Biotech Pitch Deck Narrative

Biotech Pitch Deck Narrative

Overview

Strategic communication tool that translates complex biotechnology innovations into compelling business narratives optimized for venture capital, pharmaceutical partnerships, and public market investors.

Key Capabilities:

When to Use

✅ Use this skill when:

❌ Do NOT use when:

Integration:

Core Capabilities

1. Science-to-Business Translation

Convert technical concepts into investor-friendly language:

from scripts.narrative_engine import BiotechNarrativeEngine
engine = BiotechNarrativeEngine()
Translate technical description
translation = engine.translate_science(
    technical_description="""
    Our proprietary AAV9-based gene therapy utilizes a codon-optimized 
    transgene under control of a liver-specific promoter to restore 
    functional enzyme in patients with MPS I deficiency.
    """,
    audience="generalist_vc",
    preserve_accuracy=True
)
print(translation.business_narrative)
"One-time gene therapy delivering a functional copy of the missing enzyme, 
 potentially curing MPS I rather than managing symptoms"

Translation Strategies: | Technical Concept | Business Translation | Why It Works | |-------------------|---------------------|--------------| | "CRISPR-Cas9 gene editing" | "Precision genetic medicine platform" | Platform implies scalability | | "Phase II clinical data" | "De-risked asset with human proof-of-concept" | Reduces perceived risk | | "Off-target effects" | "Industry-leading specificity profile" | Competitive framing | | "MOA via JAK-STAT pathway" | "Novel mechanism addressing root cause" | Value proposition |

2. Narrative Architecture

Structure pitch deck flow for maximum impact:

# Generate complete narrative arc
narrative = engine.build_narrative(
    company_stage="series_b",
    science_type="gene_therapy",
    clinical_stage="phase_2",
    target_market="rare_disease",
    key_differentiation="one_time_cure"
)
Access each component
print(narrative.hook)           # Opening grab
print(narrative.problem)        # Market pain point
print(narrative.solution)       # Your approach
print(narrative.traction)       # Validation to date
print(narrative.ask)            # Funding request

Narrative Structure: 1. Hook (30 seconds): Why this, why now, why you 2. Problem ($B+ market): Unmet medical need, current standard limitations 3. Solution: Your technology/platform, mechanism of action 4. Traction: Clinical data, partnerships, validation 5. Market: Size, competition, your advantage 6. Team: Track record, why you'll succeed 7. Ask: Funding amount, use of proceeds, milestones

3. Stage-Specific Optimization

Calibrate message depth for funding round:

# Optimize for different stages
seed_narrative = engine.optimize_for_stage(
    base_narrative=narrative,
    stage="seed",
    focus="team_and_vision"  # Seed cares about team and big idea
)
series_a_narrative = engine.optimize_for_stage(
    base_narrative=narrative,
    stage="series_a",
    focus="proof_of_concept"  # Series A needs validation
)
ipo_narrative = engine.optimize_for_stage(
    base_narrative=narrative,
    stage="ipo",
    focus="commercial_readiness"  # IPO requires near-term revenue
)

Stage Requirements: | Stage | Key Questions | Focus Areas | |-------|---------------|-------------| | Seed ($500K-$2M) | Can you execute? | Team, vision, early validation | | Series A ($10-30M) | Does it work? | POC data, IP position, market entry | | Series B ($30-75M) | Will it scale? | Phase 2/3 data, BD traction, team expansion | | Series C/IPO ($100M+) | Commercial execution | Registration trials, launch prep, revenue path |

4. Investor Audience Calibration

Adapt tone and depth for different investor types:

# Calibrate for specific investor
calibrated = engine.calibrate_for_audience(
    narrative=narrative,
    investor_type="healthcare_vc",  # vs "generalist_vc" or "pharma_corp"
    technical_depth="moderate",      # Depth of scientific detail
    risk_tolerance="high"            # Early vs late stage framing
)

Investor Types:

Common Patterns

Pattern 1: Clinical-Stage Therapeutics

Scenario: Phase 2 biotech raising Series B.

