job summary:
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.
location: Lake Forest, Illinois
job type: Contract
salary: $40 - 44 per hour
work hours: 9am to 5pm
education: Bachelors
responsibilities:
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.
qualifications:
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
skills: 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
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).
This posting is open for thirty (30) days.