Apply machine learning and AI techniques to develop model systems and solutions, scaling and integrating these into large-scale cloud-based SaaS production environments for healthcare.
Work with product leaders, clinical informaticists, data scientists, UI/UX researchers, engineers, and healthcare professionals to design and deliver high value solutions.
Perform data collection, cleaning, analysis, prompt tuning, parameter fine-tuning, model training, development, and evaluation—using existing or developing new tools or workflows as needed.
Play a defining role in shaping the quality, reliability, and evolution of MEDFAR's generative AI features.
Work closely with product designers, developers, QA, and client-facing teams to ensure that every AI-generated output meets the high standards required in a healthcare setting.
Mentor and lead a prompt engineering practice as MEDFAR's AI product surface expands.
MEDFAR Clinical Solutions, founded in 2010 by aeronautical engineers, focuses on leveraging technology to improve the healthcare system. They offer a unique healthcare management solution for clinics, replacing inefficient processes with technological alternatives, and are supported by a community of medical experts.
Lead the design, development, and deployment of production, multi-turn LLM-powered features.
Own backend services in Python that integrate LLM agents with Fullscript’s platform and support reliable production use.
Partner with medical, product, and engineering teams to identify high-value opportunities for AI and turn them into practical, scalable product capabilities.
Fullscript is a health technology company committed to helping people get better by creating a platform that powers every part of care. More than 125,000 practitioners use Fullscript for clinical insights, lab interpretations, patient analytics, education, and access to high-quality supplements.
Contribute to designing, evaluating, and shipping our mental health AI Agent and its supporting infrastructure.
Develop and maintain robust data pipelines to power model training and evaluation.
Partner with AI Research, Product, and Engineering teams to define new features.
Sword Health is shifting healthcare from human-first to AI-first through its AI Care platform. They aim to make world-class healthcare available anytime, anywhere, while significantly reducing costs. Backed by clinical studies and patents, Sword Health has raised more than $500 million from leading investors.
Support the development and deployment of clinical AI applications.
Conduct clinical validation of AI outputs against evidence-based guidelines.
Collect and analyze data to measure clinical outcomes and AI intervention effectiveness.
Aledade empowers independent primary care practices, helping them deliver better care and thrive in value-based care. Founded in 2014, they've become the largest network of independent primary care in the country, fostering a collaborative, inclusive, and remote-first culture.
Communicate with business stakeholders to understand goals and translate them into robust ML/AI models to improve clinical outcomes for children.
Work with Data Science and other cross functional teams to define requirements, optimize data collection, build data assets, and deliver insights on business strategy and patient care
Develop ML models incorporating clinical, claims, and social determinants of health (SDoH) data to drive actionable recommendations
Imagine Pediatrics is a tech-enabled, pediatrician-led medical group reimagining care for children with special health care needs. They deliver 24/7 virtual-first and in-home medical, behavioral, and social care, working alongside families, providers, and health plans.
Lead the reference architecture for AI and agentic systems within key product domains.
Design and deliver production ready AI systems, ensuring reliability, scalability, observability, performance, and cost efficiency across the full lifecycle.
Establish platform level AI and data components, including Model broker and multi-model routing strategies.
PointClickCare is a leading health tech company that’s founder-led and privately held, they empower their employees to push boundaries, innovate, and shape the future of healthcare. With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, their platform serves over 30,000 provider organizations and they reinvest a significant percentage of their revenue back into research and development.
Build working prototypes using off-the-shelf and novel AI techniques to deliver higher optimization levels for the company.
Work with large, complex data sets and solve difficult, non-routine analysis problems to harvest data.
Implement techniques for fine-tuning and adapting pre-trained generative models to specific healthcare domains or tasks.
Aledade empowers primary care physicians with technology to keep their patients healthy and prevent unnecessary hospitalizations. They partner with other engineering and analytics teams, bringing AI technology into existing products and workflows, leveraging their extensive data sets of medical records, diagnoses, claims, and prescriptions.
Partner with business owners to define a shared vision for the product.
Lead the entire ML and LLM platform lifecycle from inception to optimization.
Craft detailed user stories and success criteria for new features.
Texas General is transforming healthcare through innovative AI-driven solutions. They are committed to achieving significant outcomes by bridging the gap between machine learning and practical healthcare applications.
Provide strategic direction for the design, deployment, and lifecycle management of ML and AI models across clinical and operational use cases.
Drive advanced analytics initiatives — including predictive modeling, NLP, and population health analytics — that directly inform strategic fundraising, clinical operations, and resource planning.
