Senior Research Data Scientist - Machine Learning - Personalized Medicine

November 5, 2023

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iLoF - Intelligent Lab on Fiber

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artificial intelligence • photonics • personalized medicine • alzheimer's • oncology

11 - 50

💰 $900k Grant on 2022-07

Description

• 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 :)

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.

Benefits

• An exciting future with a deep-tech company selected by Financial Times and CB Insights as one of the most transformative companies in the world 🚀 • Annual performance bonus • Stock Options 💰 • A high paced, flexible environment: adaptable working hours, strong remote work culture 🏡 • A stimulating atmosphere with room for creativity - fast-paced, fun, and energetic start-up with a friendly culture 🎉 • Weekly happy hours with amazing food and drinks • Company offsites ⛱️ • Free coffee and snacks ☕ • Private healthcare insurance 💊 • The opportunity to work with a world class, talented team: and potentially change healthcare as we know it for millions of patients living with complex diseases around the globe 🧗🏼‍♂️ • We share a passion for being part of a mission that matters, and we are always looking for curious