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Senior Medical Annotation information

What is a senior medical annotation?

Senior Medical Annotation specialists are experienced professionals who review and label medical data, such as clinical notes, images, or audio, to ensure it is accurately structured for use in research, artificial intelligence, or healthcare analytics. They have in-depth knowledge of medical terminology and guidelines, allowing them to provide high-quality, consistent annotations. Their work is critical in training and validating AI models for tasks like disease detection or medical record organization. Senior specialists often lead annotation teams, provide quality control, and help develop annotation protocols.

What are the key skills and qualifications needed to thrive as a senior medical annotation specialist?

To thrive as a Senior Medical Annotation Specialist, you need in-depth knowledge of medical terminology, clinical guidelines, and experience with healthcare data, usually supported by a degree in a life science or healthcare field. Familiarity with annotation tools, electronic health records (EHR) systems, and data labeling platforms is typically required, along with certifications in medical coding or informatics. Strong attention to detail, analytical thinking, and effective communication are crucial soft skills for quality assurance and teamwork. These skills ensure the accuracy and reliability of annotated medical data, which is essential for healthcare research, AI development, and clinical decision-making.

What are some common challenges faced by senior medical annotation professionals, and how can they be managed?

Senior Medical Annotation professionals often encounter challenges such as handling large volumes of complex medical data, maintaining accuracy under tight deadlines, and keeping up with evolving medical terminologies. Managing these challenges requires strong attention to detail, effective use of annotation tools, and ongoing communication with clinical experts and data scientists. Continuous learning and collaboration within multidisciplinary teams help ensure high-quality outputs and foster professional growth within the field.

What is the difference between Senior Medical Annotation vs Medical Data Labeler?

AspectSenior Medical AnnotationMedical Data Labeler
CredentialsTypically requires healthcare background, medical terminology knowledge, and experience with annotation toolsOften requires basic computer skills, training in data labeling, but less healthcare-specific knowledge
Work EnvironmentRemote or on-site, working with complex medical datasets and annotation softwarePrimarily remote, focusing on labeling large volumes of medical images or text
Industry UsageUsed in AI development for healthcare, medical research, and clinical data projectsUsed in machine learning datasets creation, quality control, and data preparation

Senior Medical Annotation professionals typically have healthcare experience and handle complex annotations, while Medical Data Labelers focus on large-scale data labeling tasks with less healthcare-specific expertise. Both roles are essential in AI healthcare projects but differ in complexity and required background.

What are the most commonly searched types of Medical Annotation jobs in Texas?

The most popular types of Medical Annotation jobs in Texas are:

What are popular job titles related to Senior Medical Annotation jobs in Texas?

For Senior Medical Annotation jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Senior Medical Annotation jobs in Texas look for?

The top searched job categories for Senior Medical Annotation jobs in Texas are:

What cities in Texas are hiring for Senior Medical Annotation jobs?

Cities in Texas with the most Senior Medical Annotation job openings:

Senior Medical Annotation jobs near you

Pre‑Silicon Power Modeling Leader - x86 SoCs

Advanced Micro Devices, Inc

Austin, TX • On-site

$156K/yr

Full-time

Re-posted 5 days ago

Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

27th of 159 rated electronics manufacturers

Job description

WHAT YOU DO AT AMD CHANGES EVERYTHING
At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.
THE ROLE:
AMD's embedded and client x86 programs demand first-time-right silicon. You will lead SoC-level pre-silicon power modeling-owning the methodology, models, and cross-functional influence that translate into accurate Perf/Watt projections, robust DVFS/AVFS plans, and silicon correlation that de-risks program power budgets.
THE PERSON:
  • Demonstrated experience building top-level SoC power models with high correlation to silicon, including IP-level VBM integration and workload-based projections.
  • Hands-on with EDA/tooling: PowerArtist, PrimeTime PX (or equivalents), activity annotation (FSDB/VCD), UPF/CPF power intent, Python for automation.
  • Deep knowledge of x86 micro-architecture (CPU pipelines, caches), GPU/NPU basics, memory subsystems, interconnect/fabric behavior, and power delivery/PDN interactions.
  • Proven ability to define DVFS/AVFS strategies and drive FW telemetry requirements; familiarity with EDC/TDC/CaC semantics and their impact on power.
  • A validated SoC power model & scorecard that anchors program power budgets and executive reviews.
  • Workload-specific DVFS/AVFS tables and telemetry specs for FW/BIOS enablement.
  • Correlation reports (estimated vs. measured) and recommendations that accelerate first-time-right silicon.

KEY RESPONSIBILITIES:
  • Own the SoC power model end-to-end using AMD's converged methodology, delivering accurate workload-based power estimates for CPU/GPU/NPU, fabric/interconnect, memory, and I/O.
  • Define use-case power envelopes across automotive, networking, storage, industrial, and robotics segments; partner with product/marketing to derive representative workloads and KPIs.
  • Drive DVFS/AVFS strategy (P-states, C-states, voltage/frequency points), telemetry requirements, and FW hand-offs based on model outputs; provide early tables and guardrails to FW/BIOS.
  • Establish IP/subsystem power budgets; run sensitivity studies to guide architectural decisions (e.g., cache sizes, fabric frequencies, NPU/GPU configurations).
  • Build repeatable model-to-silicon correlation plans (CaC/static/dynamic splits, EDC/TDC interactions, droop mitigation) and maintain a power scorecard for program reviews.
  • Lead tool flows & automation (e.g., PowerArtist, PrimeTime PX; Python-based pipelines) to ingest activity (FSDB/VCD), generate reports, and publish dashboards for stakeholders.
  • Collaborate across Architecture, RTL/Design, Physical Design, FW/BIOS, and System PnP to ensure converged Perf/Watt outcomes from concept through bring-up.

PREFERRED EXPERIENCE:
  • Segment experience modeling power for automotive (AEC-Q100/ASIL) use-cases, networking throughput workloads, storage I/O patterns, industrial/robotics duty cycles.
  • System performance modeling familiarity (GEM5/Simics/SystemC) to align Perf/Watt predictions and bottleneck analysis with architecture teams.
  • Experience creating PnP dashboards/regressions (Python/Jenkins/Grafana/InfluxDB) for continuous tracking.

ACADEMIC CREDENTIALS:
  • B.S./M.S. in EE/CE/CS (or related) with strong industry experience in SoC pre-silicon power modeling/estimation and cross-domain collaboration.

LOCATION:
Austin, TX (Hybrid)
This role is not eligible for visa sponsorship.
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Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.
This posting is for an existing vacancy.

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