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 Engineer to join our team in Serbia
REQUIREMENTS
- Familiarity with Molecular Biology data and techniques associated with:
- NGS data, processing and analysis
- GWAS
- Genome assembly
- Genome annotation
- SNPs and Haplotypes
- Strong proficiency in SQL (PostgreSQL, MySQL, Oracle)
- Solid experience with AWS (S3, EC2, Fargate, ECS, Lambda). AWS certification is a plus
- Big Data and large-scale data processing:
- Apache Spark (PySpark, Sparklyr)
- Solid working experience with Python:
- Solid experience with OOP
- Poetry, Pydantic
- Good knowledge of ORM (sqlAlchemia)
- Knowledge of any of REST-frameworks (Flask, FastAPI, Django) is a plus
- Unit-testing, TDD
- Packaging Python packages and publishing to PIP/Conda
- AsyncIO, multiprocessing / multithreading
- Solid experience with Git, knowledge of different branching strategies (Gitlfow, GitHub flow, Trunk Based Development)
- Deep understanding of CI/CD process, hands-on experience with Jenkins
- Hands-on experience with Docker, Docker compose
- 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:
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.