# Generate complete pitch narrative
python scripts/main.py \
  --science "Small molecule inhibitor targeting mutant KRAS G12C" \
  --stage "phase_2" \
  --indication "lung_cancer" \
  --data "ORR 45%, median PFS 6.5 months" \
  --competition "Mirati, J&J" \
  --output series_b_narrative.json

Narrative Elements:

Pattern 2: Platform Company

Scenario: Novel delivery platform company raising seed.

platform_narrative = engine.generate_platform_narrative(
    platform_technology="Lipid nanoparticle for CNS delivery",
    differentiator="Crosses BBB with 50x improvement over existing LNPs",
    applications=["Alzheimer's", "Parkinson's", "brain_cancer"],
    stage="seed",
    target="platform_value_creation"
)

Platform Story Arc:

Pattern 3: MedTech Device

Scenario: Surgical robotics company Series A.

device_narrative = engine.generate_device_narrative(
    device_type="surgical_robot",
    clinical_benefit="50% reduction in complications, 30% faster recovery",
    regulatory_path="510k_de_novo",
    reimbursement="CPT_code_established",
    stage="series_a"
)

Device-Specific Elements:

Pattern 4: Pharma Partnership Pitch

Scenario: Out-licensing asset to big pharma.

# Generate BD materials
python scripts/main.py \
  --mode partnership \
  --asset "Phase 2 ready asset" \
  --indication "NASH" \
  --data_package "Phase 1b complete, biomarker validated" \
  --partner_profile "novo_nordisk" \
  --output bd_presentation.json

Partnership Framing:

Complete Workflow Example

Building comprehensive fundraising materials:

from scripts.narrative_engine import BiotechNarrativeEngine
from scripts.slide_generator import SlideGenerator
from scripts.qa_prep import QAPreparation
Initialize
engine = BiotechNarrativeEngine()
slides = SlideGenerator()
qa = QAPreparation()
Step 1: Generate core narrative
narrative = engine.build_narrative(
    company_stage="series_a",
    therapeutic_area="oncology",
    modality="cell_therapy",
    clinical_stage="phase_1",
    key_differentiation="allogeneic_off_the_shelf"
)
Step 2: Create slide-by-slide guidance
slide_guide = slides.generate_guide(
    narrative=narrative,
    n_slides=12,
    include_visual_suggestions=True
)
Step 3: Prepare Q&A
qa_prep = qa.generate_qa(
    narrative=narrative,
    investor_type="healthcare_vc",
    depth="comprehensive"
)
Step 4: Export complete package
engine.export_package(
    narrative=narrative,
    slides=slide_guide,
    qa=qa_prep,
    output_dir="series_a_pitch_package/"
)

Quality Checklist

Narrative Quality:

Translation Accuracy:

Investor Alignment:

Before Presentation:

Common Pitfalls

Translation Errors:

Narrative Mistakes:

Stage Mismatch:

References

Available in references/ directory:

Scripts

Located in scripts/ directory:

Limitations

Parameters

| Parameter | Type | Default | Required | Description | |-----------|------|---------|----------|-------------| | --science | string | - | Yes* | Scientific description of technology | | --stage | string | - | Yes* | Funding stage (pre-seed, seed, series-a, etc.) | | --audience | string | - | Yes* | Target audience type (generalist-vc, healthcare-vc, etc.) | | --section | string | - | No | Section to rewrite (hook, problem, solution, etc.) | | --content | string | - | No | Content to rewrite | | --input | string | - | No | Input file path | | --output, -o | string | - | No | Output file path |

*Required depending on subcommand

Usage

Basic Usage

# Generate narrative from science description
python scripts/main.py generate --science "CRISPR gene therapy for sickle cell" --stage series-a --audience healthcare-vc
Rewrite specific section
python scripts/main.py rewrite --section technology --content "We use AAV vectors..." --audience generalist-vc
Analyze existing pitch deck
python scripts/main.py analyze --input pitch.pptx --stage series-a

Risk Assessment

| Risk Indicator | Assessment | Level | |----------------|------------|-------| | Code Execution | Python script executed locally | Low | | Network Access | No external API calls | Low | | File System Access | Read/write files | Low | | Data Exposure | May process confidential business info | Medium | | Regulatory | Does not ensure SEC compliance | Medium |

Security Checklist

Prerequisites

# Python 3.7+
No additional packages required (uses standard library)

Evaluation Criteria

Success Metrics

Test Cases

Lifecycle Status

💼 Business Note: Successful biotech fundraising requires balancing scientific credibility with business appeal. This tool helps structure narratives, but the underlying science and team execution ultimately determine success. Always maintain integrity—overpromising destroys credibility with sophisticated investors.

Basic Usage

# Generate narrative from science description
python scripts/main.py generate --science "CRISPR gene therapy for sickle cell" --stage series-a --audience healthcare-vc
Rewrite specific section
python scripts/main.py rewrite --section technology --content "We use AAV vectors..." --audience generalist-vc
Analyze existing pitch deck
python scripts/main.py analyze --input pitch.pptx --stage series-a

# Python 3.7+
No additional packages required (uses standard library)