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À propos
*WHO WE ARE*
*Our Vision*
The definitive AI reference for drug benefit-risk analysis now, and the individual-level analysis tomorrow.
To become the definitive reference in both market and academic sectors for drug benefit-risk analysis, while pushing technological boundaries to achieve individual-level analysis.
*Our Mission*
At ArcaScience, we're anticipating the potential of new drugs or existant medications for new targets. Basically, we're revolutionizing how medications impact human health by deploying our 24 AI models analyzing the benefits and risks of molecules in relation to specific pathologies, patient groups, and, in the coming years, individual patients, making personalized medicine possible at scale in clinical development and after.
*Our Strategy*
To promote our solution as a reference in AI-powered drug benefit-risk analysis, we are strategically doubling our team by end 2026 and accelerating our Benefit-Risk Analysis (BRA) generation to achieve real-time processing. We are set to become a preferred global partner for pharmaceutical companies, empowering them to optimize their drug development pipelines, significantly increase clinical success, and enhance their market value.
*Our Ambitious Goals*
* 20x growth in company activity over the next 3 years
* Worldwide expansion of our operations
* Technological advancement to achieve individual-level analysis capabilities
* Establish ArcaScience as the global leader in AI-powered pharmaceutical benefit-risk analysis
*YOUR ROLE*
You will be embedded in our core IT team and contribute to two major areas: strengthening our data engineering infrastructure and maturing our DevOps practices.
You will work alongside senior engineers on production systems handling hundreds of daily data workflows that power AI-driven pharmaceutical research.
This is a hands-on internship – you will own real deliverables from day one.
*✅ Profile we are lookin for*
*Education*
Bac+4/5 in Computer Science, Software Engineering, Data Engineering, or a related field (engineering school or university Master's)
*Technical skills*
* Solid foundation in Python (experience with data or backend projects is a plus)
* Familiarity with Linux environments and command-line tools
* Basic knowledge of cloud concepts (AWS preferred) and/or containers (Docker, Kubernetes)
* Any hands-on experience with Terraform, GitLab CI, or observability tools (OpenTelemetry, Grafana, Elasticsearch) is a strong plus
* Interest in data pipelines, NLP, or ML workflows is appreciated
*Soft skills*
* Autonomous, rigorous, and curious – you like to understand how things work end-to-end
* Good communication skills in English (working language)
* Comfortable in an international, multicultural team environment
* Eager to learn and contribute in a fast-paced startup context
✅ *Missions - Data Engineering*
* Contribute to the development, optimization, and maintenance of our Airflow data pipelines (the backbone of our delivery infrastructure)
* Participate in production reliability initiatives for high-availability environments
* Support data quality processes aligned with strict medical and regulatory standards
* Contribute to workflows involving ML model training, NLP on biomedical literature, and large-scale document processing
* Help integrate AI/LLM APIs into existing pipeline architectures
✅ *Missions - DevOps and Infrastructure*
* Deploy and maintain services on AWS Elastic Kubernetes Service (EKS)
* Manage containerized workloads using Docker and Kubernetes
* Assist in cluster configuration, autoscaling, and namespace management
*Infrastructure as Code*
* Terraform- Write and maintain Terraform modules for cloud resources (VPC, IAM, RDS, S3, EKS, etc.)
* Contribute to infrastructure versioning and GitOps practices
* Participate in environment parity between staging and production
*CI/CD - GitLab CI*
* Maintain and improve GitLab CI/CD pipelines for data and ML services
* Automate testing, validation, and deployment workflows
* Improve pipeline reliability and speed through caching and parallelization strategies
*Monitoring - OpenTelemetry / Elasticsearch / Grafana*
* Instrument services with OpenTelemetry to collect traces, metrics, and logs
* Build and maintain Grafana dashboards for infrastructure and application observability
* Contribute to alerting rules and incident detection processes
*WHAT WE OFFER*
* Real ownership: contribute to production systems from day one
* Mentoring by senior engineers across Data Engineering and DevOps
* Exposure to a cutting-edge AI stack applied to pharmaceutical science
* Integration within Future4care, a collaborative healthcare innovation hub in Paris
* Tailored onboarding: training in either Pharmaceutical Sciences or Artificial Intelligence depending on your background
* A warm, inclusive, and international team culture
* Hybrid work arrangement (Paris 13e office + remote)
* Legal internship gratification (above minimum based on profile)
* RTT, commute reimbursement
*SELECTION PROCESS*
1. 45-minute online introductory call with your future manager
2. Technical and personality assessment (online)
3. Operational interview with an ArcaScientist (or a team meal!)
4. Final in-person interview with company executives
*HOW TO APPLY*
Send your CV and a short motivation message via Indeed.Tell us what drew you to ArcaScience and what you hope to buildduring this internship.
*Join us in transforming the future of personalized medicine and making a meaningful impact on global healthcare outcomes*
Job Type: Internship
Contract length: 6 months
Education:
* Master's (Required)
Work Location: Hybrid remote in Paris 13e (75)
Compétences linguistiques
- English
Avis aux utilisateurs
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