Data analyst - Flow Cytometry

About the role

This role centers on data analysis within the Flow Cytometry Data Processing Group, focusing on quality control metrics. The work involves maintaining and improving existing ETL pipelines that gather data on cytometric sample readiness from various internal sources. A key aspect of the position is ensuring the reliability and efficiency of these data collection processes.

The Data Analyst will also be responsible for creating and supporting dashboards that offer clear insights into the team's current operations. This includes developing and analyzing quality control metrics for both Next-Generation Sequencing (NGS) and flow cytometry data. The goal is to provide comprehensive views that support data-driven decision-making.

Success in this position means effectively managing databases, ensuring robust ETL pipelines, and providing actionable insights through dashboards. The role requires strong analytical skills to identify patterns and anomalies in scientific data, contributing to the development of precision oncology solutions within a multidisciplinary team of experts.

The salary for this position ranges from $55,000 to $85,000 annually.

Skills that matter here

• ETL: This role involves maintaining and enhancing existing ETL pipelines to collect and process data from various databases.
• Airflow: The primary focus of this position includes working with an Airflow-based ETL pipeline to gather data on cytometric sample readiness.
• data analysis: A core responsibility is conducting data analysis, particularly related to quality control metrics for flow cytometry and NGS data.
• bioinformatics: A bachelor's degree in bioinformatics or a related field is a requirement, indicating the scientific context of the data work.
• NGS: The role requires working with open-source databases related to NGS data and developing QC metrics for it.
• flow cytometry: This position is specifically within the Flow Cytometry Data Processing Group and involves analyzing QC metrics for flow cytometry data.

Who this role suits

• Someone with a scientific background, preferably in bioinformatics or data science, who enjoys working with complex biological data.
• An individual who is detail-oriented and possesses strong analytical skills to identify trends and anomalies in data.
• A person comfortable maintaining and developing data pipelines, with a practical understanding of ETL processes and tools like Airflow.
• A collaborative team member who can communicate effectively within a multidisciplinary environment.

From the employer

• Work with open-source databases related to NGS and Flow Cytometry data
• Maintain and enhance the existing ETL pipelines responsible for collecting and processing data from those databases;
• Build new and support existing dashboards to provide comprehensive insights into the current processes of the team;
• Develop and analyze QC metrics for NGS and Flow Cytometry data.

• Bachelor's degree in a relevant field such as Bioinformatics, Data Science, or a related discipline;
• Proven experience working with databases and conducting data analysis, preferably in a scientific or research environment;
• Familiarity with ETL pipelines (Airflow, Prefect) and the ability to work with multiple data sources.
• Strong analytical skills and attention to detail, with the ability to identify trends, patterns, and anomalies in data;
• Knowledge of flow cytometry principles and QC metrics is a strong plus.
• Knowledge of standard NGS pipelines is a strong plus.
• Excellent communication skills and the ability to work effectively within a multidisciplinary team.

• Full-time position with a permanent contract, flexible working hours, and hybrid work format.
• Relocation package to Yerevan for candidates and their immediate family members, including full support with documentation and bureaucracy (bank accounts, residence permit, school contacts, etc.).
• Competitive salary and comprehensive health insurance.
• Corporate benefits: English language courses, gym plan, and office snacks.
• Convenient office location in Yerevan within a 1-minute walk from the metro.
• Structured onboarding, mentorship, and a supportive professional environment.
• Opportunity to work in a multidisciplinary team of bioinformaticians, biologists, physicians, and software engineers developing cutting-edge precision oncology solutions.