Director, Portfolio Analytics

BlueRock Therapeutics; Cambridge (MA); On-site; USD 130,000 - 180,000; Full time

Job summary

A leading biotechnology company in Cambridge is seeking a Director of Portfolio Analytics. This role will focus on data analytics and forecasting to support early clinical programs. The ideal candidate will work with cross-functional teams and utilize AI techniques to enhance portfolio management. Strong communication and project management skills are essential, along with extensive experience in commercial forecasting.

Qualifications

• 10+ years of experience with a bachelor's degree or 7+ years with an advanced degree.
• At least 5 years in commercial forecasting or analytical roles.

Responsibilities

• Develop and implement advanced forecasting models to predict market trends.
• Collaborate with cross-functional teams to align analytics with business strategies.
• Stay updated on industry trends and integrate relevant advances.

Skills

Attention to Detail

Project Management

Communication

Data Analysis

Collaboration

Education

Bachelor's Degree in Sciences

MSc, MBA, Ph.D.

Tools

AI and Machine Learning Tools

Data Visualization

Job description

The Director, Portfolio Analytics will report to the SVP, Early Commercial and Development Strategy & Operations and will contribute to the Early Commercial Team and BlueRock Development Team. The role supports the BlueRock portfolio of research and early clinical programs by building capabilities in data analytics, portfolio forecasting, and related business processes to inform decision-making.

The individual must have a high attention to detail and document supporting assumptions when creating and maintaining deliverables to articulate viewpoints on commercial potential and investments. The ideal candidate can work effectively in a team-oriented setting with cross-functional stakeholders, including finance, research, product planning, insights, clinical development, regulatory, program management, and business development.

Responsibilities:

1. Forecasting and Predictive Analytics: Develop and implement advanced forecasting models to predict market trends, patient outcomes, and financial performance, informing program indication strategy and commercial opportunities.
2. Communicate forecasts, assumptions, rationale, and supporting information clearly and transparently to relevant audiences.
3. AI Integration: Use AI and machine learning techniques to enhance data analysis, identify patterns, and generate actionable insights for portfolio management.
4. Data Management: Oversee collection, integration, and analysis of datasets from various sources, ensuring data accuracy and integrity.
5. Strategic Planning: Collaborate with cross-functional teams to align analytics efforts with business strategies and objectives.
6. Support corporate strategy initiatives and special projects as the analytics expert, leveraging disease area, epidemiology, and product knowledge to inform decisions.
7. Partner with senior management, finance, and colleagues on strategic initiatives and portfolio assessments.
8. Innovation: Stay updated on industry trends and emerging technologies in AI and analytics, integrating relevant advances into BlueRock Development and Early Commercial processes.
9. Collaboration: Work with program teams and functional experts, and establish relationships with partners and data suppliers.
10. Support commercial assessments and business case development for potential business development opportunities.
11. Develop strategic deliverables, framing business questions, and creating graphics to communicate insights effectively.
12. Serve as a thought partner for cross-functional leaders, supporting the evolution of BlueRock programs.

Minimum Requirements:

• 10+ years of professional experience with a bachelor's degree in sciences, or 7+ years with an advanced degree (MSc, MBA, Ph.D.).
• Vendor management experience required.
• At least 5 years in commercial forecasting or analytical roles; global experience preferred.
• Proficiency in AI, machine learning tools, data visualization, and data analysis preferred.
• Detail-oriented self-starter capable of analyzing, synthesizing, and presenting complex content.
• Strong project management skills with the ability to handle multiple projects simultaneously.
• Understanding of pharmaceutical R&D processes and regulatory environments.
• Excellent communication skills for presenting complex data to non-technical stakeholders.
• Estimated travel: 5-10%.

#LI-AL1