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:
- 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.
