The company are on a mission to fundamentally transform how scientific discovery happens. Every year, the life sciences industry spends over $12Bn on toxicity testing alone - tests that are slow, expensive, and often involve animal studies. We can do better.
By replacing traditional lab experiments with powerful AI-driven predictions, we're accelerating the development of life-changing drugs at a fraction of the current cost.
Founded in 2023, the company are already working with leading names in the pharmaceutical industry, with ambitious growth plans for the road ahead.
Your Impact
You'll wear two equally important hats:
Hat #1 - Drive customer drug programs forward
Analyze AI/ML predictions on customer's chemistry to drive towards decisions on next steps
Deliver modeling performance, analysis of customer data, and how to interpret the results of AI/ML directly to scientific customers
Drive the design and development of the platform based on customer needs and novel ideas you discover interacting with customers
Work at the intersection of chemistry, biology, and product design to push the technology forward
Have a tangible impact on the success of 100s of drug programs and influence many of the world's best drug hunters
Hat #2 - Lead platform research & development
Research novel machine learning representations of chemistry which make drastic improvements on SOTA
Lead experimental design and execution of hypotheses to improve the core chemistry models
Creating new methods to interpret model predictions and generate novel chemistry which matches customer needs
Develop new evaluations for the model which measure its utility for customers
Improving the foundational processing of molecular data (stereochemistry, ionization, tautomerization) and how its used in the product
You'll Thrive If You:
Have deep chemistry knowledge, with experience across the design-make-test-analyse (DMTA) cycle of drug discovery
Can communicate effectively with wet-lab and dry-lab scientists and engineers alike, and love to bridge the gap between different domains
Have experience in applying AI/ML in a drug discovery setting
Love building relationships with scientific customers
Your Toolkit:
Python ecosystem (numpy, pandas)
Cheminformatics libraries (RDKit, datamol)
Data processing tools (SQL, cloud computing)
Scientific computing and visualization
Presentation and communication skills
What's In It For You?
Competitive Salary: Up to $250K, based on experience
Founding Team Equity: Share significantly in the company's success
Direct Impact: See your work accelerate real drug discovery programs
Growth Opportunity: Grow with the company as they scale, you might see yourself as a future leader
Unique Career Path: Develop both technical and client-facing expertise
Interview Process:
We believe in a straightforward, transparent interview process that typically takes 2-3 weeks:
Initial Conversation - Talk with me about your experience and aspirations, while learning more about the role and company
CEO Meeting - Deep dive with your future manager; the conversation will focus on your technical experience as well as culture fit. Take your opportunity to as many questions as you can, it's a two-way process after all. (30-45min)
Technical Assessment - Technical discussion with the Co-Founder, you will be set up to complete a python-based coding exercise.
On-Site - Meet the founding team, present relevant research you're passionate about, and experience the collaborative culture firsthand
Keywords: Cheminformatics, Computational Chemistry, Medicinal Chemistry, Machine Learning, Deep Learning, Artificial Intelligence, AI, Chemistry, Property Prediction, Toxicity, Drug Discovery, Biotechnology