Summary
As VP of Engineering, you will design and execute the strategy of technological development with leading research engineers and research scientists. You will also work closely with executives and other VP and Head level managements towards business goals of the company.
Responsibilities
- Develop, implement and improve the company’s key technologies
- Lead and manage engineers to achieve objectives (e.g., motivate the team, manage resources allocations, ensure team’s development etc.)
- Work closely with other VP level leaderships towards business goals and with our business development team to generate and manage projects (including providing insights about technological aspects, creating necessary slides related to technology, discussing with clients etc.)
Skills & Qualifications
Required
Management skills
- Experience of managing 10+ researchers / engineers
- 5+ years working experience as a product owner
- Experience of releasing a software/ hardware product and maintain the service
- Experience of leading machine learning projects with >$1M budget size including cost understanding and calculation, planning and managing budgets
- Experience of setting and managing technological milestones for the company
Technical skills
- PhD in computer science, mathematics, physics, or a related field
- Familiarity with data structures, algorithms, and good development practices
Communication skills
- Strong communication skills to bridge engineers and people from other background
- TOEIC 900, IELTS 7.5 or equivalent (speaking and writing capability is required)
Preferred
- Experience in life science or pharmaceutical industry
- Experience in recruiting and foster company culture among the team
- Skilled at writing technical design documents
- Publishing papers in highly-regarded academic journals or conferences
About SyntheticGestalt
SyntheticGestalt is an AI startup specializing in life sciences. Founded in London and Tokyo in 2018, they focus on drug and enzyme discovery using machine learning.
They're collaborating with research groups in prestigious universities in the UK and Japan, supported by large-scale grants. Their international team has people with backgrounds in entrepreneurship, pharmaceuticals, consulting and ML/AI.
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