Description: - Onsite Role (Hybrid eligible)
- Towards Integrated workflows & Data collection
- Onsite, (hybrid eligible after fully trained) .
- References will be requested for finalists
- Open to candidates willing to relocate at their own expense
- MS Degree 1-3 Years of Experience (industry experience required for years)
- Ph.D. Degree 0-2 Years of Experience (in school experience will be considered)
- Must have data visualization tool experience, such as Tableau or Spotify
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• Must have coding experience SQL, Python, LIMS Lab Information System - Benchling Experience (or Gene Data or comparable), Bench Experience in Molecular Biology
• Biotech or Pharma experience required. - Hands on molecular biology experience/ lab experience.
Nice To Have Experience: • Bioinformatics experience, industry setting (biotech)
• NGS (Next Gen Sequencing) Data Analysis experience
• Work hands-on with R&B (Research & Biomarkers) Scientists & technicians in specific sites to upgrade current data operations and practices to build impactful ways of working.
• Work hands-on with R&B (Research & Biomarkers) 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.
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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 (Research & Biomarkers)- 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.
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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 dat
• 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.
• Function in highly collaborative, cross functional team (EU/US) emphasize with networking.
• Open to work and to share information across different groups, as well as identify key needs.