Head of Engineering
4 weeks ago
A biotech company based in Berkeley, CA focused on biological research to drive novel therapeutics discoveries is seeking a Head of Engineering with a background in machine learning, molecular biology, and/or biochemistry to join their growing team.
The Opportunity:
As Head of Engineering you will drive strategy across all engineering projects by overseeing the software and experimental engineering teams to enable and accelerate use of internal platform tools in the start-up studio. You will speed up the company's ability to strategically narrow the biological search space by advising on and working through engineering bottlenecks, with an eye on scalability. You will also drive the development of an internal software product that allows our scientists to quickly use platform tools to make decisions and track outcomes.
Key Contributions:
Set strategic engineering project goals with the CEO
Be a part of the leadership team making joint decisions on growth, finance, and operations
Oversee the entire engineering process to build useful, fast, scalable versions of the company’s unique platform tools.
Engineer workflows and tools to increase throughput and predictability of the core inference platform
Oversee software engineering team to productionize tools for broad usability with an eye on UI and UX design
Oversee experimental engineering team to develop and automate cutting edge molecular and imaging-based assays for new startups incubated in house
Utilize ML/AI to scale and improve the company's platform predictions
Build and lead the Engineering teams
Drive the culture of the Engineering function to be the the company's flavor of entrepreneurship, science, and collaboration
Desired Experience:
PhD in computer science, molecular biology, or other life sciences is preferable
10+ years of experience across academia and biotech industry including engineering team or product development leadership within a start-up environment
Strong software development expertise at scale with a background in data science, machine learning, and/or artificial intelligence
Ability to think strategically about connecting the computational and experimental engineering teams' work with an eye on end user & product use case
The ideal candidate will have engineering experience within the biotech industry (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)
Experience taking a product from concept to market
Understanding of both computational and lab experimental tools
Understanding of biology so they can map tools to scientific decision making process in biological research
Experience taking a scientific/research idea through the product life cycle, from concept to market
An experienced people manager; able to meet people where they are in their learning journey
The position will require the individual to be on-site at the Berkeley, California headquarters.
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