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Data Analyst (App developer)

cGxPServe
Cambridge, MA Full Time
POSTED ON 3/7/2025
AVAILABLE BEFORE 6/7/2025

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
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