Senior Research Data scientist | Personalised Medicine | Deeptech Startup

Company Description

Who we are and what’s our mission:

iLoF (Intelligent Lab on Fiber) is formed by a diverse group of inventors, entrepreneurs and tech geeks who are revolutionising personalised medicine through the fusion of photonics and AI. Our cutting-edge platform leverages the light-matter interaction in blood samples to generate complex signals, enabling the development of digital models for various diseases. We are dedicated to building cloud libraries for diseases, offering groundbreaking solutions that have the potential to transform healthcare globally.

Why Join iLoF:

• Join a cutting-edge company at the forefront of personalised medicine, leveraging the power of photonics and AI to make a tangible impact on healthcare.
• Work alongside a team of highly skilled professionals driven by innovation, curiosity, and a shared vision to revolutionise the field.
• Enjoy the flexibility of a remote work environment or work from our state-of-the-art facilities, depending on your location and preference.
• Engage in groundbreaking research, collaborate with renowned experts, and contribute to scientific publications and conferences.
• Competitive compensation package with benefits, including health insurance, stock options, and opportunities for professional growth and development.

Job Description

NOTE: This is not an entry level position, please check the requirements below before applying

If you are a driven and ambitious Research Scientist looking to work on groundbreaking technology that will shape the future of medicine, you’re at the right job add and we want to hear from you. Keep reading and join iLoF’s mission and apply to become part of the team that is revolutionising healthcare through photonics and AI.

Who we would love you to be:

As an experienced hands-on professional, you possess a deep understanding of data science and relish the opportunity to delve into our unique and exclusive datasets. You are adept at handling diverse data types, from tabular to time series, physical & physiological signals, multiomics, etc.; and are excited to contribute new algorithms and machine learning models to our cloud libraries of diseases. While you shine working independently, you also thrive as a collaborative team player. Your strong technical leadership experience and ability to work in interdisciplinary teams set you apart. Above all, you have an insatiable hunger for innovation and a drive for excellence.

Your job responsibilities:

• Independently own the full pipeline of specific projects from a data science perspective.
• Dive deep into our proprietary datasets, exploring, analysing, and extracting insights that drive advancements in personalised medicine.
• Develop advanced algorithms, statistical models, and machine learning techniques to uncover meaningful patterns and trends in complex data.
• Work hand to hand with the head of the department, as well as collaborate closely with cross-functional teams, influencing product development and decision-making by using data.
• Stay abreast of the latest advancements in data science, machine learning, and personalised medicine, applying new methodologies and technologies to enhance our products and capabilities.
• Communicate findings, methodologies, and recommendations in a clear and concise manner to both technical and non-technical stakeholders.
• To have lots of fun dealing with unique datasets and human-derived signals :)

Qualifications

Requirements:

• Must: PhD in Mathematics, Computer Science, Physics, Computational Biology, or a related field. Exceptional candidates with a Master's degree and proven research experience will also be considered.
• +3 years of experience after the PhD in academia / industry  solving related problems.
• Experience working in fast-paced environments, preferably in a deeptech startup or similar high-growth setting.
• Extensive experience in data preprocessing, feature engineering, and exploratory data analysis to derive valuable insights.
• Deep understanding and practical application of statistical concepts, predictive modelling, and experimental design.
• Excellent problem-solving skills, with the ability to navigate complex and ambiguous challenges in data analysis and signal processing.
• Strong written and verbal communication skills, with the ability to effectively communicate complex findings to technical and non-technical stakeholders.
• Effective communication skills to collaborate with cross-functional teams and present research findings to both technical and non-technical stakeholders.
• Experience supervising junior members would be welcomed but is not