Bioinformatics Data Scientist

Isomorphic Labs

Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease. The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured starting with better and faster drug discovery.  Come and be part of an interdisciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring and collaborative culture. The world we want tomorrow is the one we’re building today. It starts with the culture at this company. It starts with you.    ABOUT ISO Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed. Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI’s powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world’s most devastating diseases. We have built a world-leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design. Every day, and with each new breakthrough, we’re getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI.   YOUR IMPACT  This is an exciting opportunity for versatile software engineers to be working in a fast-paced and research-facing environment within a small team. You will contribute significantly to a world-class ML-based software platform set to transform the bio-pharmaceutical world. We need creative thinkers ready to redefine how drugs are designed with the power of AI. Working in a highly creative, iterative environment, you will be partnering with leading engineers, scientists and ML researchers to build the critical platform driving that transformation. This is a newly created role and you will need to use your previous experience and show initiative in order to fully carve out your contribution. WHAT YOU WILL DO Depending on your experience and background, you can be expected to work on one or more of the following domains: * Software engineering of data services for data storage and integration layers * Ingestion, transformation and serving of scientific data for scientific applications * Building a state-of-the-art platform for conducting research with high velocity and reliability * Collaboration with scientist and ML researchers on project work SKILLS AND QUALIFICATIONS  ESSENTIAL * Experience in data engineering and service-oriented architectures * Extensive software engineering experience with software design and architecture skills * Extensive enterprise programming experience writing production code using Python * Experience building, deploying, and maintaining secure and scalable production systems on GCP * Experience with Kubernetes and cloud computing * Demonstrated ability to work in multi-disciplinary teams and environments * Great degree of adaptability and a willingness to work across domains and different parts of the tech stack when needed * Demonstrate ongoing career progression / trajectory and a passion for learning * Msc in computer science, or equivalent experience NICE TO HAVE In addition to the essential qualifications listed above, we also expect successful candidates to have some of the following qualifications: * Experience with the management of scientific and experimental wet lab data in a pharma context * Experience with life sciences data, including bioinformatics, computational chemistry, and biomedical research data * Experience building backend systems for web applications, using technologies such as Django, SQLalchemy, Pydantic, PostgreSQL, DBT * Experience designing, implementing and maintaining relational data models with Python-based interfaces * Hands-on experience with cloud engineering in a compute-heavy environment, preferably on GCP CULTURE AND VALUES We are guided by our shared values. It's not about finding people who think and act in the same way. These values help to guide our work and will continue to strengthen it.  Thoughtful Thoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day. Brave Brave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less. Determined Determined at Iso is the way we pursue our goal. It’s a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won’t wait, so neither should we. Together Together at Iso is about connection, collaboration across fields and catalytic relationships. It’s knowing that transformation is a group project, and remembering that what we’re doing will have a real impact on real people everywhere. CREATING AN EXTRAORDINARY COMPANY We believe that to be successful we need a team with a range of skills and talents. We're building an environment where collaboration is fundamental, learning is shared and every employee feels supported and able to thrive. We value unique experiences, knowledge, backgrounds, and perspectives, and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. HYBRID WORKING It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in). If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re selected for an initial screening call. Please note that when you submit an application, your data will be processed in line with our privacy policy. >> Click to view other open roles at Isomorphic Labs

