Lead and execute the development, validation and automation of analytical pipelines and statistical models that support metadata-driven clinical data processing, reporting, and regulatory submissions. This is a hands-on technical leadership role, ideal for a senior data scientist or statistical programmer who enjoys coding, problem-solving, and working cross-functionally to bring rigor, reproducibility, and automation to clinical reporting workflows.
The contractor will focus on developing machine learning algorithms, data analysis, and optimizing data pipelines. The ideal contractor should have strong expertise in developing machine learning algorithms, natural language processing (NLP), and experience working with large-scale data systems. The contractor will develop and implement machine learning algorithms to solve complex problems. They will design and maintain data pipelines, including transformations and preprocessing. They will conduct data analysis to identify trends and insights.
As a Data Science Intern, you’ll be at the forefront of delivering hope to patients everywhere with expertise in machine learning, computational biology, and chemistry to accelerate drug discovery.
The Data Engineering team is responsible for designing, building, and maintaining the Data Lake infrastructure, including ingestion pipelines, storage systems, and internal tooling for reliable, scalable access to market data. Implement and tune data storage for petabyte‑scale analytics and collaborate with Data Science, Quant Research, Backend and DevOps to translate requirements into platform capabilities.
Seeking a highly skilled Data Engineer to strengthen our case-centric process mining and automation initiatives. This is an exciting opportunity for a technically strong professional who thrives on building robust data solutions and enabling actionable insights across end-to-end business processes.
Seeking a Machine Learning PhD Intern to join our AI research team and contribute to our innovative projects in the field of Large Language Modeling (LLM) and clinical data analysis. Candidates must be within 1 year of their graduation date from their PhD program. Candidates are expected to demonstrate both independence in defining their research strategy within a domain as well as an ability to apply innovative solutions to our products.
The Onchain team lives where code meets capital, turning raw blockchain data into insight, strategy, and alpha. You’ll help Kraken understand where liquidity lives, how capital moves, and what signals the next trade, product, or market entry.
Build out cost attribution models and automation systems that power faster decision-making, tax readiness, and scalable financial intelligence. This role bridges the technical and the strategic, building the data foundations that enable Kraken to understand cost structures, improve ROI visibility, and launch products in new markets with lower risk and higher speed. Define how finance data scales with Kraken’s global ambitions.
The Data Engineer will be key in the design, construction and evolution of the engineering, BI and Generative Artificial Intelligence ecosystem. Their purpose will be to transform the company's financial records into actionable information, enabling strategic and operational decisions of high impact for the business. They will design and build data pipelines from multiple sources to the Data Lake, ensuring scalability, performance and quality.
The Data Operations Specialist will help shape the future of employer services, with a focus on HR compliance and outsourcing. They will help develop and implement data-driven solutions that enable strategic decision-making and drive business growth. They will help maintain the health of our data infrastructure, supporting cross-functional teams, and driving operational excellence across our data platforms.