Data Scientist I (Clinical)-LC 8631-Pharma experience required - Exciting Challenge

Description:
Hybrid Role

Towards Integrated workflows & Data collection

• Work hands-on with R&B Scientists & technicians in specific sites to upgrade current data operations and practices to build impactful ways of working.
• Work hands-on with R&B users to build automated data workflows where not available (new technologies) and trouble shoot workflows that are flawed or inefficient.
• In association with data continuum and digital team ensure proper functioning of data collection process, integration, software and Internet applications.
• Design, develop, and modify data infrastructure and templates to help scientist accelerate the processes of data analysis and reporting.
• Organize appropriate data collection and raw data processing methods at various users/experimental read outs across R&B teams leading to harmonized data management and utilization.
• Resolve data ingestion issues for benchling including legacy and current data. Deploy simplification and or data automation tools

1. Towards Data management & Continuum

• Create and implement digital tracking, inventory management, and automated QC dashboard within Benchling.
• Support R&B scientists to organize and ingest unstructured data.
• Collaborate with Data Science to maintain data management plans for all critical data related to test articles at R&B – Dashboards, meta data etc.
• Ensure scientists at R&B have visibility and access to dashboards and meta data
• Assess system performance and make recommendations and updates for hardware, software, and data storage improvements.

Knowledge & Skills :

• Hands on basic IT environment and script programming for automated tools in data acquisition, integration, cleaning, and data management.
• Experience of programing with C#, C++ or Python, SQL.
• Thorough understanding of management and data administration duties such as collection, analysis, and distribution
• In-depth understanding of modern database and information technologies and ability to organize large volumes of data
• Ability to develop tools to interface with electronic lab notebook Benchling.
• Ability to develop, evaluate, and implement workflows for technology, optimize and standardized existing techniques and workflows with respect to experimental HT mRNA generation process workflow including DNA & IVT-RNA production, and in vitro/in vivo screening is desired
• Working knowledge of nucleic acids DNA/RNA analytical performance assessment tools: PCR, Cloning/plasmid generation and design, Quality control on DNA/RNA (capillary electrophoresis, UV quantification, Sanger sequencing, NGS…) is desired.
• Past experience with Data mining, data base, functional analysis, machine learning algorithm, dashboarding and data visualization is desirable.