Homeward is rearchitecting the delivery of health and care in partnership with communities everywhere, starting in rural America. Today, 60 million Americans living in rural communities are facing a crisis of access to care. In the U.S. healthcare system, rural Americans experience significantly poorer clinical outcomes. This trend is rapidly accelerating as rural hospitals close and physician shortages increase, exacerbating health disparities. In fact, Americans living in rural communities suffer a mortality rate 23 percent higher than those in urban communities, in part because of the lack of access to quality care. Our vision is care that enables everyone to achieve their best health. So, we’re creating a new healthcare delivery model that is purpose-built for rural America and directly addresses the issues that have historically limited access and quality. Homeward supports Medicare-eligible beneficiaries by partnering with health plans, providers, and communities to align incentives – taking full financial accountability for clinical outcomes and the total cost of care across rural counties. As a public benefit corporation and Certified B Corp™, Homeward’s mission and business model are aligned to address the healthcare, economic, and demographic challenges that make it challenging for rural Americans to stay healthy. Our Homeward Navigation™ platform uses advanced analytics to connect members to the right care and local resources that address social determinants of health and improve holistic health outcomes. Since many rural communities lack adequate clinical capacity, Homeward also employs care teams that supplement local practices and reach people who cannot otherwise access care. Homeward is co-founded by a leadership team that defined and delivered Livongo’s products, and backed most recently by a $50 million series B co-led by Arch Ventures and Human Capital, with participation from General Catalyst for a total of $70 million in funding. With this leadership team and funding, Homeward is committed to bringing high-quality healthcare to rural communities in need. Homeward Health Inc. seeks Senior Data Scientist in San Mateo, CA Job Duties: Deliver analytic and data science products – from business intelligence to analytics to predictive modeling – within the health care data domain (e.g., clinical outcomes, clinical quality, cost of care). Develop risk stratification models using EHR, claims, RA, actuarial experience, and a variety of other data sources to match our members with the appropriate care pathways. Conduct opportunity assessments for reducing total cost of care or improving code capture as we work in new geographies and with new clients and partners. Evaluate the effectiveness of service delivery for different population segments relative to clinical and cost outcomes. Collaborate with the Technology team to purpose-build a healthcare data infrastructure that supports high-impact analytics. Telecommuting is an option. Minimum Requirements: Master’s degree, or foreign equivalent, in Data Science, Bioinformatics, or closely related quantitative discipline, and two (2) years of experience in job offered or in any occupation in a related field. Special Skill Requirements: (1) Healthcare Analytics; (2) SQL; (3) Python; (4) Statistical analysis; (5) Data visualization; (6) large datasets; (7) Scikit-learn; (8) AWS; and (9) Databricks. Any suitable combination of education, training and/or experience is acceptable. Telecommuting is an option. Salary: $133,952.00 - $168,000.00 per annum; 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m. Must be legally authorized to work in the U.S. without sponsorship.

Support drug development programs by advising regulatory teams, preparing for agency meetings, and ensuring timely responses to regulatory queries. Collaborate cross-functionally to align documents with regulatory requirements and improve submission...

The Background Oracle’s Fusion Applications group is designing and building the next-generation deployment platform for its suite of software products. We focus on transforming how software developers and DevOps engineers build, deploy, and operate cloud applications for enterprise customers. Our team is developing AI-driven systems that improve developer productivity and automate the operation of large-scale cloud services. These systems enable better decision-making, streamline workflows, and increase reliability across complex environments. You are the builder here. You will be part of a team of intelligent, motivated, and diverse people and given the autonomy and support to do your best work using modern backend and cloud-native technologies, including Kubernetes, distributed systems, and scalable data platforms. Our core values are our foundation and how we deliver excellence. We strive for equity, inclusion, and respect for all. We are committed to the greater good in our products and our actions. We are constantly learning and taking opportunities to grow our careers and ourselves. We challenge each other to stretch beyond our past to build our future. Our team is fully remote. We currently have members spread across the US, India, and Europe. We practice scrum and leverage Slack and Zoom heavily for day-to-day communication. The Role As a Principal Data Scientist (IC4), you will lead the design and development of AI-driven systems within the Spectra Platform, spanning backend services, data systems, and intelligent workflows. You will own complex, high-impact initiatives that cut across multiple systems and teams, driving projects from early concept through production deployment and iteration. This role requires strong technical leadership and hands-on work across both software engineering and applied AI. You will design and implement agent workflows, guardrails and evaluation approaches, while building the systems and processes needed to ensure reliability and confidence in results. A successful candidate brings strong technical judgment, experience delivering large-scope systems, and the ability to collaborate effectively with a wide range of stakeholders across engineering, product, and infrastructure. Ideal Qualifications: - Bachelor’s or Master’s degree in Computer Science or equivalent practical experience - Strong software engineering fundamentals with deep experience building and operating distributed systems - Proven track record of delivering large-scope, high-impact projects across multiple teams or domains - Experience designing and building AI or model-driven systems in production environments - Experience developing prompts, agent workflows, and evaluation approaches for AI systems - Strong understanding of API design, service architecture, and cloud-native development principles - Experience with Kubernetes and cloud-based deployments - Experience developing and maintaining models and data systems with a focus on reliability, observability, and scale - Demonstrated ability to work across organizational boundaries and collaborate with diverse stakeholders Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling 1-888-404-2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

• Utilize our existing data ingestion and delivery platforms to "teach" our models to understand the physical world, filling a critical expertise gap in the data center industry. • Multidisciplinary Diagnostic Analysis: Use telemetry tools to analyze sensor data across mechanical (chillers, pumps) and electrical (UPS, switchgear, power feeds) systems to identify "failure signatures" for our LLM-driven monitoring tool. • Refining the Logic Engine: Act as a primary user of our platforms, identifying gaps in our current mechanisms and collaborating with Engineering to influence future features and data quality. • Operational Insight Generation: Translate raw telemetry into the "SME-level" logic and directions used by our LLM tool to guide data center operators in real-time. • SME Development: Cultivate deep domain expertise in all facets of data center infrastructure. You will be expected to master the nuances of both mechanical and electrical dependencies to ensure our product reflects operational reality. • Customer Guidance: Move from shadowing peers to directly supporting customers, using our platform to provide clear, data-backed direction on complex problems. • Model Validation: Oversee pilot projects to test how our AI-driven SME tool interprets real-world stressors, ensuring the output is operationally realistic, accurate, and actionable. • Adaptability: Remain agile and proactive. As a member of a fast-moving team, you will encounter challenges and scopes not explicitly defined here; we expect you to lean in and solve them.