Overview
On Site
Full Time
Skills
FOCUS
Research and Development
SAP PP
Accessibility
Usability
Continuous Improvement
Specification Gathering
Data Modeling
Data Management
Process Automation
Scripting
Data Processing
Workflow
Data Quality
Management
Extract
Transform
Load
Documentation
Version Control
Collaboration
Computer Science
User Interface Design
Requirements Elicitation
PostgreSQL
Database
Python
R
Data Manipulation
Bioinformatics
Communication
Research
Amazon Web Services
API
Job Details
Job Description:
s 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:
Requirements:
s 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:
- pp 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.