Job Title

Biomedical Informatics Subject Matter Experts (SMEsJob DescriptionRole Overview:We are seeking highly skilled Biomedical Informatics Subject Matter Experts (SMEs) to join our team in developing rigorous, high-quality evaluation questions designed to assess and challenge advanced AI models. The primary objective is to create benchmark questions that test the boundaries of AI capabilities across diverse bioinformatics domains.This role requires deep technical expertise combined with the ability to craft precise, unambiguous questions with well-defined evaluations. The ideal candidate will possess not only strong theoretical knowledge but also practical experience in designing assessment materials that have deterministic, verifiable outcomes.Responsibilities:Design and develop challenging bioinformatics 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 criteria for each bioinformatics question.Ensure every question is self-contained, well-defined, and completely unambiguous, including all domain rules and edge cases.Develop problems where there is exactly one correct answer or outcome that can be deterministically validated.Translate theoretical bioinformatics concepts into concrete, measurable outputs.Enforce performance requirements with explicit constraints and tests to prevent inefficient or brute-force solutions.Required Qualifications:Educational BackgroundMaster'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, Bioinformatics, Computational Biology or a closely related field (preferred).Technical and other skillsStrong proficiency in biomedical data processing, analysis, and interpretation, including working with large‑scale datasets.Experience with bioinformatics tools and pipelines (e.g., NGS workflows, multi‑omics, etc.).Solid programming skills in Python / RExperience working in Linux/Unix, Docker and version control.Strong communication and collaboration skills for working in interdisciplinary research teamsDomain Expertise RequirementsCandidates must demonstrate deep, expert-level knowledge in at least TWO (2) of the following five core bioinformatics domains:1. Biomedical Image ProcessingProcessing of Radiology imaging: CT, MRI, PET/SPECT, Ultrasound imagingAutomating cell counting, identifying cell types, and analyzing tissue structures in pathology slidesComputational segmentation and boundary inferenceMedical image formation, reconstruction & enhancementNoise modeling and statistical denoisingImage sampling theory and resolution limitsIntensity standardization and harmonizationGeometric transformations and spatial calibrationMulti-modal image registration and alignmentMorphological and topological shape analysisQuantitative imaging feature extractionFusing data from different modalities (MRI, PET, Genomics) for a comprehensive view to tailor treatmentspattern recognition and predictive modeling2. Biomedical Signal ProcessingCardiovascular/hemodynamic signals (ECG, PPG, BP, HRV, etc)Neural/brain electrical signals (EEG, EP/ERP; seizure/cognitive analysis)Neuromuscular/motor signals (EMG, motor unit decomposition; prosthetics/rehab)Ocular/visual system signals (EOG, blink/saccade analysis)Respiratory signals (airflow, effort; sleep/disordered breathing)Nonlinear, Statistical, and Adaptive Signal AnalysisMultichannel, Spatial, and Connectivity Signal AnalysisMachine Learning and Data‑Driven Biomedical Signal AnalysisClinical Monitoring, Wearable, and Translational Signal Processing3. Molecular & Omics based Personalized MedicineOmics based risk / disease prediction (GWAS, PRS, bulk, single‑cell RNA‑seq, proteins / metabolite signatures associated with diseases)Risk Prediction and Prognosis ModelingMolecular patient subtypingLiquid Biopsy and Circulating Biomarkers (ctDNA, cfRNA/miRNA, MRD, etc.)Causal Inference & Mechanistic Inference (ATE/CATE, Trial emulation and counterfactual modeling)Cross‑modal data fusion (omics + EHR + imaging / signals)Longitudinal Patient Modeling and Disease ProgressionPatient Stratification and Subtyping (molecular subtypes, endotypes)Electronic Health Records and Clinical Data Science4. Drug Discovery & RepurposingTreatment response predictionStructure-based drug design (Molecular docking, binding site analysis, Virtual screening workflow)Protein structure analysis (PDB/mmCIF handling)Chemoinformatics ( Ligand-based screening, molecular fingerprinting, 2D/3D data handling and chemical space analysis)QSAR & ADMET ModelingDrug–target interaction predictionDrug sensitivity prediction in disease modelsRepurposing via omics/network associationsPredictive Modeling for Drug Discovery Molecular Dynamics Simulation of Biomolecules (QM, DFT, stability, reactivity, PCA analysis )5. Software / UtilitiesTool installation & environment management (docker/conda/pip)Format conversion/validation (FASTA/FASTQ, BAM/VCF, PDB)GUI-driven analysis workflows (step-by-step runs)Workflow automation (scripts wrapping GUI tools)Visualization tools (genome browsers, 3D viewers)Container/VM execution and troubleshootingBatch processing and report generationIf Intrested. Please submit your CV to Khushboo@ or share it via WhatsApp at 8827565832Stay updated with our latest job opportunities and company news by following us on LinkedIn: :#Bioinformatics #ComputationalBiology #BiomedicalAI #HealthcareAI #NGS #MultiOmics #BiomedicalImageProcessing #SignalProcessing #DrugDiscovery #PrecisionMedicine #ClinicalDataScience #Python #ResearchCareers #HiringNow #Sourcebae