Software Engineering Lead

August 3

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Arcadia Science

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Research and development company leveraging the biology of emerging research organisms

11 - 50

Description

• Set strategic software engineering project goals with the CEO • Work with the Arcadia leadership team to strategize the growth of the software engineering team • Cross functional collaboration with Discovery Research and Start-Up Studio teams; use your knowledge of biology to communicate effectively with other functions at Arcadia • Oversee the software engineering process to build useful, fast, scalable versions of Arcadia’s unique platform tools with an eye on UI/UX design • Engineer workflows and tools to increase throughput and predictability of the core inference platform • Provide software engineering support, build infrastructure, conduct code reviews, and ensure computational fluency across other departments at Arcadia (lead trainings or workshops) • Utilize machine learning/AI to scale and improve Arcadia’s platform predictions • Work with the software engineering team to help drive a data centric initiative around imaging data (microscopy data that is generated in-house, a complement to genome data used for predictive modeling in biology) • Diversify data modalities beyond sequencing alone; thinking holistically about what kinds of datasets Arcadia will ultimately need to level up the ability to predict biology (that's Arcadia’s central research question at this time) • Drive the culture of the software engineering team to be the “Arcadian” flavor of entrepreneurship, science, and collaboration

Requirements

• PhD or Master’s degree level education is preferable; Bachelor’s degree required • 3-5+ years of experience in a leadership or senior management position at a scaling, computationally-focused biotech start-up • Software engineering team growth and leadership experience is required (min 5+ direct reports) • Strong software development expertise at scale, translating ambiguous problems into clear technical solutions • Background in data science, machine learning and/or artificial intelligence, open source software and cloud computing • Experience working in a biotech/therapeutics start-up environment (i.e. using genomic/clinical data to develop predictive therapeutics, looking at sequencing data, using AI to predict drug targets, or building predictive platforms or tools to support research and drug development, etc.) • Experience taking a software product from concept to market is required; ideally experience taking a scientific/research idea through the product life cycle starting from the very early stages and guiding the research process around it • Experience with early-stage infrastructure development and building large-scale biological data sets; ideally working with different data modalities (sequencing, imaging, etc) • Knowledge of molecular biology so they can map tools to scientific decision making process in biological research and collaborate with the Discovery Research team • Ideally have experience with biological imaging data in order to help drive a new initiative around microscopy data generated in-house • An experienced people manager; able to meet people where they are in their learning journey