Data Analyst II

Spectraforce Technologies; Avon (IL); Remote; USD 60,000 - 100,000; Full time

Job summary

An innovative firm is seeking a Data Analyst focused on App Development to enhance genomic data accessibility. In this role, you will design and develop applications that empower both bioinformatics and non-bioinformatics stakeholders. Your expertise in R and Python, along with your experience in app development, will be crucial in transforming complex data into user-friendly solutions. Collaborating with diverse research teams, you will gather requirements, optimize workflows, and ensure high data quality standards. This position offers a unique opportunity to drive impactful research initiatives in a dynamic and supportive environment.

Qualifications

• 3+ years of experience in app development and user interface design.
• Strong skills in gathering requirements and translating them into software solutions.

Responsibilities

• Design and develop applications for genomic data accessibility and usability.
• Collaborate with bioinformatics scientists to gather and analyze requirements.

Skills

R Programming

Python

App Development (Rshiny)

SQL

GitHub

Education

Bachelor's degree in Computer Science

Bachelor's degree in Bioinformatics

Tools

PostgreSQL

AWS

Job description

Position Title: Data Analyst (App developer)

Contract: 6 months

Location/Site: Remote (Eastern time zone preferred)





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.



What are the top 3-5 skills, experience or education required for this position:

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.



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