استخدام کارشناس علم داده (حوزه پزشکی-دورکاری)
شرح موقعیت شغلی
What you’ll do
● Develop, train, and validate ML/AI models on healthcare and clinical datasets.
● Work with real-world clinical data — EHR, imaging, labs, registries — including messy, incomplete, and multi-source data.
● Design rigorous validation: clinical relevance, bias, generalization, calibration, and safety; document the evidence.
● Translate clinical workflows and questions into well-scoped modeling problems with clinicians.
● Build reproducible data and modeling pipelines with full traceability and auditability.
● Partner with clinical advisors and engineering to move models toward governed, production use.
● Uphold data privacy, security, and regulatory expectations (including PHI handling).
What we’re looking for
● Strong experience applying AI/ML to healthcare data and clinical problems.
● Hands-on with medical datasets (clinical / EHR, imaging, labs, or registries) and their real-world pitfalls.
● Solid understanding of clinical workflows and how models fit into care.
● Rigorous model validation: study design, metrics, bias, generalization, and clinical safety.
● Discipline around reproducibility, documentation, and data governance.
Technical skill stack
The tools and technologies you should be strong in. We don’t expect every single item — depth in the core stack matters most.
● Programming: Python (expert) and SQL; R a plus
● ML & deep learning: scikit-learn, PyTorch, TensorFlow / Keras, XGBoost / LightGBM
● Data engineering: pandas, NumPy, Polars, SciPy, statsmodels; reproducible pipelines
● Clinical NLP: Hugging Face Transformers, spaCy / scispaCy, cTAKES or MedCAT for clinical text
● Medical imaging (role-dependent): MONAI, SimpleITK, pydicom, nibabel, OpenCV
● Healthcare data standards: FHIR, HL7, DICOM, OMOP CDM; ICD, SNOMED CT, and LOINC coding
● Statistics & validation: biostatistics, survival analysis, calibration, causal inference, bias / fairness metrics, study design
● MLOps: MLflow, Weights & Biases, DVC, Docker; experiment tracking and model registries
● Data platforms: PostgreSQL, BigQuery or Snowflake; Spark a plus
● Cloud & AI platforms: AWS SageMaker, GCP Vertex AI, or Azure ML
● Privacy & compliance: PHI / HIPAA handling, de-identification, and data governance (GDPR / PIPEDA aware)
مهارتهای مورد نیاز
- علوم داده
- tensorflow
- Pytorch
حداقل سابقه کار
- سه تا شش سال
جنسیت
- مهم نیست
وضعیت نظام وظیفه
- مهم نیست