Arcadia Science · 1 month ago
Evolutionary Cell Biologist
Arcadia Science is an evolutionary biology company dedicated to developing real-world solutions through biological innovations. They are seeking an innovative and experienced Evolutionary Cell Biologist to generate valuable data and design experiments that leverage biological diversity for therapeutics research.
Biotechnology
Responsibilities
Develop, adapt, and optimize experimental workflows to gather large-scale, high-dimensional phenotypic data using diverse cellular and organismal systems
Identify maximally informative measures for comparing cellular features across organisms
Conceptualize and prototype novel tools and methodologies to expand Arcadia’s capabilities in cell biology
Troubleshoot experimental challenges independently and creatively
Collaborate with cross-disciplinary teams to validate tools, contribute to shared research goals, and accelerate broader scientific efforts
Keep detailed experimental records and documentation (SOPs) for all workflows
Synthesize ideas, data, and findings into fully open-access pubs and engage with the scientific community to maximize impact and garner feedback that improves the work
Qualification
Required
Ph.D. or equivalent experience in Cell Biology, Molecular Biology, Biochemistry, or a related field
At least 1 year of full-time relevant scientific experience post-PhD
Demonstrated expertise in cell- or organism-based assay development, including design, execution, and optimization
Proficiency with core cell biology tools, with a particular focus on those that can gather large-scale, high-dimensional data (e.g., live cell imaging, spectroscopy, etc.)
Comfort working with diverse cellular organisms and systems
Experience with a range of molecular biology techniques, such as cloning, transformation, PCR, genetic manipulation, and protein detection
Ability to align team with organization-wide goals and organize effective collaborations
An excellent verbal and written science communicator for both general and technical audiences. We expect all scientists to actively draft and openly publish their results
Preferred
Familiarity with data analysis using tools like python or R
Benefits
Competitive compensation
Practical benefits
Highly competitive equity offering