Data Scientist

Antal International
19 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Tech stack

Big Data
Clinical Data Repository
Program Optimization
Linux
Python
Signal Processing
GIT

Job description

As Data Scientist, you join a passionate and fast-growing biotech company in which you will work in a team investigating and contributing to the development of innovative algorithms for the early detection of cancer. You will be involved in a company that wants to have a huge positive impact on society by achieving the ambitious purpose of "making cancer a curable disease by detecting it earlier". DUTIES AND RESPONSIBILITIES

  • Think about and conceptualize signal processing, mathematics and statistics-related problems and challenges in the early cancer detection field
  • Create innovative algorithms that use signal processing to tackle genomic features as temporal-domain series
  • Study, experiment and investigate technological fields such as artificial intelligence and robotics
  • Analyze and interpret molecular, analytical, and clinical data in the context of early cancer detection and identification of molecular signatures across various types and stages of cancer
  • Contribute into model, code, and software improvement, and subsequently plan, scope, and execute associated research with a team of bioinformaticians, data scientists and software engineers

Requirements

  • MSc or equivalent experience in a relevant field such as Biomedical Engineering, Telecommunications Engineering, Statistics or Applied Mathematics with a Signal Processing specialty

  • 3+ years post-study experience applying spatio-temporal signal processing algorithms for research and/or product development, ideally in industry

  • Deep knowledge of signal processing fundamentals, application to biomedical signal (e.g., EEG, ECG) is a plus

  • Proficiency in Linux environment and bash

  • Experience in the analysis of high-throughput, quantitative technologies in genomics, epigenomics, proteomics, or transcriptomics (e.g., Hi-C, ATAC-seq, RNA-seq, MS) is a plus

  • Ability to generate tested production-ready code, version-controlled with Git

  • Excellence with computational and statistical programming, including parallelization and code optimization with Python and R

  • Ability to work with Big Data VALUABLE SKILLS

  • Attention to detail

  • Knowledge and experience with time management and timeline development

  • Flexibility

  • Strong oral and written communication skills in English

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