Team of UKEESS Software House is currently looking for a Middle/Senior Bioinformatics Engineer to join our team for a full-time position (remotely in Ukraine or in Lviv’s office).
About the Customer:
Our customer is the world’s largest DNA network from the USA. With more than 30 billion digitized global historical records, 130 million family trees, and 18+ million people in their growing database, our customers help people discover their family stories and gain actionable insights about their health and wellness.
About the Project and Team:
You will join the Science Engineering team and work on DNA research projects. One of our projects is a prediction of people’s traits using SNPs.
As a part of the team, you will work on infrastructure and research activities, such as setting up EMR, Data Lake management/governance, cloud-environment activities, workflow automation, data engineering, and analytics.
Technologies stack: Python 3.8-3.11 / Django / My SQL / Nextflow / Airflow / Py Spark / Docker / AWS (IAM, S3, EC2, FSx for Lustre) / Kubernetes
Responsibilities will include:

• Help architect, design, and develop complex, large-scale systems that process billions of records every day
• Development of ETL pipeline using Spark and Airflow
• Design and implement a Nextflow pipeline to process SNPs
• Working with data processing/engineering/analytics
• Working with cloud-environment (AWS services)
• Identify opportunities to adopt innovative technologies and automation workflow
• Write code and unit tests
• Conduct code reviews
• Diagnose complex problems involving multiple systems and technologies
• Be an example of engineering excellence

Our ideal candidate will have good Python skills, the right mixture of critical thinking, a can-do attitude, solid programming fundamentals, an understanding of time series data, and the ability to calculate summary statistics for data samples.
Requirements:

• Knowledge or experience with Bioinformatics tools & DBs: BLAST, GATK, NCBI, UCSC Genome browser, etc.
• 3+ years of commercial experience with Python
• Commercial experience with relational databases (My SQL is preferable)
• Commercial experience with orchestration tools (Airflow / Nextflow is preferable)
• Experience with AWS (S3, EC2)
• Experience with CI/CD
• English: Upper-intermediate at least (both spoken and written)

It will be a plus:

• Strong knowledge or commercial experience with Py Spark
• Strong knowledge or commercial experience with Django or Flask
• Strong knowledge or commercial experience with Rust
• Experience with Docker and Kubernetes
• Knowledge or commercial experience with Scikit-learn
• Experience with AWS FSx for Lustre and Sage Maker
• Strong knowledge or commercial experience with Java
• Knowledge or experience with ML

What do we offer our new colleague?

• Competitive compensation (based on market data but also depending on the technical level of the candidate)
• Flexible work schedule
• 3 health packages to choose
• Annual paid vacation and state holiday celebration
• Free English classes (online)
• Individual approach to professional growth
• Lack of bureaucracy and micromanagement
• Modern, comfortable office facilities (a barbecue zone, kitchens, lounge rooms, coffee machines, etc.)
• Foreign business trips
• On-site parking lot and charge station for Electric Cars
• Corporate gifts, celebrations, and fun activities
• Sports activities: ping-pong, soccer, work-out