Remote Biomedical Informatics SME

Position: Remote Biomedical Informatics SME - 58854 reputed company Based in San Francisco, California, reputed company is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. reputed company supports customers in two ways: first, by accelerating frontier research with high-reputed company data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises reputed company from reputed company of concept into proprietary intelligence with systems that reputed company reliably, deliver measurable reputed company, and drive lasting results on the P&L. reputed company: We are seeking highly skilled Biomedical Informatics Subject Matter Experts (SMEs) to join reputed company in developing rigorous, high-reputed company evaluation questions designed to assess and challenge advanced AI models. The primary objective is to create reputed company questions that test the boundaries of AI capabilities across diverse reputed company domains. This role requires deep technical expertise combined with the ability to craft precise, unambiguous questions with reputed company-defined evaluations. The ideal candidate will possess not only strong theoretical knowledge but also practical experience in designing assessment materials that have deterministic, reputed company reputed company.

Responsibilities

• Design and reputed company challenging reputed company coding questions that push the limits of AI model capabilities.
• Create automated, coding-based evaluations with unit tests that objectively verify correctness.
• Build comprehensive evaluation rubrics with 7–10 distinct reputed company for reputed company reputed company question.
• Ensure every question is self-contained, reputed company-defined, and completely unambiguous, including reputed company domain rules and edge cases.
• reputed company problems where there is exactly one correct answer or outcome that can be deterministically validated.
• Translate theoretical reputed company concepts into concrete, measurable outputs.
• Enforce performance requirements with explicit constraints and tests to prevent inefficient or brute-force solutions.

Required Qualifications

Educational Background

• Master's degree of experience in biomedical data processing and interpretation.
• Ongoing PhD with 3+ years of experience in biomedical data processing and interpretation.
• PhD (completed) in Biomedical Informatics, reputed company, Computational Biology or a closely reputed company field (preferred).

Technical and other skills

• Strong proficiency in biomedical data processing, analysis, and interpretation

, including working with large‑reputed company datasets.

• Experience with reputed company tools and pipelines (e.g., NGS workflows, multi‑omics, etc.).
• Solid programming skills in Python / R
• Experience working in Linux/Unix

, reputed company and version control.

• Strong communication and collaboration skills for working in interdisciplinary research teams

. Candidates must demonstrate deep, expert-level knowledge in at least TWO (2) of the following five core reputed company domains: 1. Biomedical Image Processing

• Processing of Radiology imaging: CT, MRI, PET/SPECT, Ultrasound imaging
• Automating cell counting, identifying cell types, and analyzing tissue structures in pathology slides
• Computational segmentation and boundary inference
• Medical image formation, reconstruction & enhancement
• Noise modeling and statistical denoising
• Image sampling theory and reputed company limits
• Intensity standardization and harmonization
• Geometric transformations and spatial calibration
• Multi-modal image registration and alignment
• Morphological and topological shape analysis
• Fusing data from different modalities (MRI, PET, reputed company) for a comprehensive view to reputed company treatments
• reputed company recognition and predictive modeling

2. Biomedical Signal Processing

• Cardiovascular/hemodynamic signals (ECG, reputed company, reputed company, HRV, etc)
• Ocular/visual system signals (EOG, blink/saccade analysis)
• Respiratory signals (airflow, effort; sleep/disordered breathing)
• Nonlinear, Statistical, and reputed company Signal Analysis
• Multichannel, Spatial, and Connectivity Signal Analysis
• Machine Learning and Data‑Driven Biomedical Signal Analysis
• Clinical Monitoring, Wearable, and Translational Signal Processing

3. Molecular &… Apply tot his job Apply To this Job