Arcadia Science builds an integrated ecosystem that accelerates scientific progress by fostering open science principles. The company focuses on innovating throughout the research, development, and commercialization pipeline, enabling researchers to collaborate, share data, and translate discoveries into marketable solutions. By combining cutting-edge technology with a transparent, community-driven approach, Arcadia Science distinguishes itself as a catalyst for rapid, collaborative innovation in the scientific sector.
Open Positions
Core Technologies Lead
Ph.D. in life sciences, 10+ years experience in wet-lab research, 2+ years experience in scaling a biotech start-up, industry team management experience
Platform Fellow
PhD in a quantitative field, strong programming skills, and experience with statistical modeling, machine learning, or phylogenetic methods
Evolutionary Cell Biologist
Ph.D. in Cell Biology or related field with 1+ years of experience in cell- or organism-based assay development and molecular biology techniques
Evolutionary Cell Biology Fellow
PhD in Cell Biology, Molecular Biology, or a related field with hands-on expertise in cell or organism-based assay development
Research Associate
1+ years lab experience, knowledge of facilities maintenance, ability to work collaboratively, and independent problem-solving skills
Molecular Biologist
PhD or equivalent experience. 3+ years of post-PhD experience. Strong hands-on skills in mutagenesis and NGS optimization. Excellent project management skills
Project Scientist
PhD, 3+ years post-PhD experience, programming skills, GitHub knowledge, wet lab experience, leadership skills, writing skills
Choose-Your-Own-Adventure
5+ years of experience, demonstrable expertise, and relevant references required
Project Director
PhD in life sciences or related field, 3-5+ years leading projects, and research operations/management familiarity are essential. Strong communication, organizational skills, and a dedication to structured execution are also vital
Innovation Fellow
PhD in life sciences, bioengineering, or a related field, hands-on experience in wet lab work and computational analysis, and strong programming skills