Recent submissions

Comment · 7 months ago
Ploid AI | Barcelona, Spain | REMOTE (preferably hybrid) | Core Team | Full-time

We're building an AI-first bioinformatics platform to empower life science researchers with agentic AI and LLMs. Backed by pre-seed funding, a government grant, and customers from biotech, agrotech, and pharma companies, we're looking for a full-stack engineer to join as a core member.

What we're looking for:

• Strong full-stack experience across Go, TypeScript, and Python (Rust is a plus)

• Hands-on AWS infrastructure work (you've built and maintained production cloud environments)

• Experience with multi-tenant architectures: isolation strategies, auth, data partitioning

• Comfort with AI/ML devops: deploying and orchestrating model-serving pipelines, managing GPU workloads, CI/CD for ML systems

• Willingness to own problems end-to-end, from system design to shipping

Nice-to-haves (not all required): LLM integration, RAG systems, HPC infra, cloud/on-prem hybrid systems

About us: We're a team of engineers and scientists with strong academic and industry backgrounds (ex-BCG, PhD in Plant Biotech and Bioinformatics, Mathematics, M.Sc. AI, PhD in Electrical Engineering). We're committed to building something impactful, technical, and genuinely useful for life science.

Apply: [email protected]

More about us: https://ploid.ai

We also consider internship requests from strong student candidates for research work.

Thanks to everyone who's reached out through previous HN posts, this community has helped us find amazing people.

Comment · 10 months ago
Ploid AI | Barcelona, Spain | HYBRID (preferably on-site) | Core Team | Full-time + Equity

We’re building an AI-first bioinformatics platform to empower life science researchers with agentic AI and LLMs. Backed by pre-seed funding, a government grant, and real demand from biotech and seed companies, we’re looking for versatile engineers to help us shape the future of AI in genomics.

What you’ll do:

• Architect and build AI workflows, agentic interfaces, and data pipelines

• Work across the stack: Go, Python, TypeScript

• Contribute to system design, infrastructure (AWS, Docker, Terraform), and devops

• Collaborate closely with scientists and iterate from prototype to product

• Help define our technical culture and roadmap as a core founding member

Nice-to-haves (not all required): LLM integration, RAG systems, HPC infra, ML, cloud/on-prem hybrid systems

About us: We’re an early team of engineers and scientists with strong academic and industry backgrounds (ex-BCG, PhD in Plant Biotech, M.Sc. AI). We’re committed to building something impactful, technical, and genuinely useful for life science.

Apply: [email protected]

More about us: https://ploid.ai

We also consider internship requests from strong student candidates.

IMPORTANT: We are now seeking for expertise in frontend / full-stack and PhDs with AI applied to life science bioinformatics (multiomics and/or chem)

Thanks everyone for all the support in our August and September posts! HN really helped finding amazing engineers.

Comment · 1 year ago
Comment · 1 year ago
Comment · 2 years ago
Thanks for commenting!

This is a great point, in fact is the main purpose of the model. The model is validated against genomes with variations which were never seen to check its prediction capabilities.

AFAIK, variants are created either by changing/adding/shuffling already known genes. And not trying to create an unknown mutation of a gene we never saw before. Therefore, our thesis is that with enough information we can capture the effect of the gene in the final product.

Of course, there is epigenetics as well; which is tackled with additional information about the environment.

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