Biomedical Informatics SME – AI Model Evaluation

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We are seeking highly skilled

Biomedical Informatics Subject Matter Experts (SMEs)

to collaborate with AI researchers on the development of

rigorous, high-quality evaluation benchmarks

for advanced

AI and Large Language Models (LLMs) .
The primary objective of this role is to design

deterministic, verifiable benchmark questions

that test the limits of AI capabilities across complex biomedical and bioinformatics domains. This position requires deep domain expertise, strong analytical thinking, and the ability to craft

precise, unambiguous evaluation problems

with clearly defined outcomes.
No prior AI experience is required.

-
- • Design and develop

challenging bioinformatics coding problems

that push AI model reasoning and execution limits

• Create

automated, code-based evaluations

with unit tests to objectively verify correctness

• Build detailed

evaluation rubrics

with 7–10 clearly defined criteria per question

• Ensure all questions are

self-contained, deterministic, and unambiguous , covering rules, assumptions, and edge cases

• Develop problems with

exactly one correct, verifiable outcome

• Translate theoretical biomedical concepts into

concrete, testable outputs

• Define explicit performance constraints to prevent brute-force or inefficient solutions

• Collaborate with AI researchers and fellow SMEs to shape training strategies, evaluation methods, and benchmarks

• Master’s degree with hands-on experience in biomedical data processing and interpretation

• OR ongoing PhD with

3+ years

of relevant experience

• OR completed PhD in

Biomedical Informatics, Bioinformatics, Computational Biology , or a closely related field (preferred)

Candidates must demonstrate

expert-level proficiency in at least TWO (2)

of the following domains:
1. Biomedical Image Processing
• CT, MRI, PET/SPECT, Ultrasound imaging

• Pathology image analysis (cell counting, tissue structure analysis)

• Image segmentation, boundary inference, reconstruction, enhancement

• Noise modeling, denoising, sampling theory, resolution limits

• Image registration, multimodal alignment, spatial calibration

• Quantitative imaging feature extraction and predictive modeling

• Multimodal fusion (imaging, genomics, signals)

2. Biomedical Signal Processing
• ECG, PPG, BP, HRV, EEG, EMG, EOG, respiratory signals

• Nonlinear, statistical, and adaptive signal analysis

• Multichannel, spatial, and connectivity analysis

• Machine learning–driven signal interpretation

• Wearable, clinical, and translational monitoring systems

3. Molecular & Omics-Based Personalized Medicine
• GWAS, PRS, bulk and single-cell RNA-seq, proteomics, metabolomics

• Risk prediction, prognosis modeling, patient stratification

• Liquid biopsy and circulating biomarkers

• Causal inference, trial emulation, longitudinal modeling

• Cross-modal data fusion (omics + EHR + imaging/signals)

4. Drug Discovery & Repurposing
• Structure-based drug design and virtual screening

• Protein structure analysis (PDB/mmCIF)

• Chemo informatics, QSAR, ADMET modeling

• Drug–target interaction and sensitivity prediction

• Molecular dynamics simulation and stability analysis

5. Regulatory Science & Clinical Policy
• FDA/EMA pathways and clinical practice guidelines

• Diagnostic and therapeutic validation constraints

• Ethical AI use, safety, compliance, and governance

• Privacy-preserving learning and auditability

• Apply deep biomedical expertise to

cutting-edge AI systems

shaping the future of healthcare

• Influence how next-generation AI models reason about complex biomedical problems

• Collaborate with

global AI researchers and domain experts

• Fully remote, intellectually challenging work with real-world impact

• Contribute without needing prior AI or machine learning experience

• Fully remote role

• Contractor assignment

• Contract duration:

3–6 months

(expected start: next week)

• Work commitment:

8 hours/day

with

4-hour PST overlap

•

Round 1:

MCQs and take-home assessment
•

Round 2:

Delivery interview