Data Analytic Specialist
1 DNA Way South San Francisco, CA 94080 US
Job Description
Data and metadata acquisition is one of the drivers that enables us to power scientific discovery. Acquisition of data and metadata ensures FAIR (Findable, Accessible, Interoperable, Reusable) data to maximize its value to our scientific community. We are seeking a data analytic specialist in our Computational Catalyst team to enable us to improve our data and metadata acquisition processes in collaboration with data curators, data managers, and more.
Duties include:
- Maintaining and developing data conformance checking scripts and requirements
- Acquiring and QCing biomarker data files from internal groups and external vendors.
- Capturing data and metadata in file systems and databases.
- Monitoring data processing requests and submitting data files to analysis pipelines Understand how to merge different data biomarker types with clinical data to generate analysis-ready data sets
- Maintaining and curating content of internal knowledge sharing repositories to comply with FAIR
- Working with biomarker operations managers and biometrics colleagues to understand the workflow and understanding the impact of the data for the scientific stakeholders
- Supporting design, implementation, and improvement of workflow/program processes
Required Skills:
- Familiarity working in a Linux computing environment
- Proficiency in scripting languages in R and/ or Python
- Familiarity with modern informatics systems, relational and non-relational databases, and data visualization tools.
- Comfortable navigating and working within an AWS environment
- Demonstrated experience with informatics best practices and developing well-documented, production code.
- Working knowledge of scientific research application development cycles and data management principles.
- Experience managing and curating biological or clinical data
- Proficient on the use of office apps (GSheets/Excel, GDocs/Word, GSlides/PowerPoint) - GSuite is preferred
- Careful, detail-oriented working style Outstanding communication, collaboration, and problem solving skills
- Able to work independently and in a team setting.
Experience with the following is desired:
- Experience with relational databases and SQL
- Experience working with python and/or R, using APIs to enhance metadata and generate metric insights
- Experience with Clinical trial data management
- Experience and/or familiarity with scientific assays
- Experience and/or familiarity using and developing BI tools (Tableau, Power BI, Looker, Qlik, SAP Analytics Cloud etc.) for non-technical end-user use
Education
- Bachelors or Master's degree in Life Science or Computer Sciences with at least 5 years work related experience.
Pay Rate Range: $60-$75/hr. Salary will be commensurate with experience
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