Remote Biomedical Informatics SME - 58854

Turing

Austin (TX)

Remote

USD 83,000 - 152,000

Part time

14 days+

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Benefits offered by this job

Fully remote work environment

Work on cutting-edge AI projects

Potential for contract extension

Flexible time commitment

Job summary

A leading AI research company is searching for highly skilled Biomedical Informatics Subject Matter Experts to design rigorous evaluation questions for advanced AI models. Ideal candidates must have deep expertise and experience in biomedical data processing, knowledge of bioinformatics tools, and excellent programming skills. This remote role offers engagement on cutting-edge AI projects, with contract terms requiring a commitment of at least 30 hours per week, and focuses on rigorous academic research-oriented evaluations.

Qualifications

Master's degree in biomedical data processing.
Ongoing PhD with at least 3 years of relevant experience.
Expert-level knowledge in at least two core bioinformatics domains.

Responsibilities

Design and develop bioinformatics questions pushing AI boundaries.
Create automated coding-based evaluations with unit tests.
Build comprehensive evaluation rubrics with distinct criteria.
Ensure well-defined, self-contained questions.

Skills

Biomedical data processing, analysis, and interpretation

Experience with bioinformatics tools and pipelines

Solid programming skills in Python / R

Experience working in Linux/Unix

Strong communication and collaboration skills

Bioinformatics pipelines

Unit tests

Education

Master's degree in biomedical data processing

Ongoing PhD with 3+ years experience

Completed PhD in Biomedical Informatics or related field

Tools

Docker

Multi-omics pipelines

Git / version control

Job description

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality 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 transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L

Role 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 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, Bioinformatics, Computational Biology or a closely related field (preferred).

Technical and other skills

Strong 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 / R
Experience working in Linux/Unix, Docker 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 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
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)
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
Liquid Biopsy and Circulating Biomarkers (ctDNA, cfRNA/miRNA, MRD, etc.)
Causal Inference & Mechanistic Inference (ATE/CATE, Trial emulation and counterfactual modeling)
Longitudinal Patient Modeling and Disease Progression
Patient Stratification and Subtyping (molecular subtypes, endotypes)
Electronic Health Records and Clinical Data Science

4. Drug Discovery & Repurposing

Structure‑based drug design (Molecular docking, binding site analysis, Virtual screening workflow)
Chemoinformatics (Ligand‑based screening, molecular fingerprinting, 2D/3D data handling and chemical space analysis)
Drug sensitivity prediction in disease models
Predictive Modeling for Drug Discovery Molecular Dynamics Simulation of Biomolecules (QM, DFT, stability, reactivity, PCA analysis )

5. Software / Utilities

Format conversion/validation (FASTA/FASTQ, BAM/VCF, PDB)
GUI‑driven analysis workflows (step‑by‑step runs)
Workflow automation (scripts wrapping GUI tools)
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
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 Turing

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.
Commitments Required : At least 30 hours per week. (We have 2 options of time commitment: 30 hrs/week or 40 hrs/week)
Engagement type : Contractor assignment/freelancer (no medical/paid leave)
Duration of contract : 2 months; [expected start date is next week]

Evaluation Process