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Mainz, Germany | full time | Job ID: 11653 About the Role: BioNTech is driving a variety of digitalization projects, including SAP ERP, MES, and LIMS systems. As part of our growth activities, we are expanding our…
Would you like to join an international team working to improve the future of healthcare? Do you want to enhance the lives of millions of people? Grifols is a global healthcare company that since 1909 has been working…
Job Summary The Associate Director, Clinical Data Warehouse is a member of the Biostatistics and Data Management team and serves as a subject matter expert in server technologies and manages operational activities and…
Our Future Health UK is hiring a Bioinformatics Data Engineer in London to design, build, and optimize scalable genomics data pipelines for clinical research recruitment, working with Python, modern workflow tools, and cloud/containerized infrastructure alongside scientists and engineers.
Builds robust, scalable data pipelines combining bioinformatics and genomic data to identify prospective clinical trial participants for Our Future Health's research programme. Day to day involves Python-based ETL, genomic file formats/tools (VCF/BGEN, PLINK, bcftools), workflow orchestration (Nextflow, Airflow), and cloud-scale processing, ideally on Azure with Spark/Databricks.
Data Engineer with Australian BioCommons at the University of Melbourne engineers secure, well-governed data commons for sensitive human genomics and multi-omics research: designing data dictionaries, building transformation/QC workflows, and operating Gen3 platforms using Python, R, SQL and shell in cloud/server environments. Full-time fixed term to 30 June 2028.
Principal Product Manager owning the product strategy for Chemistry workflows, data products, and AI-enabled decision support in oncology drug discovery at Revolution Medicines. Day to day: partner with medicinal/computational chemists and data/ML teams to accelerate the Design-Make-Test-Learn cycle using tools like Benchling, D360, CDD, and modern AI/low-code platforms.
About Xaira Therapeutics Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and…
Builds AI-powered backend systems, APIs, and developer tools that connect generative models to drug-discovery workflows for a biotech startup using AI in therapeutic discovery.
Intern developing deep learning models with PyTorch on GPUs for computational protein and antibody therapeutic design at a biotech startup.
Lab Software Engineer at Xaira Therapeutics builds software to capture data from lab instruments, create scalable pipelines for instrument data, define data models for biological samples, and configure LIMS/ELN systems to support AI-driven drug discovery. Core technologies include Python and/or C#, SQL, AWS, and ELN/LIMS tools like Benchling, on-site in South San Francisco.
A Staff-level applied ML scientist on WHOOP's Health team who designs, validates, and sets methodological standards for machine learning and statistical methods behind health features, working with longitudinal wearable physiological data (PPG, HRV, sleep, activity). On-site in Boston, partnering with ML engineers, product, and clinical teams to take models toward production.
Data Engineer at The University of Melbourne's Australian BioCommons builds and maintains secure human genomics data commons: designing data dictionaries, running transformation/validation/QC and migration workflows, and configuring Gen3 platforms. Uses Python, R, SQL and shell in cloud/server environments; full-time fixed term to June 2028 in Parkville, Melbourne.
Discover Your Career at Emory University Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome…
Orbis Medicines, a Copenhagen biotech startup, seeks a Scientific Data Engineer to build and maintain its drug-discovery data platform — writing ETL pipelines, designing data structures, and managing commercial and custom systems so biology, chemistry, and AI/ML teams can work with reliable data. Core stack: Python, SQL, relational databases, plus cloud/Docker/CI-CD.
Design and deploy multimodal AI models for oncology diagnostics, integrating histopathology imaging, genomics, transcriptomics, and clinical data using PyTorch and AWS.
WHY UT SOUTHWESTERN? With over 75 years of excellence in Dallas-Fort Worth, Texas, UT Southwestern is committed to excellence, innovation, teamwork, and compassion. As a world-renowned medical and research center, we…
Position Summary: We are seeking an experienced Senior Data Science Project Manager to lead strategic data and digital transformation initiatives supporting regulated bioanalytical workflows. This role will serve as…
First analyst hire on the intelligence team at an AI-for-biology stealth startup: you own the pipelines and ML infrastructure that turn raw lab assay and sequence data into validated, versioned datasets, applying biostatistics, curve fitting, QC and clear visualisation. Core stack is Python (pandas, NumPy, SciPy) and SQL, hybrid from the King's Cross lab in London.
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