Bioinformatics Data Analyst

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.