Our Client is an international company with a highly experienced team focused on innovative healthcare solutions. Through their advanced technology and data analytics, they have made significant strides in early disease detection, with a particular focus on cancer. Their groundbreaking approach allows them to detect cancer in its earliest stages, revolutionizing the field of diagnostics.

The Opportunity:
 
Seeking experienced Deep Learning Developers to join their dynamic team. In this role, they will collaborate directly with their research and development team to create and deploy cutting-edge deep learning tools and techniques.
 
They will be part of a passionate team dedicated to developing innovative diagnostic tests for early disease detection, with a strong commitment to becoming leaders in the industry. Their vision is to make a positive impact on society by advancing the early detection of diseases.
 
Why Now?
 
This is an exciting time! They are experiencing rapid growth and expanding their operations. As they build their team, establish laboratory and business operations, and form strategic partnerships, they are seeking individuals who are enthusiastic about driving positive change and innovation.
 
What you will Contribute
 
- Designing and implementing deep learning tools and infrastructure to address challenges in early disease detection.
- Innovatively exploring state-of-the-art methodologies and algorithms based on deep learning.
- Collaborating on model, code, and software enhancements, and executing associated research with a team of data scientists and software engineers.
- Analyzing and interpreting complex data sets in the context of early disease detection and identification of disease signatures across various disease types.
 
What you will bring
 
- MSc or equivalent experience in a relevant field, such as Data Science, Computer Science, Statistics, Applied Mathematics, Physics, or Engineering, with a specialization in Deep Learning.
- 3+ years of post-study experience applying deep learning algorithms for research and/or product development, ideally in an industry setting.
- Strong knowledge of deep learning fundamentals and state-of-the-art practices.
- Proficiency in Linux environments and bash scripting.
- Experience with the Pytorch framework.
- Experience in the analysis of high-throughput, quantitative technologies in healthcare (e.g., genomics, epigenomics, proteomics, transcriptomics) is a plus.
- Ability to produce tested production-ready code, managed with Git.
- Proficiency in programming, including parallelization and code optimization with Python.
- Experience working with Big Data.
- Flexibility and adaptability.
- Efficient management and organizational skills to meet established timelines.
- Ability to work independently and proactively without direct supervision.
- Strong attention to detail and organizational skills.
- Excellent communication, teamwork, self-motivation, proactive problem-solving skills.
- Proficient in English, both written and spoken.
- Proven ability to thrive in a fast-paced, dynamic environment and manage multiple priorities simultaneously.
- Extensive experience working cross-functionally.
- Strong problem-solving and negotiation abilities.
 

Benefits
 
- Flexible work schedules.
- Remote work opportunities.
- Accrued time off.
- A free day on employees' birthdays.
- Health insurance plan.
- And more to come...