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EPAM Serbia

Bioinformatics Data Analyst

OSNOVNO O POZICIJI

ROK

10 DANA

POLITIKA REMOTE RADA

'Remote '

PREDUSLOVI

NUŽNA ZNANJA

Bioinformatics Data Analyst Description

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

No less important is the safety, well-being and experience of our applicants. Therefore, until further notice, all EPAM employment interviews will be conducted remotely. Our recruitment professionals and hiring managers are standing by to ensure a robust and engaging virtual candidate experience. We look forward to speaking with you!

DESCRIPTION

We are looking for a Bioinformatics Data Analyst to join our team in Serbia

REQUIREMENTS

  • Experience in biological data analysis and interpretation such as sequence alignment, data quality control, gene expression analysis, variant calling, phylogenetics
  • Must have a proven track record using computational methods in at least one next generation sequencing modality
  • Familiarity with Molecular Biology data and techniques associated with:
    • NGS data, processing and analysis
    • GWAS
    • Genome assembly
    • Genome annotation
    • SNPs and Haplotypes
  • Familiarity with cheminformatics libraries, RDKit for instance
  • Experience with visualization libraries and dashboarding:
    • Dash / Plotly
    • R Shiny / ggplot2
  • Strong proficiency in SQL (PostgreSQL, MySQL, Oracle)
  • Solid working experience with Python and/or R:
    • Data vectorization
    • Data Frames (Pandas, Dask, Tadyverse packages)
    • Unit Tests (PyTest, Testthat)
  • Experience working with version control tools such as git (e.g. GitHub, BitBucket)
  • Confident Linux user, bash scripting

NICE TO HAVE

  • RStudio ecosystem:
    • RStudio Pro
    • RStudio Package Manager
    • RStudio connect
    • CRAN
  • Python ecosystem:
    • PIP / Conda / Mamba package management
    • JupyterLab
  • Linux / HPC:
    • Confident operating high-performance cluster systems via schedulers such as SLURM or Univa Grid Engine (UGE)/Sun Grid Engine (SGE)
  • Deep learning frameworks:
    • PyTorch
    • TensorFlow
  • Big Data and large-scale data processing:
    • Apache Spark (PySpark, Sparklyr)

WE OFFER

  • Dynamic, entrepreneurial, high speed, high growth corporate environment
  • Diverse multicultural, multi-functional, and multilingual work environment
  • Opportunities for personal and career growth in a progressive industry
  • Global scope, international projects
  • Widespread training and development opportunities
  • Unlimited access to LinkedIn learning solutions
  • Competitive salary and various benefits
  • Sport and social teams support, recreation area, advanced CSR programs
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