You will work to improve the health of patients from low-income communities by fostering trust and connecting them with various providers and resources. You will be part of a care team that is multidisciplinary and includes Licensed Clinical Social Workers, Pharmacists, and Community Health Workers.

Responsibilities:

• Initiate outreach to new patients and facilitate connections to healthcare resources and support referrals to care team members telephonically, via SMS, via video, or in-person.
• Foster trust and improve patient engagement rates through effective, empathetic, and credible patient communication.
• Collect, review and analyze patient data from Electronic Health Records (EHRs) or other data sources to assist monitoring and prioritization of patient care and to improve utilization of preventative care.
• Communicate with primary care providers through multiple avenues (potentially including EHR messaging and in-person meetings with providers to review patient updates).
• Serve as a primary day-to-day contact, and build trusted, collaborative relationships with healthcare facility providers.
• Participate in weekly Waymark care team huddles and partner with the full care team (Pharmacists, Licensed Clinical Social Workers, and Community Health Workers) to support coordinated patient care.
• Accurately document each patient encounter in detail.
• Collaborate with the Waymark support team to test and refine internal workflows and co-design more efficient processes for supporting patient care.

Minimum qualifications:

• Excellent verbal and written communication skills.
• Comfort tailoring communication to credibly and concisely communicate with primary care physicians and to communicate with patients in an empathetic and accessible manner.
• Highly organized and self-motivated to work independently and manage schedules efficiently.
• Customer service and/or sales experience.
• Experience with Electronic Health Records.
• Experience in a healthcare delivery setting, preferably communicating with medical providers.
• Passion for working with diverse communities in an empathetic, inclusive, and professional manner.
• Friendly, energetic, and enthusiastic personality with a client service orientation.
• Comfort navigating a variety of technology platforms including Google Workspace.
• Reside in Greater Richmond, and have regular access to a car to facilitate travel within the Greater Richmond or Hampton Roads region.

Travel required within the surrounding counties (up to 30%)

Must be able to virtually attend a local 3-week-long paid training program as part of your onboarding.

Preferred qualifications:

• Experience in care coordination, patient outreach or working in an outpatient clinic or doctor’s office.
• Multilingual capabilities.
• Knowledge of managed care / health insurance.
• Knowledge of Richmond and/or Hampton Roads communities and Medicaid populations.

Hourly Hiring Range $23.10 - $26.20

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Scale AI invites applications for a Visiting Faculty position with expertise in Machine Learning in the Healthcare Domain. The ideal candidate will have a strong background in Computer Science, Bioinformatics, or a closely related field, and a proven track record of innovative research in Machine Learning and its Applications in Healthcare Domain.

Responsibilities:

Develop cutting-edge research programs that align with areas such as utilizing electronic health records and non-clinical data for modeling and predicting health behaviors and outcomes. Collaborate with engineers at Scale AI to engage in collaborative research and development. Address issues of bias and fairness in AI within healthcare.

Required Qualifications:

A Ph.D. in Computer Science, Biostatistics, Biomedical Informatics, or a closely related quantitative field. Demonstrated excellence in research with a focus on Machine Learning and NLP applications in Healthcare, evidenced by high-impact publications and/or significant grant funding. Strong communication and collaboration skills.

Please note that our policy requires a 90-day waiting period before reconsidering candidates for the same role.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions.

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