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1653 Vacancies

Talent Pool: Bioinformatician / Data Scientist

1

Brief Description

This position is currently part of the Quantori Talent Pool, meaning it's not an active opening at the moment. However, we welcome the opportunity to discuss your interest and would be happy to chat with you about considering your CV for upcoming opportunities in this role.

Responsibilities

  • Collaborate closely with clients to understand their specific research goals and design tailored bioinformatics and data analysis solutions
  • Collaborate with interdisciplinary teams of biologists, geneticists, and data scientists to develop and implement computational strategies for analyzing large-scale biological datasets
  • Develop and implement computational pipelines and workflows for processing and analyzing diverse biological data types, including genomics, transcriptomics, proteomics, and metabolomics
  • Participation in developing pipelines for processing NGS data (single-cell and bulk RNA-seq) by using Nextflow
  • Perform statistical analysis and data mining to identify patterns, correlations, and biomarkers
  • Apply statistical modeling and machine learning techniques to identify patterns, correlations, and predictive models from large-scale datasets
  • Stay up-to-date with the latest advancements in bioinformatics and contribute to the continuous improvement of existing methodologies and algorithms
  • Present findings and results to internal teams and external stakeholders in a clear and concise manner

Requirements

  • Experience in: Unix, SQL databases (PostgreSQL), REST APIs, Cloud computing (AWS), and HPC (High Performance Computing) 
  • Solid understanding of bioinformatics concepts, algorithms, and tools
  • Proven experience in analyzing high-throughput genomic, transcriptomic, or proteomic data
  • Hands-on experience with creating single-cell and bulk RNA-seq data processing pipelines
  • Proficiency in pipeline development using Nextflow (preferred), Cromwell, or other popular framework
  • Programming skills: Solid Python programming skills, as well as experience in other programming languages and experience with relevant bioinformatics software and tools
  • Solid knowledge of statistical analysis, machine learning, and data mining techniques
  • English level B2 or higher
  • Strong communication and negotiation skills in interactions with the research scientists

Nice to have:

  • Experience in next-generation sequencing (NGS) data analysis and variant calling
  • Knowledge of structural bioinformatics and molecular modeling
  • Familiarity with cloud computing platforms and big data analysis frameworks
  • Prior experience in the analysis of single-cell RNA sequencing (scRNA-seq) or single-cell genomics data
  • Familiarity with cloud computing platforms and big data analysis frameworks
  • Experience with processing scTCR and scCITE-seq data
  • Experience with deploying pipelines to AWS
  • Familiarity with Cell Ranger and/or TRUST4 software packages
  • Strong communication and interpersonal skills with the ability to effectively collaborate with cross-functional teams and communicate complex concepts to non-technical stakeholders
  • Experience with orchestration tools and virtualized environments (Docker, K8S) 

Conditions

  • Competitive compensation
  • Remote or office work
  • Flexible working hours
  • Healthcare benefits: medical insurance
  • Continuous education, mentoring, and professional development programs
  • A team with an excellent tech expertise
  • Certifications paid by the company

Contact Information

career@quantori.com

Astana
Full-time
Remote work
Full-time

Talent Pool: Lead/Senior Data Engineer

1

Brief Description

This position is currently part of the Quantori Talent Pool, meaning it's not an active opening at the moment. However, we welcome the opportunity to discuss your interest and would be happy to chat with you about considering your CV for upcoming opportunities in this role. 

Responsibilities

  • Data organization and analysis: handling structured, semi-structured, unstructured, and image-based data.
  • Building data systems and pipelines
  • Preparing data for prescriptive and predictive modeling
  • Designing end-to-end pipelines within a hybrid big data architecture, using Cloud Native AWS, Python, SQL, etc.
  • Leveraging AWS Cloud services for building data pipelines and ensuring effective monitoring
  • Collaborating with data scientists and architects across various projects

Requirements 

  • 7+ years of Data Engineering experience utilizing designated technologies and tools.
  • Profound knowledge and hands-on experience with Python (Pandas, boto3), SQL, Spark, Databricks, DWH
  • Proficient use of orchestrators such as Airflow
  • Expertise with AWS services essential for Data Engineering: AWS Glue, AWS Lambda, S3, RDS, Redshift, Athena, SQS, SNS, etc.
  • Ability to write robust code with Python.
  • Deep understanding of pub-sub architecture
  • Strong upper-intermediate or higher (B2+) proficiency in English
  • Solid analytical and problem-solving skills

Nice to have:

  • Experience with AWS Dynamo DB, Aurora (including serverless nuances), Elasticache, Kinesis services, Neptune
  • Familiarity with AWS Networking
  • Familiarity with Azure 
  • Experience with Snowflake

Conditions

  • Competitive compensation
  • Remote or office work
  • Flexible working hours
  • Healthcare benefits: medical insurance 
  • Continuous education, mentoring, and professional development programs
  • A team with an excellent tech expertise
  • Certifications paid by the company

Contact Information

  •  career@quantori.com
Astana
Full-time
Full-time

Talent pool: Senior GCP DevOps Engineer

1

Brief Description

This position is currently part of the Quantori Talent Pool, meaning it's not an active opening at the moment. However, we welcome the opportunity to discuss your interest and would be happy to chat with you about considering your CV for upcoming opportunities in this role. 

Responsibilities

  • Build cloud-native infrastructure on GCP using VPC, IAM, GKE, Cloud SQL, and Cloud Storage
  • Containerize with Docker and orchestrate via Kubernetes and Helm
  • Build and maintain CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins)
  • Use Terraform and Ansible as daily infrastructure tools
  • Script automation and tooling with Python and Bash
  • Monitor systems and resolve issues before they escalate
  • Review code, document changes, and improve engineering practices

Requirements

  •  Professional Certification: At least one of the following GCP certifications is required:  
    • Cloud Architect
    • Cloud Database Engineer
    • Cloud Developer
    • Cloud DevOps Engineer
    • Cloud Network Engineer
    • Cloud Security Engineer 
    Professional requirements:
    • Hands-on experience with GCP (networking, compute, storage, databases)
    • Fluency in Kubernetes and knowledge of cluster internals
    • Capability of optimizing Docker for production
    • Knowledge of what good CI/CD looks like and how to build it
    • Automation with Terraform, Ansible, Python, and Bash
    • Awareness of DevOps principles, not just tools
    • Clear communication and ability to work independently
    • Capability to overlap with PST time zone 

    Nice to have:

    • Understanding of core AWS services and differences from GCP
      • Experience with cloud-to-cloud migrations 
    • Strong understanding of PKI, certificate management, and secure data exchange (HL7, clinical documents, secure email) 
    • Healthcare domain knowledge: HL7, Fyre, IAG profiles, clinical documentation workflows 

Conditions

  • Strong management and technical expertise  
  • The contract till the end of the year with possible extension based on project needs and performance
  • Remote work 
  • Flexible working hours

Contact Information

  •  career@quantori.com
Astana
Remote work
Project work
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