Data Analyst (App Developer)

US Tech Solutions; United States; Remote; USD 80,000 - 100,000; Full time

Job summary

A leading company is seeking a Data Analyst focused on App Development to create user-friendly software solutions for genomic data. This role involves collaborating with researchers, automating data workflows, and ensuring high data quality. The ideal candidate will have strong skills in R, Python, and SQL, along with experience in app development and user interface design. Join a dynamic team to drive innovative research and development initiatives.

Qualifications

• 3+ years of experience in app development and user interface design.
• Experience with bioinformatics datasets and data standards.

Responsibilities

• Design, develop and refactor applications for genomic data.
• Engage with researchers to gather requirements for software solutions.
• Develop and execute ETL processes for high-value datasets.

Skills

R

Python

SQL

Code Management

Documentation

Education

Bachelor's degree in computer science

Bachelor's degree in bioinformatics

Tools

PostgreSQL

AWS

Job description

Remote (Eastern time zone preferred)

Top 3-5 skills, experience or education required
a. Advanced skills with R/Python including app development (preferred: Rshiny)
b. Experience with bioinformatics datasets (like BulkRNAseq, Proteomics, scRNAseq, CRISPR)
c. Interaction with databases (SQL)
d. Code management and documentation, usage of github

Job Overview: 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.
Key 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.

Required qualifications:
• 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.

Preferred Qualifications:
• Experience with AWS
• Experience in API development

About US Tech Solutions:
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com.

US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.