Recruit, develop, and lead a high-performing team of AI Engineers and Data Scientists within the CDAO and CAIO Offices.
Emory Healthcare is Georgia's most comprehensive academic health system. They are investing in its AI-powered data future and offer ongoing mentorship, development, and leadership programs.
Design and implement evaluation systems and tooling to validate Oura’s custom AI models and Advisor
Develop novel evaluation methods to measure grounding, reliability, and actionability of LLM and agentic systems
Build and optimize custom AI models through fine-tuning, knowledge distillation, and quantization
Oura's mission is to empower every person to own their inner potential. Their award-winning products help their global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. They are focused on helping people live healthier and happier lives, and ensure that their team members have what they need to do their best work — both in and out of the office.
The role is largely completing labeling of PointClickCare clinical notes for data input to help train AI models.
While labeling, provide clinical feedback and recommendations using nursing knowledge of Senior Living/SNF electronic medical record.
Provide Clinical expertise within the labeling team and provide challenging input regarding potential labeling changes with the goal of improving the product.
PointClickCare is a leading health tech company that helps providers deliver exceptional care. They empower their employees to push boundaries, innovate, and shape the future of healthcare and have over 30,000 provider organizations using their platform.
Define and own the product vision, strategy, and roadmap for Clinical AI tools.
Architect, implement, and continuously improve the RAG infrastructure powering clinical decision support.
Design and iterate on prompt strategies, system instructions, and guardrails to produce reliable, clinically appropriate outputs.
Knownwell is a weight-inclusive healthcare company offering metabolic health services, primary care, nutrition counseling and behavioral health services for anyone of any size. Their hybrid model allows for both in-clinic and virtual care to bring support to patients where and when they need it.
Define and deliver the roadmap to drive execution and scale of the AI Platform.
Partner with AI engineers, data scientists, and clinical leadership to deliver production-grade systems.
Work with internal teams and end users to develop a deep understanding of requirements.
Aledade empowers independent primary care to transform healthcare through technology. Founded in 2014, they are the largest network of independent primary care in the country, with a collaborative, inclusive, and remote-first culture that values diversity.
Define and deliver the roadmap for the AI Platform.
Collaborate with AI engineers, data scientists, and clinical leadership.
Lead the lifecycle of machine learning and LLM platform workstreams.
Jobgether is a platform that uses AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Champion the Clinical User: Make understanding our coaches and doctors your number one priority.
Drive In-Depth Product Thinking: Look beyond isolated features to understand the entire clinical ecosystem.
Generate Prolific, High-Craft Output: Produce immaculate user journey maps, wireframes, prototypes, and high-fidelity specs at a massive scale and rapid pace.
Twin Health empowers people to improve and prevent chronic metabolic diseases, like type 2 diabetes and obesity, with a new standard of care. With more than $100 million raised in recent funding, Twin is scaling rapidly across the U.S. and globally and building the most impactful digital health company in the world.
Analyze Medicaid claims, visit, and billing datasets using SQL and other analytical tools.
Apply machine learning and AI techniques to fraud detection, including anomaly detection models, predictive risk scoring, and unsupervised clustering.
Translate analytical findings into clear, actionable requirements for product and engineering teams.
HHAeXchange is the leading technology platform for home and community-based care. Founded in 2008, it helps people who are aging or have disabilities thrive in their homes and communities. Our employees are passionate about transforming the healthcare space by building the only homecare ecosystem that fully connects patients, personal care providers, managed care organizations, and states.
Design, build, and deploy generative AI applications using Google Gemini, PaLM 2, and other Google-hosted foundation models via Vertex AI.
Implement Retrieval-Augmented Generation (RAG) architectures using Vertex AI Search, Vector Search, and document embedding pipelines for enterprise knowledge retrieval.
Develop end-to-end ML pipelines from data ingestion and feature engineering through model training, evaluation, and production deployment on Vertex AI Pipelines / Kubeflow.
Roboyo is a category shaper in Agentic Automation that helps leading brands embed autonomous, AI‑powered agents into their workflows, processes, products and services so they can scale faster and operate smarter. They are a global team of builders, consultants and engineers that are top practitioners of taking solutions to the next level for clients in pursuit of excellence.
Research, develop and deploy AI based solutions to automate content moderation and review of Canva’s content
Work with diverse stakeholders to guide the technical vision while being responsible for break-down and delivery of large projects
Design, develop and deploy solutions and hands-on software development – working closely with leads, designers, and product managers
Canva is a design platform that empowers users to create and share visual content. They have campuses in Sydney and Melbourne, with co-working spaces in other Australian cities, and aims for a culture of flexibility and empowerment.