8 medical coding assistant jobs at 2 companies in Burlingame, CA

1w
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Medical Assistant / Patient Care Coordinator I, GI Oncology
Palo Alto, California, United States
$32-$36/hr OnsiteFull Time
Stanford Health Care
Stanford Health Care: Academic medical system providing patient care and medical research.
High school diploma or GED plus medical assistant training or approved certification. No prior experience required. Requires BLS certification, medical terminology, coding and billing knowledge, computer skills, and effective communication.
HealthStream, CRM, In-Basket, EKG
1mo
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Medical Assistant / Patient Care Coordinator III, Cancer Center
Pleasanton, California, United States
$35-$39/hr OnsiteFull Time
Stanford Health Care Tri-Valley
Stanford Health Care Tri-Valley: Stanford Health Care Tri-Valley is a nonprofit community hospital providing medical care to California’s Tri-Valley region.
4+ YOEHigh school/GED plus medical assistant certificate or approved training, BLS required, 4+ years healthcare experience, knowledge of medical terminology, coding/billing, care coordination, and EMR systems.
CHOIR, Glooko, EPIC, HealthStream, Clinitek, Trophon
2mo
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Medical Assistant / Patient Care Coord II, GI Surgery Outpatient Clinic
Redwood City, California, United States
$33-$37/hr OnsiteFull Time
Stanford Health Care
Stanford Health Care: Academic medical system providing patient care and medical research.
1+ YOEHigh school/GED plus MA certificate or transcript, BLS required, 1+ year experience, medical terminology and coding knowledge, strong communication and customer service skills.
CRM, In-Basket, HealthStream
1mo
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PATIENT CARE COORD II (Medical Assistant)- Infectious Disease- FT Days (8 hrs.)
Atherton, California, United States
$33-$37/hr OnsiteFull Time
Stanford Health Care
Stanford Health Care: Academic medical system providing patient care and medical research.
1+ YOEHigh school diploma/GED plus MA certificate or equivalent, 1+ year clinical experience, BLS required, knowledge of medical terminology, coding, EMR, and clinic protocols.
HealthStream
3mo
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Patient Care Coordinator IV (Medical Assisant), Transplant Clinic – Full Time, Days (08HR)
Palo Alto, California, United States
$38-$43/hr OnsiteFull Time
Stanford Health Care
Stanford Health Care: Academic medical system providing patient care and medical research.
6+ YOEHigh school diploma or GED with Medical Assistant certification; CMA by 12/31/2025; at least six years of experience; knowledge of medical terminology, coding, medical records coordination; proficient with Epic and Microsoft Office; BLS required.
Epic, Microsoft Office
1mo
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Patient Care Coordinator II (Medical Assistant), Neurology Clinic SNHC – Full Time, Days (08HR)
Palo Alto, California, United States
$33-$37/hr OnsiteFull Time
Stanford Health Care
Stanford Health Care: Academic medical system providing patient care and medical research.
1+ YOEHigh school/GED and MA certificate or equivalent, current BLS, 1+ year experience, medical terminology and coding knowledge, strong communication and customer-service skills.
HealthStream
2w
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Senior Applied Research Scientist, Multimodal Foundation Models – Healthcare
Santa Clara, California, United States
$184k-$357k/yr OnsiteFull Time
NVIDIA
NVIDIANASDAQ: NVDA: Computing platform for AI and accelerated graphics.
8+ YOEPhD or equivalent experience and 8+ years of medical AI research experience; multimodal foundation model, longitudinal modeling, PyTorch, scalable research pipeline, and AI coding assistant expertise required.
PyTorch, CUDA, cuDNN, TensorRT
2w
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Senior Applied Research Scientist, Multimodal Foundation Models – Healthcare
Santa Clara, California, United States
$184k-$357k/yr OnsiteFull Time
NVIDIA
NVIDIANASDAQ: NVDA: Computing platform for AI and accelerated graphics.
8+ YOEPhD or equivalent experience; 8+ years in medical AI research; multimodal foundation model development; PyTorch; AI coding assistants; scalable research pipelines; strong communication and collaboration skills.
PyTorch, CUDA, cuDNN, TensorRT, AI coding assistants, agentic AI workflows, distributed GPU training, high-performance computing, NVIDIA GPU