Medizinwissenschaftler (außer Epidemiologen)

Natur- und Sozialwissenschaften · Berufliche Fähigkeiten & Kompetenzen · SOC 19-1042 · 2.296 Skills

Beruflicher Kontext

Diese O*NET-Aufgaben beschreiben den Beruf und geben Kontext für die SOC-Zuordnung. Sie bedeuten nicht, dass jeder aufgeführte Skill jede Aufgabe erfüllt.

Follow strict safety procedures when handling toxic materials to avoid contamination.
Evaluate effects of drugs, gases, pesticides, parasites, and microorganisms at various levels.
Plan and direct studies to investigate human or animal disease, preventive methods, and treatments for disease.

Die O*NET-Aufgaben werden in ihrer Ausgangssprache (Englisch) angezeigt. Die Aufgabendaten sind der O*NET® 29.1 Database der USDOL/ETA entnommen und werden gemäß CC BY 4.0 verwendet.

Repräsentative Quellen

Eine begrenzte Auswahl beliebter, diesem Beruf zugeordneter Skills, mit höchstens einem Skill je GitHub-Repository. Darunter folgt die vollständige Zuordnung.

literature-review

学術、生物医学、技術、科学的なトピックに対するシステマティックな文献レビューワークフロー。検索計画、ソースのスクリーニング、統合、引用確認、証拠ログを含む。

html-ppt-zhangzara-monochrome

nexu-io/open-design

A grant proposal on CRISPR base-editing for sickle-cell disease — the hypothesis, the approach, the milestones, and the risk. Built as a decision-grade academic research deck for grant review committee.

davila7/claude-code-templates

Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research.

clinical-research

alirezarezvani/claude-skills

Use when designing a prospective clinical study before submission — selecting and classifying endpoints (primary / key-secondary / exploratory, with surrogate-endpoint flagging), estimating sample size and power for two-arm designs (means / proportions / survival), or scoring a study plan for feasibility and a GO / GO-WITH-CONDITIONS / REDESIGN / NO-GO phase-gate decision. Every output is an ESTIMATE plus a named human owner (clinician / biostatistician / regulatory owner) — never clinical fact, never a finished protocol. Distinct from ra-qm-team, which handles the regulatory/QM submission (ISO 13485, EU MDR, FDA 510(k)/PMA/QSR), not the study design.

Alle zugeordneten Skills

Durchsuchen Sie die vollständige Zuordnung nach Repository-Beliebtheit oder jüngster Quellaktivität.

Namen und Beschreibungen der Skills bleiben in der vom Quell-Repository bereitgestellten Sprache.

Sortieren nach

literature-review

学術、生物医学、技術、科学的なトピックに対するシステマティックな文献レビューワークフロー。検索計画、ソースのスクリーニング、統合、引用確認、証拠ログを含む。

scholar-evaluation

論文、提案書、文献レビュー、方法論セクション、証拠の質、引用サポート、研究論文フィードバックのための構造化された学術的作業評価。

pubmed-database

Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring. Use when a task needs biomedical literature from PubMed rather than general web search.

html-ppt-zhangzara-monochrome

nexu-io/open-design

A grant proposal on CRISPR base-editing for sickle-cell disease — the hypothesis, the approach, the milestones, and the risk. Built as a decision-grade academic research deck for grant review committee.

davila7/claude-code-templates

Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research.

opentargets-database

davila7/claude-code-templates

Query Open Targets Platform for target-disease associations, drug target discovery, tractability/safety data, genetics/omics evidence, known drugs, for therapeutic target identification.

davila7/claude-code-templates

Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.

davila7/claude-code-templates

Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data. This skill should be used when working with electronic health records (EHR), clinical prediction tasks (mortality, readmission, drug recommendation), medical coding systems (ICD, NDC, ATC), physiological signals (EEG, ECG), healthcare datasets (MIMIC-III/IV, eICU, OMOP), or implementing deep learning models for healthcare applications (RETAIN, SafeDrug, Transformer, GNN).

clinical-research

alirezarezvani/claude-skills

Use when designing a prospective clinical study before submission — selecting and classifying endpoints (primary / key-secondary / exploratory, with surrogate-endpoint flagging), estimating sample size and power for two-arm designs (means / proportions / survival), or scoring a study plan for feasibility and a GO / GO-WITH-CONDITIONS / REDESIGN / NO-GO phase-gate decision. Every output is an ESTIMATE plus a named human owner (clinician / biostatistician / regulatory owner) — never clinical fact, never a finished protocol. Distinct from ra-qm-team, which handles the regulatory/QM submission (ISO 13485, EU MDR, FDA 510(k)/PMA/QSR), not the study design.

Submit compact PharmGKB API requests for genes, variants, clinical annotations, dosing guidelines, and search. Use when a user wants concise PharmGKB summaries

clinical-research-guide

brycewang-stanford/Auto-Empirical-Research-Skills

Design clinical studies and report using CONSORT, STROBE guidelines

medical-imaging-guide

brycewang-stanford/Auto-Empirical-Research-Skills

Medical image analysis with deep learning for research applications