Experimental/Data Scientist with Machine Learning and Plasma Physics experience

As an Experimental/Data Scientist at RespiQ you will be responsible for conducting experimental investigations in an industrial setting, designing, and contributing to the development of a revolutionary diagnostic medical device. The ideal candidate will have a strong background in spectroscopy and plasma physics. Your expertise and contributions will help advance the company's mission of revolutionizing respiratory healthcare.

Responsibilities:

1. Algorithm Development: Lead the development and fine-tuning of classification algorithms for respiratory data analysis. Implement machine learning models, data preprocessing, and feature engineering to enhance algorithm accuracy. Perform rigorous testing and validation to ensure the algorithms meet performance and reliability criteria.
2. Data Integration: Assist in data collection, cleaning, and integration from various sources into the data pool. Collaborate with the backend development team to ensure seamless data flow and optimize data processing.
3. Process improvement: Design, develop and optimize the measurement techniques and data acquisition.
4. Data analysis: Perform data analysis and interpretation of experimental results, utilizing statistical methods and scientific software tools. Knowledge of statistical techniques is a must.
5. Machine learning: Help develop and train the algorithms that our device will use for the detection of volatile compounds in the exhaled breath.
6. Testing, validation, and documentation: Develop and execute comprehensive testing plans, including verification and validation activities, to ensure product performance, safety, and reliability. Prepare and maintain accurate and thorough documentation, including design documentation, technical files, test reports, and standard operating procedures.
7. Collaboration and Communication: Collaborate closely with cross-functional teams. Effectively communicate project status, challenges, and solutions to stakeholders.
8. Literature review: Perform regular literature searches to broaden the knowledge of the company on plasma physics and spectroscopy.

Qualifications:

To be eligible for the job, you must meet the minimum qualifications. Optional qualifications or skills are desired but not required.

Minimum required skills and qualifications:

1. Education: Master's degree or PhD in Computer Science, Computational Physics, Chemical Physics, Physical Chemistry, Analytical Chemistry or any relevant study field.
2. Experience: Prior experience and understanding of spectroscopic techniques (Uv-Vis, Raman, AAS, ICP-MS, GC-MS, etc.). Strong programming skills Python, JavaScript, or similar. Knowledge of machine learning and data analysis libraries (e.g., scikit-learn, TensorFlow, or PyTorch). Experience with front-end development. Understanding of data processing, data cleaning, and data visualization. Some experience with front-end development (React) and databases (PostgreSQL) would be appreciated.
3. Technical Skills: Solid understanding of plasma physics principles and phenomena, including plasma dynamics, ionization processes, and plasma-material interactions.
4. Collaboration: Strong teamwork and communication skills to effectively collaborate with cross-functional teams and stakeholders.
5. Attention to Detail: Meticulous attention to detail in design, documentation, and adherence to quality standards.

Preferred skills and qualifications (Optional):

1. Machine Learning: Some proficiency in programming languages such as Python, C++, C# and experience with AI libraries/frameworks like TensorFlow, PyTorch, or scikit-learn.
2. (micro)Plasma and spectroscopy: Experience in plasma physics, optical systems (spectroscopy), plasma microreactors, microfluidics would be a great additional asset.
3. MEMS and micro manufacturing processes: Experience or knowledge on the MEMS fabrication process or nanoelectronics would be a great asset.

Location:

• Hybrid: 40% on site.
• Leiden, The Netherlands

Job Conditions:

• Competitive salary based on your qualifications and experience and matching the challenges of the job; for the right candidate and based on your performance.
• A 6-month trial period followed by a permanent contract based on performance.
• Flexible work environment, flexible hours and a hybrid setup.

We are RespiQ, we are a startup trying to change the way we diagnose, and as such we deal with all the inherent challenges of a startup. You will not be only responsible for your tasks, but you might also be requested to help and learn from other engineers and scientists. This brings an opportunity to become a key player in the company and develop together.

Submission:

Please include a short cover letter in your submission. Applications without a cover letter will not be considered.