Quantitative Systems Biologist (m/f/d)

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

tl;dr: Graph is an R&D-focused early precision immunology & drug discovery startup. This is a research position for scientists who want to tackle immune-mediated disease in a systematic way – by bridging systems-level insights with targeted hypotheses and putting them to the test in the lab.

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 pre-clinical understanding of the complex underlying disease biology.

You will be joining an early stage techbio company aimed at disrupting drug discovery and development in the immunology space – 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 drug discovery company. As natives of both tech and bio spaces, we deeply appreciate the unique challenges that come with both.

Consider joining us if you want to co-create innovative tech that addresses a critical unsolved problem at the root of drug discovery: effectively exploring the causal mechanisms of disease through more realistic models prior to designing therapeutics.

Your role

• Research role at the interface of computational and lab biology.
• 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 or M.Sc. with equivalent experience in translational biology, computational biology, or related field, with a strong quantitative component. Interdisciplinary candidates are encouraged to apply.
• Strong research interest and prior track record in (systems) 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 75,000€ for this position. However, the actual salary will be higher, based on the candidate's qualifications and experience.

About Us

Graph is a precision immunology techbio that leverages perturbation modeling from primary patient cell samples combined with multi-omics data to deliver transformative targeted therapies and biomarkers for immune-driven diseases. Graph believes that due to an incomplete understanding of complex immune-mediated diseases, millions of patients are left without adequate treatment options - and AI trained with complex disease data can solve this.