmap.
Drive predictable delivery of platform initiatives supporting scientific computing, AI workloads and internal developer platforms.
Balance new capabilities, operational excellence and technical debt reduction.
Identify and proactively manage delivery risks, dependencies and execution challenges.
Drive high engineering standards across architecture, testing, observability, reliability and maintainability.
Improve the scalability, resilience and performance of production systems supporting research and platform teams.
Promote modern engineering practices including automation, CI/CD, Infrastructure as Code and AI-assisted software development.
Continuously improve engineering processes, team effectiveness and operational maturity.
Collaborate closely with Platform, Data, AI and Scientific teams to translate research needs into scalable engineering solutions.
Facilitate communication between technical and non-technical stakeholders.
Ensure engineering execution remains aligned with AQEMIA's scientific objectives and business priorities.
Support cross-functional planning, architecture discussions and technical decision-making.
Partner with Engineering Leadership on organizational planning, hiring strategy and team evolution.
Help define engineering standards, operating principles and best practices across the organization.
Contribute to long-term platform strategy and engineering scalability.
Foster knowledge sharing, technical excellence and continuous learning across teams.
8+ years of experience in Software Engineering, including experience building production systems at scale.
Previous experience leading engineering teams as an Engineering Manager or Tech Lead with people management responsibilities.
Strong experience delivering distributed systems, cloud-native applications or compute-intensive platforms.
Solid software engineering background with hands-on experience in Python and modern backend development.
Experience working with AWS, Kubernetes, PostgreSQL, Snowflake and modern cloud infrastructure.
Strong understanding of software architecture, scalability, observability and operational excellence.
Experience leading roadmap execution and coordinating cross-functional engineering initiatives.
Excellent communication skills with the ability to influence across engineering, scientific and business stakeholders.
Strong coaching mindset with a passion for developing engineers and building high-performing teams.
Pragmatic approach to balancing delivery, technical excellence and organizational priorities.
Experience leading Platform Engineering, Infrastructure, Compute or SRE teams.
Exposure to scientific computing, machine learning infrastructure or AI platforms.
Familiarity with large-scale compute environments, GPU infrastructure or distributed training systems.
Experience with workflow orchestration systems and developer platforms.
Experience implementing AI-assisted engineering workflows and spec-driven development practices.
Track record of scaling engineering organizations in fast-growing technology companies.
Interest in computational chemistry, life sciences or scientific research environments.
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.
World-Class Interdisciplinary Team : work alongside exceptional talent at the intersection of technology and life sciences. Our teams combine deep expertise in AI, physics-based modeling, biology, and medicinal chemistry to push the boundaries of innovation.
DeepTech Recognition: AQEMIA is proud to be part of the French Tech 120 and France 2030, highlighting our role as a key player in Europe’s DeepTech ecosystem.
Prime Location with Flexibility : Our offices are located in the heart of Paris and London (King’s Cross), with flexible work arrangements including up to two remote days per week.
Strong Financial Backing : $100M raised from leading European and International investors
Scale drug discovery with quantum-inspired physics and generative AI
AQEMIA is a drug invention company dedicated to novel medicines — never me-toos — tackling major diseases such as oncology. Our physics-based, generative AI platform invents drug candidates beyond the reach of traditional R&D, without dependence on experimental data. We are building a rapidly expanding portfolio of proprietary programs, alongside collaborations with top pharmaceutical companies. Multiple discovery successes are already achieved, with lead programs progressing through in vivo optimization. AQEMIA is part of the French Tech 120 program, which supports the most promising scale-ups in France with global impact potential. AQEMIA is member of the BioIndustry Association (BIA) and the Knowledge Quarter in London. AQEMIA is based in Paris (HQ) and London. We are growing and hiring! Discover our opportunities here: https://jobs.lever.co/aqemia.com Discover the roles and behind-the-scenes at AQEMIA: https://www.welcometothejungle.com/fr/companies/aqemia
Offices: 1 Boulevard Pasteur, Paris, Île-de-France 75015, FR · 29-31 Euston Road, London, NW1 2SD, , London, GB
There are currently 619 open science & research positions in Paris, France listed on Clera. New openings are added daily as companies post roles.
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