Isomorphic Labs

Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease. The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured starting with better and faster drug discovery.  Come and be part of an interdisciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring and collaborative culture. The world we want tomorrow is the one we’re building today. It starts with the culture at this company. It starts with you.    ABOUT ISO Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed. Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI’s powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world’s most devastating diseases. We have built a world-leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design. Every day, and with each new breakthrough, we’re getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI.   YOUR IMPACT  You will collaborate to build a high-fidelity biological data layer that serves as the foundation for machine learning at Isomorphic Labs. Moving beyond raw data ingestion to create curated biological datasets, you will ensure model training is consistently grounded in high-quality, standardized, and version-controlled biological data. Harmonizing disparate public datasets and internal data into a coherent representation, you will unlock the information needed to fuel our mission to solve all disease. Working in an interdisciplinary environment, you will partner with ML Research, Computational Biology, Drug Development, and Chemistry teams to drive the adoption of standardized bioinformatics primitives and best practices into their daily workflows. Your work will provide projects with a significant head start by solving complex bioinformatics problems at the platform level. Ultimately, your contribution ensures that our models are built on a robust and integrated data resource, producing predictions on a coherent view of biology, directly accelerating our Drug Discovery programs. WHAT YOU WILL DO  * Develop and operate large-scale bioinformatics pipelines for high-throughput data analysis, ensuring reliable processing from raw data (e.g., FASTQ, BAM, mzXML) to ML-ready datasets. * Apply bioinformatics best practices to the ingestion and harmonization of complex datasets, ensuring model training is grounded in high-quality, version-controlled biological data, and coherently integrated datasets. * Harmonise disparate public databases (e.g., Ensembl, UniProt, Reactome, Open Targets), implementing rigorous versioning and mapping strategies to mitigate identifier collisions, data loss, and semantic drift across releases. * Act as a strategic partner to our ML Research, Computational Biology, Drug Development, and Chemistry teams, championing the adoption of the internal bioinformatics platform and standardized biological data primitives into their daily research workflows. * Participate in research projects as a "Deployed Engineer", providing customised solutions, and identifying technical gaps, while ensuring project-specific insights are contributed back into the core bioinformatics platform. * Provide documentation, guidance, and training on data resources and curation processes to the wider organization. SKILLS AND QUALIFICATIONS  ESSENTIAL: * Proven experience with the large-scale processing of raw bioinformatics data (e.g., FASTQ, BAM, mzXML). * A demonstrable track record of delivering high-quality bioinformatics outputs across varied modalities (e.g., genomics, proteomics, functional genomics, systems biology, single cell). * Experience delivering bioinformatics solutions directly to research teams, scientific communities, or industry projects, with a strong focus on user enablement. * Experience writing production-grade code in Python and developing automated, scalable bioinformatics pipelines. * PhD or MSc in Bioinformatics, Computational Biology, or a related field, or equivalent practical experience in a biopharmaceutical or research environment. NICE TO HAVE: * Experience with domain-specific workflow systems (e.g., Nextflow) for scaling high-throughput pipeline execution. * Familiarity with general-purpose data orchestration and processing frameworks (e.g., Dagster, Apache Beam) for integrating research pipelines into a production platform * Familiarity with building and maintaining bioinformatics infrastructure on Google Cloud Platform (GCP). * Familiarity with modern, high-performance DataFrame libraries (e.g., Polars), and relational data modeling and analysis (SQL). * Exposure to machine learning concepts and the specific data requirements for training ML models. * Demonstrable experience working with regulated PHI data. * Extensive experience in software development with Python. CULTURE AND VALUES We are guided by our shared values. It's not about finding people who think and act in the same way. These values help to guide our work and will continue to strengthen it.  Thoughtful Thoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day. Brave Brave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less. Determined Determined at Iso is the way we pursue our goal. It’s a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won’t wait, so neither should we. Together Together at Iso is about connection, collaboration across fields and catalytic relationships. It’s knowing that transformation is a group project, and remembering that what we’re doing will have a real impact on real people everywhere. CREATING AN EXTRAORDINARY COMPANY We believe that to be successful we need a team with a range of skills and talents. We're building an environment where collaboration is fundamental, learning is shared and every employee feels supported and able to thrive. We value unique experiences, knowledge, backgrounds, and perspectives, and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. HYBRID WORKING It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in). If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re selected for an initial screening call. Please note that when you submit an application, your data will be processed in line with our privacy policy. >> Click to view other open roles at Isomorphic Labs

Adaptyv Bio

Adaptyv is building an automated lab that lets AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We’re growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build out the data science layer of Adaptyv's foundry — the work that turns tens of thousands of raw, messy experimental readouts into clean, trustworthy, structured data that our customers, our models, and our own scientists can rely on. Binding (BLI/SPR), developability, biophysical, and functional assays all produce data at scale; your job is to make that data correct, comparable, and useful. This sits at the intersection of three things: data quality (is this number real, or an artifact?), bioinformatics (linking experimental results back to sequence, structure, and protein design), and dataset building (turning foundry output into the kind of high-quality, benchmarkable data that frontier AI labs actually want). You'll work shoulder-to-shoulder with the lab scientists who run the assays, the software team who own the pipelines, and the customers who train models on what we produce. This is a hands-on build role, not a management one. WHAT YOU'LL DO * Own the scientific logic of data quality across the foundry: define what "good data" looks like for each assay type — expected signal ranges, control thresholds, failure modes, edge cases — and turn it into automated checks. * Build anomaly detection and QC models that catch bad data the eye would miss: assay drift, instrument variability, plate effects, false passes and false fails — and distinguish real signal from noise statistically. * Work with the software and ML teams to specify, review, and improve the automated data pipelines that process instrument outputs, feeding back precise requirements for what to flag, auto-reject, or route to human review. * Connect experimental results back to the protein side — sequence, structure, and design — so wet-lab data and computational models reinforce each other. * Turn foundry output into structured, documented, benchmark-grade datasets that are a genuine asset for our customers and for training and evaluating protein-design models. * Apply real statistical rigor to multi-condition data at scale — thousands of samples across hundreds of simultaneous experiments — and make the results interpretable and comparable across runs. WHAT WE'RE LOOKING FOR * Strong data science / bioinformatics background — you're fluent in Python (pandas, numpy, the scientific stack) and comfortable owning messy, real-world experimental data end to end. * Genuine biology grounding — you understand proteins, assays, and sequence/structure/function well enough to know what the data means, not just how to process it. You don't need to be a bench scientist, but you can't be biology-blind. * Statistical maturity — process control, anomaly detection, handling variability and batch effects; you can tell drift from noise and defend the call. * Prolific builder with the receipts to prove it. You've shipped a lot — pipelines, tools, models, datasets — and can point to concrete things you built end to end and put into real use, not prototypes that died in a notebook. You move fast, systematize what works, and have no patience for babysitting a fixed dashboard. * AI-native builder. It's 2026 — you build with coding agents like Claude Code as a default, and you have sharp judgment about what they produce. * Interdisciplinary by instinct. You're energized working across the lab bench, software, and ML, and you treat automation and data infrastructure as part of your job. * Bonus: experience with protein/sequence-structure data (bioinformatics tooling, structural data), ML on experimental data, or building datasets for model training and benchmarking. DETAILS * Location: Lausanne, Switzerland (on-site) * Type: Full time * Start date: ASAP Application deadline We are reviewing applicants on a rolling basis.