Lead the design, implementation and application of graph ML and network biology approaches to target discovery from RWD and multi-omic datasets.
Prototype new approaches aimed at enhancing and improving Valo’s graph platform, seeking out new scientific opportunities to increase the team’s impact.
Work with world-class engineers to ensure that graph methodologies, graph construction, and underlying data are robustly integrated, to develop generalizable solutions to core scientific problems.
Develop and deploy novel ML models that improve the accuracy of patient-level data linking.
Contribute key architectural improvements to the Marmot LLM infrastructure, specifically focusing on reducing manual drift.
Build API-driven reconciliation jobs and data normalization scripts to ensure a unified and consistent view across our data estate.
Komodo Health's mission is to reduce the global burden of disease. They built the Healthcare Map, the industry’s largest, most complete, precise view of the U.S. healthcare system. They are a team of ambitious, supportive Dragons with diverse backgrounds but a shared passion.
The projects’ research assistants (RAs) will work with the PIs.
Key tasks are likely to include analyzing datasets, designing visualisations, and extracting edge-lists.
RAs will meet with faculty supervisor on regular basis to maintain ongoing communication regarding the quality of the assistant’s performance.
Northeastern University London is a prestigious higher education institution based in the heart of London and is part of Northeastern University’s global campus network. They offer academically challenging educational programmes designed to inspire innovative thinking and encourage interdisciplinary study. The staff is a collective of entrepreneurs and educators, builders and thinkers. NU London is growing quickly, offering opportunity and growth for staff, aiming to have 4000 students by 2028/29.
Perform in-depth analysis of healthcare data to independently design, develop, and deliver clinical ML models.
Build reliable and scalable production machine learning systems
Work cross-functionally across diverse stakeholders, including product managers, statisticians, clinicians, and clinical analysts.
Cohere Health's clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually.
Working collaboratively with stakeholders, address hypotheses across various disease and treatment areas, leveraging the Atropos platform.
Run custom analytics using Atropos Health's proprietary technology stack + industry standard tools and analysis packages.
Own end-to-end hypothesis generation and study generation across multiple health care domains
Atropos Health develops GENEVA™ OS, an operating system for rapid healthcare evidence using real-world data. They aim to transform healthcare with timely, relevant real-world evidence, fostering a diverse, inclusive, and equitable workplace.
Work with large, messy, and complex data sets using analytical, statistical, ML, and AI approaches.
Collaborate with Data and Analytic Engineers to improve data quality and generate reusable assets.
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product and business strategy.
Weedmaps is a global leader in the cannabis industry, dedicated to transparency, education, and community. Founded in 2008, Weedmaps fosters a bustling and collaborative culture that focuses on the benefits of weed and the community that supports it.
Design the Future of Ads Identity: Develop/employ probabilistic models for identity resolution.
Advance Lift Methodologies & Experimentation: Own the statistical rigor behind Reddit’s Brand and Conversion Lift products.
Maximize Signal for Predictive Performance: Define the strategy for new signal sources.
Reddit is a community of communities built on shared interests and trust, fostering open conversations. With over 100,000 active communities and approximately 116 million daily active unique visitors, Reddit is a significant source of information.
Design dashboards, reports, and visualizations that help admins, managers, and buyers understand collaboration health, adoption, and impact.
Translate complex datasets into clear narratives that highlight trends, patterns, and outcomes, not just metrics.
Design insight-driven experiences that prompt action, including re-engagement, enablement, and team-level interventions.
Mural is reimagining how teams think and create together. The Design and Research team brings clarity to complexity, shaping experiences that help people collaborate, ideate, and solve problems visually.
Define and drive our data strategy to mature data pipelines and deepen analytical capabilities.
Partner cross-functionally to ensure data serves as a strategic asset and catalyst for innovation.
Champion AI/ML initiatives that enhance personalization, care coordination, and automation.
Modern Health is a mental health benefits platform for employers, offering access to various resources for emotional, professional, social, financial, and physical well-being. With investors like Kleiner Perkins and Founders Fund, they've raised over $170 million and are the fastest entirely female-founded company in the U.S. to reach Unicorn status.
Develop and improve analysis pipelines for diagnostic tests, including detection of cancer-associated variants or methylation patterns and implementation of evidence-based quality control thresholds.
Leverage accurate statistical or probabilistic models to build the next round of algorithms and products.
Move products through the full development process, from research through commercial launch.
They are a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for their work and each other.
Lead the product vision for tvScientific’s identity graph, enabling persistent, multi-device recognition across CTV and digital channels.
Source, evaluate, and onboard third-party identity and behavioral data providers to enhance graph completeness and targeting capabilities.
tvScientific is a CTV advertising platform purpose-built for performance marketers, leveraging data and science to automate and optimize TV advertising. Their platform combines media buying, optimization, measurement, and attribution in one platform, built by industry leaders.