Build the Future of
Drug Discovery
Join a team working on one of science's hardest problems. We're combining cutting-edge AI with deep domain expertise to compress the 10–15 year drug discovery timeline—and we'd love your help.
Why WeDaita?
We're a small, focused team with a big mission. Here's what it's like to work here.
Drug discovery takes 10–15 years and costs over a billion dollars per approved drug. Every line of code you write chips away at that number. This isn't incremental—it's the kind of problem you can dedicate a career to.
You'll work with the latest large language models, multi-agent orchestration, and the WeDaita MCP framework—not PowerPoint decks about AI. This is hands-on, production-grade AI research engineering.
Our team is distributed. We optimise for output and trust, not office hours. Async by default, with regular syncs that actually matter. We believe the best people should be able to work from anywhere.
Open Roles
We hire selectively and move fast when we find the right person.
Building AI for drug discovery is not just a technology challenge — it is also about connecting the right science, people, and partnerships together. At WeDaita, we are developing AI solutions to help accelerate biomedical and pharmaceutical research, and we are now looking for a potential co-founder / early-stage partner focused on Marketing & Business Development.
- Someone who understands biotech, pharma, or AI markets and can speak credibly to both scientists and business leaders
- A natural relationship builder who enjoys developing strategic partnerships and opening doors
- Experience in BD, GTM strategy, fundraising, or startup growth — ideally in life sciences or deep tech
- Genuinely excited about the future of AI-driven drug discovery and what it means for patients
- Company positioning, messaging, and go-to-market strategy from the ground up
- Strategic partnerships with pharma, biotech, academic institutions, and investors
- Fundraising narrative and investor relations as we grow
- Building and leading the commercial team as the company scales
We don't have any active postings at the moment, but that can change quickly. If you're excited about what we're building, we always want to hear from strong candidates — especially those with a background in computational biology, ML engineering, or biomedical data science.
Our Values
These aren't words on a wall—they're the principles we hire against and hold each other to.
We don't oversell. Every claim we make about our platform is grounded in reproducible evidence. Science keeps us honest.
We default to sharing context, not hoarding it. Team members know where the company stands, what's hard, and what we're betting on.
Moving fast doesn't mean cutting corners. We ship quickly and we validate carefully—because in drug discovery, errors compound.
The problem is too big for any one person. We hire collaborative people who want to make the team smarter, not just themselves more visible.
Don't See Your Role? Reach Out Anyway.
If you believe in what we're building and think you can contribute, we want to hear from you. The best way to start is a conversation.