Job Description:
- Pay: 60.00-90.00/hr depending on experience.
- Length of Assignment: 1 year to start with potential for extension or conversion.
- Manager is open to candidates willing to relocate at their own expense.
- Hybrid role: 2-3 days a week onsite. Cannot be fully remote.
- MUST HAVE experience generating scientific data (can be analytical, genomics, etc.) and programming experience.
- Need strong development of ETL Processes / Data Workflows / Data Pipelines / etc.
- Need someone who can work with scientist to understand what data has been generated form the experiments and helps automates the electronic notebook.
- Must have python or R programming experience.
- Strive for continuous improvement and suggest innovative solutions to scientists' common challenges related to data workflows.
- Cloud Services – AWS (SQS, DLQ, SNS, EventBridge, API Gateway).
- Automation of the Electronic Lab Notebook (ELN).
- Development of ETL Processes / Data Workflows / Data Pipelines / Data Wrangling / Data Ingestion.
- Python packages (Cerberus, PyYAML, logging).
- Python linters and type hints; regular expressions.
- Experience with data pipeline tools such as Dataiku or Trifacta.
- Experience in an IT role within the pharmaceutical research sector.