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Build cloud-native infrastructure and scalable pipelines to train and deploy large AI models for drug discovery and biomedical research using Python, PyTorch/TensorFlow, and AWS/GCP/Azure.
Develops bioinformatics pipelines and AI/ML data engineering for genetic testing insights in a research and clinical setting using Python, R, SQL, and UNIX/Linux.
Build and scale the full-stack infrastructure for Self-Driving Labs®, integrating AI, robotics, and cloud software to accelerate scientific discovery in chemistry and materials R&D.
Build and maintain web modules for a precision-medicine platform; work with JavaScript/TypeScript, Node.js, Angular or React, REST APIs, and non-relational databases.
Builds Python/AWS backend services and data pipelines for healthcare diagnostics, integrating modules and automating analyses for Exact Sciences' platforms.
Build and maintain bioinformatics pipelines and clinical IT tools in Python and DevOps, collaborating with doctors and researchers to support personalized medicine for cancer and genetic disease patients.
Develop and maintain bioinformatics pipelines and clinical IT solutions for personalized medicine, using Python, SQL, and DevOps tools in a Linux/Git environment.
Builds and scales genomics data pipelines to process raw biological data for AI model training, ensuring datasets are ready for large-scale analysis.
Build and maintain scalable data pipelines to process complex biological datasets for training AI foundation models in drug discovery and healthcare.
Builds and maintains data pipelines for digital health applications, processing multimodal biosensor time-series data (accelerometer, ECG, PPG, EEG) using Python, cloud-native tools, and AWS services.
Design and build scalable backend services and cloud-native APIs using Java, Spring Boot, and microservices for healthcare and scientific applications.
Builds back-end systems and algorithms to process large-scale biological data for bioinformatics applications using Python, Go, or C++.
Build AI models for drug discovery and diagnostics using multimodal health data, ensuring clinical interpretability and compliance with healthcare standards.
Builds automated pipelines to clean, standardize, and generate scientific product content from a custom SQL/VB.NET platform, reducing manual entry and errors for Waters’ regulated life-sciences catalog.
Builds automated pipelines to clean, standardize, and generate scientific product content from a custom SQL/VB.NET platform, using Python, Spark, and cloud tools.
Designs and maintains ETL pipelines in Python to ingest and clean biosimilar R&D data from Excel, PDF, and databases, ensuring traceability and reliability for scientists.
Design and build scalable data pipelines and architectures to support scientific research in food science, clinical studies, and pet health, using Python, SQL, cloud platforms, and orchestration tools.
Build and maintain a full-stack AI platform for lab automation, integrating Python backends with TypeScript frontends and agentic features to guide users through experiments.
Develop and maintain Cellosaurus, a bioinformatics cell-line database, including REST APIs, semantic web services, and data management tools using Python, FastAPI/Django, and MySQL.
Build and own features for a vaccine development platform using TypeScript/React for the frontend and Python for the backend, with Docker-based deployments.
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