Senior Research Data Scientist Ai Personalised
4 meses atrás
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.
- iLoF is a women-founded startup with a very strong representation of women and employees from diverse backgrounds. Women are especially encouraged to apply
- 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_**
In this position you will be a prominent member of the data science team at iLoF. We develop models for predicting medical conditions from biomedical data and photonic signals, and you will be a key member in getting the models to be correct (see below for more details about your responsibilities). This is a key role for iLoF intended for its department to grow over time. As iLoF grows, you can expect to be a member of trying to win at and build the best AI-powered bioinformatics diagnostics platform in the world. If you are a driven and ambitious Data Scientist looking to work on groundbreaking technology that will shape the future of medicine, you’re at the right job ad and we want to hear from you.
**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.
- 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 :)
**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 comfortable exploring new types of data; you have either previously done hands-on applied research on medical-source data dealing with omics datasets (genomics, metabolomics, proteomics, transcriptomics, etc.), or have the right skills to start work on such data.
- You are adept at handling other diverse data types, from tabular to time series, physical & physiological signals, etc.
- You are 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.
**Qualifications**:
- +3 years of experience after the PhD in academia / industry solving problems related to extracting insights from data, ideally biomedical signals
- Experience in data science applied to omics data is preferred — helpful, but not mandatory. (You’ll get caught up on the job).
- 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.
- 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.
- Experience supervising junior members would be w
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