Data analyst - Flow Cytometry

About the role

This role centers on data analysis within BostonGene's Flow Cytometry Data Processing Group. The primary responsibilities include working with databases, analyzing quality control metrics for flow cytometry data, and managing ETL pipelines. A key part of the job involves using Airflow to collect and process data from various corporate sources related to cytometric sample readiness. The successful candidate will contribute to the team's data infrastructure and insights.

The position also requires enhancing existing ETL pipelines and building new dashboards to provide insights into current processes. Developing and analyzing QC metrics for both NGS and Flow Cytometry data are core tasks. This work supports a multidisciplinary team focused on precision oncology solutions, involving collaboration with bioinformaticians, biologists, physicians, and software engineers.

Success in this role means effectively maintaining and improving data pipelines, ensuring data quality through robust QC metric development, and providing clear data insights through dashboards. The work directly contributes to the team's understanding of cytometric samples and overall data readiness, impacting the development of advanced oncology solutions. The environment supports professional growth through structured onboarding and mentorship.

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

Skills that matter here

• ETL: This role involves maintaining and enhancing existing data extraction, transformation, and loading pipelines.
• Airflow: The primary focus of this position is working with Airflow-based ETL pipelines to collect and process data.
• data analysis: A core responsibility is conducting data analysis, particularly related to QC metrics for flow cytometry and NGS data.
• bioinformatics: A background in bioinformatics or a related discipline is preferred, and the role involves working with bioinformatics-related data.
• NGS: The position requires developing and analyzing quality control metrics for Next-Generation Sequencing data.
• flow cytometry: Familiarity with flow cytometry principles and quality control metrics is a significant advantage for this role.

Who this role suits

• Someone with a Bachelor's degree in Bioinformatics, Data Science, or a related field.
• A candidate with proven experience in database management and data analysis, ideally within a scientific or research setting.
• An individual who possesses strong analytical skills and meticulous attention to detail, capable of discerning trends and patterns in data.
• A person who thrives in a multidisciplinary team environment and communicates effectively with diverse professionals.

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.