Senior Bioinformatics Engineer in UKEESS Software House

UKEESS Software House is looking forSenior Bioinformatics day (either in the office in Lviv, or with the possibility of remote cooperation in Ukraine).

About the customer:

About the project and team:< /span>

You will join the Data Science Engineering team working on projects that related to DNA research.  One of our projects is predicting human traits using SNPs.

In this post you will work with infrastructure and research activities such as EMR setup, Data Lake management, cloud computing, workflow automation, data mining and analytics. 

Technical stack of the project: Python 3.8-3.11 / Django / MySQL / Nextflow / Airflow / PySpark / Docker / AWS (IAM, S3, EC2, FSx for Lustre) / Kubernetes

Duties of our future colleague:

• Designing and developing complex large-scale systems that process billions of historical records every day

• Development of ETL pipelines using Spark Airflow

• Design and implementation of Nextflow pipelines for processing SNPs

• Working with data engineering/processing/analytic

• Working with the cloud environment (AWS services)

• Determining the possibility of implementing innovative technologies

• Writing code and unit tests

• Permanent code review of pool requests

• Diagnosis of complex problems involving several systems and technologies

Our ideal candidate is an engineer with:

• good Python skills

• ability to calculate summary statistics for data samples

• critical thinking and open to new knowledge and skills.

Experience and skills required:

• Good knowledge or experience with Bioinformatics tools and databases: DBs: BLAST, GATK, NCBI, UCSC Genome browser, etc

• 5+ years of commercial Python experience

• Commercial experience with relational databases (MySQL preferred)

• Commercial experience with orchestration tools (Airflow / Nextflow preferred)

• Experience with AWS (S3, EC2)

• CI/CD experience

• English: above average at least (spoken and written)

Would be an advantage:

• Good knowledge or experience with PySpark

• Good knowledge or experience with Django or Flask

• Good knowledge or experience with Rust

• Good knowledge or experience with Java

• Experience with Docker and Kubernetes

• Knowledge or experience with Scikit-learn

• Experience with AWS FSx for Luster and SageMaker 

• Knowledge or experience with ML

• Commercial experience with Airflow and/or Kubernetes

What do we offer a new colleague?

• Competitive compensation (based on market data, but also dependent on candidate's technical level)

• Flexible work schedule

• Annual paid leave

• Free English lessons

• Health insurance or two alternatives to choose from

• Individual plans for professional and personal development

• Absence of bureaucracy and micro-management"> normal; text-decoration: none">

  Modern comfortable office (barbecue area, kitchen, etc. )

• Foreign business trips (after the war)

• Parking on the territory and a charging station for electric cars

• Corporate gifts, holidays and entertainment

• Sports activities: table tennis, football, workout

Send us your resume and let's get to know each other! ;)

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Team of UKEESS Software House is currently looking for a 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 Data 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 / MySQL / Nextflow / Airflow / PySpark / 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.

• 5+ years of commercial experience with Python 

• Commercial experience with relational databases (MySQL 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 PySpark

• 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 SageMaker 

• 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

If you have a passion for solving challenging problems; building scalable, robust systems; love working with the latest technologies in a fast-paced, flexible environment; and are excited at the prospect of having a significant impact on products which has more than 3 million paying subscribers, then we want to talk to you! ;-)