Convoke is building the AI-native operating system for drug development.
Backed by Leading Investors
And others, including ACME, Liquid2, Audacious, Comma Capital, Not Boring Capital, Lux Capital, and angels including Qasar Younis, Erik Torenberg, and others leaders in AI and biotechnology.
The AI-native operating system that unifies data, automates workflows, and accelerates critical milestones
Explore the Platform
Help us increase society's capacity to bring medicines to patients
If you are excited about working at the intersection of artificial intelligence and biotechnology, we want to hear from you
Member of Technical Staff
Multiple locations. In person, 5 days a week
About the Role
Members of technical staff are full-stack contributors that own projects and jump in to flexibly solve problems as they arise. Your tasks will range widely, depending on the needs of our customers; on any given day you might be evaluating data pipelines, building a new frontend component, or training predictive models on top of our structured data assets.
The ideal candidate enjoys rapid prototyping and iterating quickly with customers. You’re energized by a high pace startup environment, and you’ve likely been following developments in LLMs closely.
The company is based in San Francisco, CA and we are looking to add engineers to the in-person team there. We will also consider Boston, Zurich or London for exceptional candidates.
What You'll Be Responsible For
Develop new features for our early product, working across large scale data pipelines and web application development
Have end to end ownership over significant features and areas of the codebase
Work directly with our customers to understand and address feature gaps in our product
Take on long-duration, technically challenging projects to build new capabilities into our product
What You Bring
2+ years of experience as a generalist software engineer that is flexible working across the stack
CS / computer engineering degree (or equivalent)
Excited to work in a startup environment, including shipping quickly to address customer feedback
Bonus Skills
Previous experience at high growth startups
Full stack experience, ideally with React and Python
Experience working with LLMs, particularly with LLM evals
Experience training and fine-tuning deep learning models / LLMs
Demonstrated interest in the life sciences
Life Science Specialist
San Francisco, CA, USA In person, 5 days a week
About the Role
Life science specialists are domain experts that work closely with customers to help them get value from our software products and identify new use cases.
The ideal candidate is excited about the potential that technology and artificial intelligence has to reinvent workflows in the biotech and pharmaceutical industry. You have spent enough time in the industry to have experienced our customers’ pain points firsthand. You’re likely an early adopter of large language models (LLMs), and you’ve actively tried to incorporate them into your work. You’re a student of the biotechnology industry, and seek our opportunities to deepen your understanding; you have likely read several books on the history of pharmaceuticals and/or are a regular reader of industry blogs (e.g. Derek Lowe’s In The Pipeline).
What You'll Be Responsible For
Play a key role in business development; source customers and develop technical and commercial scope for customers engagements
Support service and consultative engagements as needed to allow customers to get value from the Convoke product suite
Identify customer use cases that should be supported by Convoke; prioritize gaps between our current offerings and customer use cases and help shape the product roadmap
Identify and map sources of proprietary data that could provide advantage to Convoke: conferences, literature, real-world evidence, etc.
What You Bring
2+ years of experience in an life science investment, consulting, or business development/insights role at a biotech or pharmaceutical company
MD or MS / PhD in a life sciences discipline (or equivalent experience)
Excited to work in a startup environment, including turning over analysis and reports quickly in response to customer needs
Willingness to travel to visit customers and to work on-site (up to 40%)
Bonus Skills
Previous experience at high growth startups
Data science, computational biology, machine learning, or programming experience
