Biomedical Informatics, Bioinformatics, Computational Biology Master Preferred

Needs to hire 20 Freelancers 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 Background ● Master's degree of experience in biomedical data processing and interpretation.- Preferred ● 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 (optional) Domain Expertise Requirements [Optional ] Candidates must demonstrate deep, expert-level knowledge in at least TWO (2) of the following five core bioinformatics 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 resolution limits ● Intensity standardization and harmonization ● Geometric transformations and spatial calibration ● Multi-modal image registration and alignment ● Morphological and topological shape analysis ● Quantitative imaging feature extraction ● Fusing data from different modalities (MRI, PET, Genomics) for a comprehensive view to tailor treatments ● pattern recognition and predictive modeling 2. Biomedical Signal Processing ● Cardiovascular/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 Analysis ● Multichannel, Spatial, and Connectivity Signal Analysis ● Machine Learning and Data‑Driven Biomedical Signal Analysis ● Clinical Monitoring, Wearable, and Translational Signal Processing 3. Molecular & Omics based Personalized Medicine ● Omics based risk / disease prediction (GWAS, PRS, bulk, single‑cell RNA‑seq, proteins / metabolite signatures associated with diseases) ● Risk Prediction and Prognosis Modeling ● Molecular patient subtyping ● Liquid 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 Progression ● Patient Stratification and Subtyping (molecular subtypes, endotypes) ● Electronic Health Records and Clinical Data Science 4. Drug Discovery & Repurposing ● Treatment response prediction ● Structure-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 Modeling ● Drug–target interaction prediction ● Drug sensitivity prediction in disease models ● Repurposing via omics/network associations ● Predictive Modeling for Drug Discovery Molecular Dynamics Simulation of Biomolecules (QM, DFT, stability, reactivity, PCA analysis ) 5. Software / Utilities ● Tool 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 troubleshooting ● Batch processing and report generation ● Pipeline interoperability checks ● Reproducibility packaging (configs, manifests) ● Debugging typical bioinformatics tool errors 6. Regulatory Science and Clinical Policies ● FDA/EMA regulatory pathways ● Clinical Practice Guidelines & Standards of Care (e.g., NCCN, AHA, etc.) ● Diagnostic Biomarker & Therapeutic Use Constraints ● Medical Scenario Reasoning (case vignettes, Differential diagnosis) ● Data & Content Compliance ● Ethical Use, Safety, and Harm Prevention ● Model Use Governance & Auditability ● Policy‑Aligned Language & Communication ● Clinical validation and cohort generalization ● Privacy‑preserving learning Perks of Freelancing With Jupiter AI labs: ● Work in a fully remote environment. ● Opportunity to work on cutting-edge AI projects with leading LLM companies. ● Potential for contract extension based on performance and project needs. Full time dedication (40 hours / week) Requires 4 hours overlap with PST (Pacific Standard Time) Opportunity- Full Time, 4 hours 7-11 pm IST is mandatory time , rest 4 hrs is optional /flexible =Paid interview of 90 min Hourly rate: $8 USD or monthly pay as per consensus Are you available from fixed pay of 173 hrs at 8 USD /hr for 8 hrs daily for one month cycle. If yes the payment will be in this way, if you work from 1 Jan to 31 Jan , our system pay by 17-18 Feb as per upwork payment , and similar the cycle continue every month Deliverables • Develop AI applications using Python and LLMs • Collaborate with the team to design and implement AI models • Optimize and refine AI algorithms for performance Mandatory requirement : We are onboarding qualified **Bioinformatics experts/researchers** for an upcoming **task-based AI evaluation and scientific reasoning project** with Jupiter AI Labs. **Project work:** You will work on investigation-style tasks using real scientific inputs. Each task requires selecting an appropriate methodology, executing/analyzing it correctly, and reasoning toward a scientifically defensible conclusion. **Required:** • Master’s degree or higher in **Bioinformatics or a closely related field**; PhD preferred • Currently pursuing the degree OR already qualified and working/researching in the field • Strong scientific analysis and reasoning skills **Preferred experience:** • Genomics / metagenomics • Computational science or programming • Nextflow • Machine learning / data analysis applied to bioinformatics Before we shortlist your profile, please confirm: 1. Highest degree and specialization: 2. Current role/research status: 3. Genomics/metagenomics experience: 4. Programming/computational experience: 5. Nextflow experience: Yes/No 6. Availability per week: 7. Are you comfortable with a task-based project, where work volume may vary based on available tasks? 8. Are you comfortable with a monthly payment cycle, with payment processed approximately Net 15–17 days after the monthly billing/approval cycle?** 9. Please share your latest Resume/CV. If you agree with the project structure and payment cycle, please reply Agreed along with the above information and your CV. Regards, Jupiter AI Labs