ALLOX is a spin-off of the Centre for Genomic Regulation (CRG) and draws on the expertise and technology developed in the lab of Ben Lehner. The company was born out of the realisation that combining systematic mutagenesis, high-throughput phenotyping and biophysical modelling has the potential to revolutionise drug development but also transform biotechnology in general. In February 2025 we relocated to a new incubation space in the Barcelona Science Park (surrounded by 6 research institutes and over 70 different companies), and our immediate goal is to identify allosteric switches in all proteins and then leverage this unprecedented resource to rapidly develop novel medicines to treat human diseases. Our long-term vision is to become a leader in programmable biology, building the next generation of tools to predict, design and engineer new protein functions. We believe in a future where humanity will be able to harness the power of biology to solve our most pressing issues. We are expanding our interdisciplinary team with highly motivated individuals who are excited by this bold vision, share our sense of urgency, but are not willing to compromise on integrity. At ALLOX the success of our revolutionary scientific approach is as important to us as our mission to create a healthy, honest and respectful culture, both internally and with our partners.

For additional information, please visit: https://www.allox.bio/

ALLOX is seeking an adaptable and dependable data scientist or software developer with experience building scalable, cloud-native bioinformatics workflows to join our growing startup as a Bioinformatics Pipeline Engineer / Data Scientist. You will be an integral part of a multidisciplinary team solving data flow and automation problems at the intersection of Deep Mutational Scanning (DMS), AI and Structural Bioinformatics for Drug Design.

Your primary responsibility will be to design and maintain software infrastructure to support ALLOX’s Integrated Drug Discovery Platform, which uses high-throughput mutagenesis and phenotypic screening in yeast to map and target therapeutic hotspots at scale. This will involve the following tasks: (1) design, deploy and maintain bioinformatics pipelines to automate computational analyses across both experimental and computational teams, ranging from routine lab quality control tasks to AI workflows for hit discovery and protein design, (2) expand ALLOX’s computational target prioritisation pipeline to identify high-value, therapeutically actionable protein-protein interactions compatible with our hotspot mapping platform, (3) apply data science techniques to the analysis of hotspot maps to inform drug discovery decisions.

The ideal candidate will have a hybrid skill set with domain knowledge in either biochemistry, molecular biology or genetics as well as strong data science skills and demonstrated experience developing reproducible analysis workflows. Close communication and collaboration with both experimental and computational teams will be crucial to understand priorities and identify opportunities for improvement. This position is therefore ideally suited to an engineer and optimiser that is passionate about building scalable, cloud-native solutions that optimise data flow and reproducibility. Experience with the Nextflow/Seqera ecosystem, Google Cloud Platform and collaborating with bench scientists is highly advantageous. If you share our sense of urgency to bring novel and better drugs to address unmet needs and thrive in a fast-paced, multidisciplinary environment, don’t hesitate. Join ALLOX and help us make our mission a reality!

To determine starting pay, we consider multiple job-related factors including a candidate’s skills, education and experience, the level at which they are actually hired, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data.

This role is eligible for participation in our Annual Performance Bonus Plan (based on company goals by role level and annual company performance) and all employees are offered Equity, subject to the terms of those plans and associated policies.

In addition, ALLOX also provides our employees:

• 25 days annual leave (excluding public holidays)
• Paid parental leave
• Free drinks, snacks and regular team meals
• Reduced schedule on Fridays year-round

The startup nature of ALLOX provides multiple growth opportunities into other areas of the company. As one of the early employees at ALLOX, your work will have a direct impact on the foundation of a groundbreaking new approach to biotechnology.

Apply for this job here. The interview process includes a take-home assignment to assess your practical skills.

The closing date for applications is March 6th, 2026. We encourage applicants to submit their application at the earliest opportunity as the closing date may be brought forward if a high volume of applications are received.

*Please note jobs may be taken down from our website, this does not mean they have been filled. This is to maintain our candidate experience for current applicants. If you are in the interview process and would like to request a copy of the job description, reach out to your recruiting contact.