Senior Data Scientist

**About HawkCell**

Hawkcell is a pioneering company dedicated to **advancing animal imaging through cutting-edge AI and medical imaging technologies**. Our mission is to transform patient care by enhancing diagnostic accuracy and efficiency. With a strong focus on research and development, we continuously push the boundaries of medical imaging.

Born from French scientific excellence and the CNRS (National Centre for Scientific Research), HawkCell boasts **a team of 70% scientists** and has developed patented technology that offers unprecedented MRI image quality for animals. Having secured **€5 million in Series A** funding in early 2024, we aim to expand internationally (NORAM & APAC) to become the leader in animal imaging. In 2022, our market was valued at over **$1 billion with double-digit annual growth.**

**Our Values**
- **RESILIENCE**:We believe that resilience is the key to an organisation's success. We have developed a common dynamic to turn uncertainties and difficulties into an opportunity to grow, renew and evolve. Agility and flexibility are essential qualities that we deploy to achieve our goals.
- **AMBITION**: We believe in reaching for the moon to reach for the stars, having eyes that twinkle as we approach the goal and showing enthusiasm to inspire and motivate each of our people. We believe that success is a combination of talents. The common goal comes first.
- **INNOVATION**: For us, innovation means allowing everyone to unleash their creativity at all stages of the organisation. It also means being of a continuous improvement process and not hesitating to question what exists in order to create differentiating value. Dare to create.
- **TRUST**: For us nothing is built without trust and responsibility. Believing in oneself and believing in others is the virtuous path that leads to a team's success. It is the founding value and the soil that fertilises our innovation, our ambition and our resilience. It allows us to make mistakes, without fear of judgement, and to keep moving towards Excellence, T-O-G-E-T-H-E-R

**About the role**

This role is based in Lyon, France.

**What you'll do**
- Lead development of models for denoising, synthetic contrast generation, and classification
- Design algorithms for segmentation, localization, and characterization of pathologies
- Collaborate with other DS team members and mentor junior profiles
- Ensure clean, maintainable code and scalable model packaging (Poetry/uv)
- Put models into production and help design robust evaluation pipelines
- Publish your work in peer-reviewed venues and represent Hawkcell in the AI community
- Contribute to IT topics and help bridge R&D and productionization

**What we are looking for**
- Must Have:

- 4+ years of experience in deep learning applied to imaging
- Proven track record of bringing models to production
- Strong coding standards and experience with Git/GitHub collaboration tools
- Proficiency in packaging tools like Poetry or uv
- Published research papers and eagerness to continue publishing
- Comfortable working in a fast-paced, collaborative environment
- Ability to work in an international and English-first environment
- Nice to have:

- Experience with Cloud environment (AWS, GCP, Azure)
- Knowledge of medical imaging, DICOM formats, clinical environments
- Knowledge of medical software related norms and processes
- Experience in a regulated domain
- Experience in SaaS startups
- Experience in or keen interest in Web-Dev or C++

**Why join us?**
- A mission to revolutionize the animal healthcare industry
- A great and ambitious team to grow with
- An international culture with 10+ nationalities in the team
- An amazing office for you to share with other Hawkstars in Lyon, France

**Recruitment Process**
- 30-minute Screening Interview with the CPO
- 30-minute Short Technical Interview with the CTO or DS Team Member
- 60-minute technical interview with the CTO & CSO
- 30-minute culture interview with the CEO

**Job Type**: Permanent
Status: Cadre

Pay: 40,000.00€ - 60,000.00€ per year

Work Location: In person