Вакансія від 9 грудня 2019

Machine Learning Engineer

DataArt · VIP
IT; більше 1000 співробітників

Київ

Повна зайнятість. Досвід роботи від 2 років.

Опис вакансії

DataArt’s specialists create custom solutions for clients from the healthcare industry: EHR (patient electronic cards), CTMS (Clinical Research Monitoring Systems), mobile patient applications, etc. Our clients are technology companies, hospitals, laboratories, pharmaceutical companies, and CRO (contract research organizations) in the US and European countries.

You will work with the analysis of gene expression data obtained through sequencing and microarray techniques. The challenge is to identify molecularly distinct groups using unsupervised methods. These groups correspond to distinct phenotypes of ulcerative colitis.

Must have:

  • Practical experience in machine learning and in working in multidisciplinary environments
  • Experience in working with biological data, specifically the genetic data
  • An understanding of gene expression
  • Experience in unsupervised methods: t-SNE (or umap), PCA, clustering (including hierarchical clustering)
  • Strong knowledge in either Python (preferable) or R
  • Acute analytical skills
  • Spoken English English

Would be a plus:

  • Ph.D. in computer sciences, mathematics, physics, bioinformatics, or a related life sciences (data-centric) field
  • Experience in bioinformatics

DataArt offers:

  • Professional Development:— Experienced colleagues who are ready to share knowledge;— The ability to switch projects, technology stacks, try yourself in different roles;— More than 150 workplaces for advanced training;— Study and practice of English: courses and communication with colleagues and clients from different countries;— Support of speakers who make presentations at conferences and meetings of technology communities.
  • The ability to focus on your work: a lack of bureaucracy and micromanagement, and convenient corporate services;
  • Friendly atmosphere, concern for the comfort of specialists;
  • Flexible schedule and the ability to work remotely;
  • The ability to work in any of our development centers.

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