We're Arcadia Science, an evolutionary biology company founded and led by scientists. We're seeking a scientist with deep experience in protein evolution to substantially expand our platform. The Platform Scientist will be part of a collaborative team developing approaches to investigate protein evolution in an integrative way, considering amino acid sequences, protein structures, and protein functional variation.
Requirements
- Produce and analyze workflows to interrogate and integrate protein information across non-model clades.
- Identify existing data gaps and help develop strategies to address these to better capture and study protein variation across scales.
- Develop approaches to infer evolutionary shifts in protein composition, structure, and function over time.
- Conceptualize and prototype novel computational tools using protein information to expand Arcadia's organism and target selection capabilities.
- Troubleshoot computational challenges independently and creatively.
- Collaborate with cross-disciplinary teams to validate computational tools, contribute to shared research goals, and accelerate broader scientific efforts.
- 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.
- Ph.D. or equivalent experience in Evolutionary Biology, Molecular Biology, Computational Biology, or a related field.
- At least 1 year of full-time relevant scientific experience post-PhD.
- Demonstrated expertise in analyzing protein features across biological e.g., amino acid sequence, protein structure, protein function, and evolutionary scales.
- Demonstrated expertise in the inference of evolutionary processes.
- Comfort working with data from non-model organisms and ideally across clades.
- Experience with a range of computational biology approaches, including the analysis of genomic data, phylogenetics, and protein structures (experience with protein structural inference, and/or protein language models is a plus).
- Familiarity with data analysis using tools like Python or R.
- Ability to align with the team to achieve organization-wide goals and organize effective collaborations.
- An excellent verbal and written science communicator for both general and technical audiences.
Benefits
- Competitive compensation
- Benefits
- Equity offering
- Paid Time Off
