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A Remote DevOps Engineer needed at Skywalk Global

 

Bioinformatician Engineer (Mid-level)

 

Job Type: Contractor
Job Location: Remotely from Anywhere
Primary Skills: Data Science
Position Type: Contract (12 month +)

Project Scope and Brief Description:

  • The position is for work in the bioinformatics space, principally writing new and/or maintaining existing bioinformatics workflows and pipelines such as an Eukaryote Genome Annotation Pipeline.
  • As such the role requires knowledge of Cloud technologies (AWS, Kubernetes, Container orchestration) as well as experience with industry-level scientific workflow management.

Responsibilities:

  • Design, develop, optimize, and maintain scalable bioinformatics workflows for processing and analyzing large-scale genomics datasets in the cloud and in-house
  • Include a flexible modular architecture into the workflows to enable the exchange of analysis components and different algorithms
  • Implement the bioinformatics data processing pipelines using workflow management tools and programming languages such as Python
  • Work with team members to perform quality control and validation of pipelines to ensure accuracy and reproducibility of results
  • Document the development processes, including code, workflows, data flow diagrams, and standard operating procedures, following software development and DataOps best practices

 

Skills / Experience:

Required Qualifications

  • Previous experience developing industrial scale scientific data workflows.
  • Strong programming skills in Python including libraries for Data Science such as NumPy, Pandas, NetworkX, matplotlib, etc.
  • Working knowledge of container technologies (such as Docker, ContainerD, or Podman) and container orchestration.
  • Experience with data pipeline tools (like Argo, Ray, AirFlow, Redun or NextFlow).
  • Familiarity with the AWS platform (IAM, EC2, S3, CloudWatch, Spot instances) and Kubernetes, EKS, ECS, AWS Batch or other Cloud compute architectures.
  • Ability to work both independently and collaboratively with good communication skills. Interest in learning new technologies

 

Preferred Qualifications:

  • Specific experience analyzing large genomics datasets
  • Familiarity with common bioinformatics tools and datatypes for the analysis of NextGen sequencing data
  • Familiarity with statistical analysis methods and tools commonly used in bioinformatics analysis such as Gene Expression or ChIPSeq
  • Knowledge of any additional programming languages such as C, Rust, Perl, R, Unix Shell or others

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