Translational Systems Biologist

Be at the forefront of AI-driven precision immunology for drug discovery

tl;dr: Graph is an R&D-focused precision immunology techbio. This is a research position for a scientist who wants to deeply understand immune-mediated disease on a systems level to discover new and better therapeutics. Curiosity-driven candidates with mixed wet/dry lab experience are highly encouraged to apply.

Full: Immune-mediated diseases affect hundreds of millions of people world-wide, but fewer than 12% of new drugs reach approval, largely due to insufficient preclinical understanding of the complex underlying disease biology.

You will be joining a preclinical techbio company building a differential drug discovery and development pipeline in the immunology space. We do this by precisely understanding disease biology through iterative, causal discovery starting from realistic primary patient models. Our founders have authored several landmark publications in the precision medicine space, previously exited a precision medicine startup, and built a unique translational research program in a large pharmatech. As natives of both tech and bio spaces, we deeply appreciate the unique challenges that come with both.

Apply if you want to understand the causal mechanisms of disease through multi-modal, realistic primary cell models prior to designing therapeutics.

Your role

• Research role at the interface of computational and lab biology, with a focus on experimental design and analysis
• Design, process, and analyze complex perturbation experiments to gain systematic insight into immune disease using primary human samples
• Integrate data from single-cell RNA sequencing and high-content imaging, contributing to a robust lab-in-the-loop system
• Collaboratively drive scientific direction and experiments in our labs

Your profile

• Ph.D in biology, computational biology, or a related field, with a strong quantitative component.
• Strong research interest and prior track record in immunology is a plus.
• Experience with biological data analysis and reproducibility best practices in Python or R.
• Excellent scientific communication skills, both within a team and in presentations towards external stakeholders.

Why us?

• The opportunity to be part of a pioneering, highly collaborative team with a purpose
• Healthy participatory culture from the beginning: you will significantly shape company decisions, culture, and strategy
• A compensation package including salary, benefits, and a participation plan with long-term upside

This is optionally a hybrid position requiring a few days per week onsite. The base of operations will be in the Klosterneuburg area on the ISTA campus, roughly 30 minutes outside of Vienna and easily reachable via shuttle bus or bike.

In keeping with Austrian legal requirements, we advertise a minimum gross yearly salary of 80,000€ for this position. However, the actual salary will be higher, based on the candidate's qualifications and experience.