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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.
Design and maintain bioinformatics pipelines and AWS infrastructure for single-cell genomics in oncology diagnostics, processing large-scale datasets with a multidisciplinary team.
Build and scale AQEMIA’s data platform to power drug discovery, modeling chemical structures and experimental results with Python, SQL, Snowflake, and Airflow.
Design and maintain bioinformatics pipelines for single-cell transcriptomics data, integrating them into AWS infrastructure to process raw sequences into clinically meaningful oncology diagnostics.
Builds and maintains APIs and cloud infrastructure for UniProt, delivering protein data to researchers via Java/Python and SpringBoot services.
Builds secure, scalable backend services and APIs for a bioinformatics platform supporting scientific research.
Build and own the full-stack web and mobile frontend for a bioinformatics observability platform using Next.js, TypeScript, and AWS, integrating real-time dashboards and data visualizations.
Build and maintain a cloud-based pathogen genomics data platform using Python, Airflow, and Oracle/AWS/Azure to ingest, process, and secure genomic and clinical data for early epidemic warnings and diagnostics.
Build and maintain platforms that capture, organize, and deliver petabytes of genomic data for cancer research using React, Node.js, Python, and Java.
Build and maintain a bioinformatic web platform and cloud infrastructure for a biopharma company, using Python, JavaScript (Svelte), PostgreSQL, Docker, GCP, and CI/CD pipelines.
Develops and validates SAS programs for clinical trial data analysis, generates reports, and leads small-to-moderate bioinformatics projects in a pharmaceutical R&D environment.
Research scientist to lead AI-driven cancer therapeutic discovery, mapping tumor cell surface antigens and developing next-gen immunotherapies, vaccines, and theranostics for clinical trials.
Owns software requirements for clinical genomics workflows at a healthcare leader, turning user needs into epics and user stories while guiding Agile teams through development and validation in a regulated lab setting.
Build and maintain production bioinformatics pipelines and cloud-based data products to support AI-driven drug discovery, integrating complex biological datasets with Nextflow and Python.
Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens…
Designs and deploys AI/ML models for cancer diagnostics and precision oncology, using deep learning and generative AI to analyze biological and clinical data.
Build and deploy advanced AI/ML models for cancer diagnostics and precision oncology using Python, TensorFlow/PyTorch, and generative AI techniques to analyze biological and clinical data.
Software Engineering Manager Location: Bengaluru, KA, in Company Description Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across…
Build and apply ML models to predict drug properties and guide lead optimization in ADME/PK-PD, using Python/R and in-house tools to accelerate drug discovery.
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