
1 - 10 employees
Founded 2025
💰 $180k Grant on 2025-04
Clera is a company that displays an onboarding/setup message to users: "Please wait while we prepare everything for you. " Based on this single line of text, the company's specific product, service, or industry cannot be determined with confidence. The message suggests Clera provides a user-facing digital service or application that performs setup or provisioning, but there is insufficient information to identify a precise industry.
🔥 11 minutes ago
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1 - 10 employees
Founded 2025
💰 $180k Grant on 2025-04
Clera is a company that displays an onboarding/setup message to users: "Please wait while we prepare everything for you. " Based on this single line of text, the company's specific product, service, or industry cannot be determined with confidence. The message suggests Clera provides a user-facing digital service or application that performs setup or provisioning, but there is insufficient information to identify a precise industry.
• Define and lead the scientific vision and research roadmap for early-stage AI + wet-lab products. • Design and execute key molecular biology, biochemistry, or genomics experiments to validate models and assays. • Collaborate closely with engineers and ML researchers to translate experimental needs into computational requirements. • Implement and oversee lab automation and data pipelines to scale experiments and improve reproducibility. • Prototype computational tools and analyses; contribute code or notebooks to integrate wet-lab data with models. • Mentor and recruit early scientific hires; establish laboratory best practices and safety standards. • Apply AI/ML methods to biological data within aerospace and defense sector constraints.
• PhD in Biotechnology, Genomics, Biology, or a closely related field. • Senior-level research experience in molecular biology, biochemistry, genomics, biotech, or a related discipline. • Demonstrated experience applying AI/ML to biological data (computational biology or bioinformatics). • Experience in aerospace or defense domains and understanding of sector-specific constraints. • Comfortable with computational thinking and coding; ML experience is a plus but not required. • Training or research background at leading research institutions or universities.
• equity participation expected to be a meaningful component of the overall package
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