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GitHub 저장소

biopharma-skills

biopharma-skills에는 gosset-ai에서 수집한 skills 10개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.

수집된 skills
10
Stars
4
업데이트
2026-03-13
Forks
0
직업 범위
직업 카테고리 8개 · 100% 분류됨
저장소 탐색

이 저장소의 skills

clinical-trial-design
의학 과학자(역학자 제외)

Assess clinical trial design feasibility for biopharma due diligence. Evaluates patient population, biomarker prevalence, endpoint selection, comparator analysis, enrollment projections, and regulatory precedent. Use when users ask about trial design, feasibility assessment, enrollment projections, endpoint strategy, or trial success probability.

2026-03-13
clinical-trials-search
기타 의사

Search and analyze clinical trials for competitive intelligence. Find trials by drug, target, indication, sponsor, phase, or status. Use when users ask about clinical trials, enrollment, trial design, or competitive trial landscapes.

2026-03-13
competitive-intelligence
데이터 과학자

Comprehensive competitive intelligence for biopharma assets and indications. Analyzes competitive landscape, pipeline positioning, differentiation, and market dynamics. Use when users ask about competitive landscape, market positioning, pipeline comparison, or competitive threats.

2026-03-13
deal-analysis
재무 및 투자 분석가

Analyze biopharma deals (M&A, licensing, collaborations) for due diligence and competitive intelligence. Evaluates deal terms, comparables, valuations, and strategic rationale. Use when users ask about deal analysis, transaction comparables, licensing terms, M&A valuation, or deal flow.

2026-03-13
drug-repurposing
의학 과학자(역학자 제외)

Identify drug repurposing candidates using target-based, compound-based, and disease-driven strategies. Searches existing drugs for new therapeutic indications by analyzing targets, clinical data, safety profiles, and deal precedents. Use when exploring repurposing opportunities, new indications for approved drugs, or therapeutic alternatives.

2026-03-13
drug-target-validation
의학 과학자(역학자 제외)

Comprehensive computational validation of drug targets for due diligence. Evaluates targets across multiple dimensions — disease association, druggability, clinical precedent, safety, competitive landscape. Produces a quantitative Target Validation Score with GO/NO-GO recommendation. Use when users ask about target validation, druggability, or "is X a good drug target for Y?"

2026-03-13
literature-mining
기타 생물 과학자의학 과학자(역학자 제외)

Systematic literature mining and evidence synthesis for biopharma research. Automates literature search, screening, data extraction, and synthesis. Use when users ask for literature reviews, evidence synthesis, publication analysis, or systematic searches on a biomedical topic.

2026-03-13
patent-landscape
기타 비즈니스 운영 전문가

Analyze patent landscapes for biopharma assets, targets, and therapeutic areas. Covers prior art, freedom-to-operate, patent expiry, IP positioning, and competitive IP mapping. Use when users ask about patents, IP landscape, freedom to operate, patent cliffs, or exclusivity.

2026-03-13
pipeline-analysis
소프트웨어 개발자

Analyze biopharma company pipelines for due diligence and competitive intelligence. Maps pipeline assets by phase, indication, target, and modality. Identifies pipeline gaps, concentration risks, and strategic positioning. Use when users ask about company pipelines, pipeline comparison, portfolio analysis, or R&D strategy assessment.

2026-03-13
regulatory-intelligence
시장조사 분석가·마케팅 전문가

Regulatory intelligence for biopharma due diligence and strategy. Covers FDA/EMA approvals, regulatory pathways, advisory committees, PDUFA dates, breakthrough/fast track designations, and biosimilar/generic entry. Use when users ask about regulatory status, approval timelines, FDA filings, regulatory strategy, or agency interactions.

2026-03-13