JOB DESCRIPTION:

As a Data Analyst with a focus on App Development, you will play a crucial role in building applications that streamline data visualizations and empower bioinformatics and non-bioinformatics stakeholders. You will work closely with researchers to understand their needs and transform requirements into efficient, user-friendly software solutions. Your work will enable scientists to leverage data effectively, driving innovative research and development initiatives.

Responsibilities:

• App Development: Design, develop and refactor applications that enhance the accessibility and usability of genomic data, integrating user feedback for continuous improvement.
• Understanding User Requirements: Engage with bioinformatics research scientists to gather and analyze requirements, translating them into technical specifications and application features.
• Enabling Team Success: Collaborate with cross-functional teams to ensure applications are aligned with common data model standards and facilitate effective data management and querying.
• Process Automation: Utilize scripting languages to automate and optimize data processing/ingestion workflows, maintaining high standards of data quality and integrity.
• ETL Process Management: Develop and execute ETL processes that align with organizational standards, ensuring seamless integration of high-value datasets.
• Documentation and Collaboration: Maintain comprehensive documentation of development processes and version control to support collaboration and reproducibility.

Requirements:

• Bachelor’s degree in computer science, bioinformatics, or a related field, with 3+ years of relevant experience.
• Proven experience in app development and user interface design (preferred: Rshiny).
• Strong skills in requirements gathering and translating them into actionable software solutions.
• Proficiency in PostgreSQL or similar databases, with the ability to write complex queries.
• Expertise in Python and R for automation and data manipulation.
• Familiarity with bioinformatics data and bioinformatics data standards.
• Excellent communication skills and a collaborative mindset, essential for partnering with diverse research teams.
• Experience with AWS
• Experience in API development

Top Skills:

• Advanced skills with R/Python including app development (preferred: Rshiny).
• Experience with bioinformatics datasets (like BulkRNAseq, Proteomics, scRNAseq, CRISPR).
• Interaction with databases (SQL).
• Code management and documentation, usage of github.

• App Development: Design, develop and refactor applications that enhance the accessibility and usability of genomic data, integrating user feedback for continuous improvement.
• Understanding User Requirements: Engage with bioinformatics research scientists to gather and analyze requirements, translating them into technical specifications and application features.
• Enabling Team Success: Collaborate with cross-functional teams to ensure applications are aligned with common data model standards and facilitate effective data management and querying.
• Process Automation: Utilize scripting languages to automate and optimize data processing/ingestion workflows, maintaining high standards of data quality and integrity.
• ETL Process Management: Develop and execute ETL processes that align with organizational standards, ensuring seamless integration of high-value datasets.
• Documentation and Collaboration: Maintain comprehensive documentation of development processes and version control to support collaboration and reproducibility