Senior Research Data Scientist Machine Learning
5 meses atrás
Company Description
**Job Description**:
Hello
We're looking for an awesome **Senior Research Data Scientist | Machine Learning | Personalized Medicine | Deep Tech Startup **to join our team on our journey to revolutionize personalized medicine
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.
**About your Role / What will you be doing?**
- Independently own the full pipeline of specific projects from a data science perspective.
- Dive deep into our proprietary datasets, exploring, analyzing, and extracting insights that drive advancements in personalized 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 :)
**Requirements ✔️**
- Be an experienced hands-on professional, with a deep understanding of data science, relishing the opportunity to delve into our unique and exclusive datasets.
- Eagerness to explore 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.
- Adept at handling other diverse data types, from tabular to time series, physical & and physiological signals, etc.
- Excited to contribute new algorithms and machine learning models to our cloud libraries of diseases.
- While working independently, thrive as a collaborative team player - strong technical leadership experience and ability to work in interdisciplinary teams set you apart.
- Above all, to have an insatiable hunger for innovation and a drive for excellence.
**Qualifications**
- +3 years of experience 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 deep-tech 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 welcomed but is not necessary.
**iLoF in a nutshell**
As personalized medicine becomes the norm, scientists, patients, and healthcare systems worldwide face massive barriers in providing the right treatment to the right patient.
Recognized by CB Insights and Financial Times as one of the world's most promising Digital Health companies, iLoF is building an AI-powered platform capable of transforming precision medicine.
Our goal is to become the platform that democratizes access to personalized medicine for millions of people living with complex diseases around the globe.
Thanks to our proprietary optical fingerprint library of disease biomarkers and biological profiles we can offer personalized patient screening and stratification in a faster and more affordable way, saving up to 40% of the cost and 70% of the time while enabling a more human patient experience.
Supported by leading institutions like Microsoft Ventures, Mayfield, and the Oxford University, iLoF is currently focusing on validating its platform technology in one of the biggest challenges of our times: Alzheimer's, while maintaining ongoing verticals on Digestive Cancer, Stroke, and Infectious diseases.
**Our Team**
We are a mix of scientists, entrepreneurs, and inventors based in Oxford and Porto, with a passion for healthcare
Recognized by CB Insights as one of the most promising Digital Health companies in the wo
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