Systems Biologist

We are building a next-generation platform (BioGPU + PathwayLight) that connects high-content experimental data to biological mechanisms and therapeutic targets.

We are looking for a rare profile who can bridge biology and software — someone who understands that biology is not just data, but a dynamic system of relationships.

Company Description

Anima Biotech is the creator of the Biology GPU, a revolutionary platform that enables AI models to compute visually and reason inside living cells. By integrating a proprietary tech stack with a dataset of 2B+ pathway images, we’ve created a closed loop for AI-scale biological experimentation.

What you’ll do

• Design representations of biological systems that connect:

- genes, proteins, pathways, and phenotypes

- multi-omics data and imaging readouts

• Translate experimental outputs into structured, machine-readable biological insights
• Work closely with software engineers to implement scalable architectures for:

- pathway modeling

- hypothesis generation

- target identification

• Collaborate with AI/LLM systems to guide:

- hypothesis generation

- experiment design

• Define and build “biological modules” that can be reused across projects

Who you are

• Background in Systems biology / computational biology/bioinformatics

• Strong intuition for:

o signaling pathways

o cellular mechanisms

o disease biology

• Comfortable working with: graphs, networks, or pathway models

• Able to translate between biological questions ↔ computational representations

• Experience (or strong interest) in:

o multi-omics data integration

o high-content imaging

o AI/ML/LLMs in biology

Bonus (highly valuable)

• Experience with:

o graph databases (Neo4j, etc.)

o knowledge graphs or network biology

o causal inference

• Prior work on:

o drug discovery

o target identification

o mechanism of action

What makes this role unique

• You will define how biology is represented in software — not just analyze data

• You will directly influence how hypotheses are generated and tested experimentally

• You will sit at the interface of:

o wet lab science

o AI systems

o software architecture