A biotech company based in Berkeley, CA focused on biological research to drive novel therapeutics discoveries is seeking a Software Engineering Lead with a background in machine learning/AI, data science, and molecular biology or biochemistry to join their growing team.
The Opportunity:
As Software Engineering Lead you will be overseeing the software engineering team to enable and accelerate use of internal platform tools in the start-up studio. You will collaborate with the Discovery Research and Start-Up Studio team Leads to speed up our 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 software engineering project goals with the CEO
Work with the 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
Oversee the software engineering process to build useful, fast, scalable versions of our unique platform tools with an eye on UI/UX design
Engineer workflows and tools to increase throughput and predictability of the core inference platform
Utilize machine learning/AI to scale and improve our platform predictions
Provide software engineering support, build infrastructure, conduct code reviews, and ensure computational fluency across other departments (lead trainings or workshops)
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 we will ultimately need to level up the ability to predict biology (that's our central research question at this time)
Drive the culture of the software engineering team to be our flavor of entrepreneurship, science, and collaboration
Desired Experience:
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)
Background in data science/engineering, machine learning and/or artificial intelligence, open source software and cloud computing is required
Strong software development expertise at scale, translating ambiguous problems into clear technical solutions
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
The position will require the individual to work on-site at our Berkeley, California headquarters.
We are an equal opportunity workplace; we welcome people from all backgrounds and communities. We provide competitive compensation and practical benefits to keep you happy and healthy so that you can do your best work. Please note that an offer of employment is contingent upon the successful clearance of a reference and background check.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Product Management, Engineering, and Science
Industries
Biotechnology Research
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