Senior Research Data Scientist | Machine Learning | Personalized Medicine | Deep Tech Startup

Overview

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.
Stay abreast of the latest advancements in data science, machine learning, and personalized 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 🙂

Company:

iLof

Qualifications:

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

PhD or relevant degree in Computer Science, Computational Biology, Bioinformatics or a related field. Exceptional candidates with a Master’s degree and proven research experience will also be considered.
+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.
Deep understanding and practical application of statistical concepts, predictive modeling, 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.
Experience supervising junior members would be welcomed but is not necessary.

Educational level:

Ph. D.

Level of experience (years):

Mid Career (2+ years of experience)

How to apply:

Please mention NLP People as a source when applying

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Tagged as: Data Analysis, Industry, Machine Learning, NLP, Ph. D., Portugal