Associate Director, Portfolio Modeling & Simulation

Posted 9 Days Ago
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Cambridge, MA
In-Office
150K-185K
Mid level
Biotech
The Role
Lead the design and implementation of quantitative models for strategic portfolio modeling, incorporating optimization and simulation techniques to inform decision-making.
Summary Generated by Built In

THE ROLE

We are seeking an Associate Director, Portfolio Modeling & Simulation to join the Strategic Operations and Analytics team to collaborate with Pioneering Intelligence (PI), a Flagship initiative dedicated to developing AI/ML-powered platforms for transformative applications in life sciences and related fields, to build a state-of-the-art computational capabilities for strategic portfolio modeling. Flagship Pioneering increasingly leverages data and systems to create novel insights that drive some of the most important decisions made across the Flagship enterprise. The Strategic Operations and Analytics team works closely with Flagship’s CEO, Managing Partners, and most teams across Flagship in support of driving value throughout the organization and across our companies. In this role, you will lead the design and implementation of quantitative models that guide portfolio strategy across a complex pipeline. You will advance the science and ship decision tools that translate research into strategic resourcing and allocation choices for high-impact decisions across the Flagship ecosystem by building proprietary models and leveraging state-of-the-art computational methods. 

KEY RESPONSIBILITIES

  • Formulate and solve multi-objective portfolio optimization problems using modern optimization libraries and state-of-the-art statistical methods; generate Pareto trade-offs and scenario recommendations.
  • Develop and validate PTRS models; calibrate against internal/external benchmarks and quantify uncertainty.
  • Build portfolio simulations (e.g., Monte Carlo, scenario/sensitivity, discrete-event) to quantify risk-adjusted value, timelines, and resource needs
  • Incorporate asset interdependencies (correlated technical risk, shared resources, indication overlap) and real-world constraints into models
  • Design decision frameworks to inform asset selection, staging, and go/no-go decisions
  • Build and maintain data pipelines; ensure data quality and documentation
  • Create visualizations for translating complex results into key insights 
  • Collaborate cross-functionally to develop, validate, and refine models
  • Present progress in regular research meetings, prepare reports, and present findings for stakeholders and leadership
  • Stay up to date on advances in Bayesian modeling, stochastic/robust optimization, and portfolio analytics; propose and prototype improvements

PROFESSIONAL EXPERIENCE & QUALIFICATIONS 

  • PhD in a highly quantitative field (Statistics, Applied Math, Operations Research, Computer Science, Econometrics, Biostatistics, or similar).
  • Deep proficiency in probabilistic/Bayesian modeling and uncertainty quantification (hierarchical models, survival/time-to-event, calibration, posterior predictive checks).
  • Hands-on simulation experience (Monte Carlo, scenario/stress testing, discrete-event) plus sensitivity/uncertainty analysis.
  • Decision/valuation modeling for R&D portfolios (risk-adjusted NPV, VOI/EVSI, real options); ability to translate business questions into quantitative experiments.
  • Fluency in Python and standard statistical analysis packages
  • Demonstrated ability to collaborate in interdisciplinary teams and communicate complex technical concepts effectively
  • Ability to take initiative and work independently
  • Excellent analytical and problem-solving skills tailored to innovative computational research

Preferred Qualifications

  • Prior industry experience (3+ years)
  • Experience analyzing large-scale pharma/biotech or healthcare datasets and deriving strategic insights
  • Prior use of specialized competitive intelligence databases (e.g. Clarivate Cortellis, EvaluatePharma, Citeline, GlobalData, etc.)
  • Experience with version control software (e.g. Git) and AWS cloud computing
  • Experience building PTRS models and familiarity with the PTRS literature and benchmarks.
  • Biotech/pharma domain experience: development stage gates, clinical success rates, indication correlations, and trial timeline/resource modeling.
  • Experience with experiment tracking and model governance (MLflow/W&B/DVC), and lightweight Python-based data pipelines.

ABOUT FLAGSHIP PIONEERING

Flagship Pioneering invents and builds platform companies, each with the potential for multiple products that transform human health, sustainability and beyond. Since its launch in 2000, Flagship has originated more than 100 companies. Many of these companies have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture.  

Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com.

At Flagship, we accept impossible missions to enable bigger leaps. Our core values guide us through uncertainty and toward lasting impact.

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

We recognize that great candidates often bring unique strengths without fulfilling every qualification. If you have some of the experience listed above but not all, please apply anyway. We are dedicated to building diverse and inclusive teams and look forward to learning more about your background and interest in Flagship.

Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.

#LI-NM1

The salary range for this role is $150,000 - $203,500. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Flagship Pioneering currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Flagship Pioneering’s good faith estimate as of the date of publication and may be modified in the future.

Top Skills

AWS
Bayesian Modeling
Monte Carlo Simulation
Python
Statistical Analysis Packages
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The Company
HQ: Cambridge, MA
475 Employees
Year Founded: 2000

What We Do

Flagship Pioneering conceives, creates, resources, and develops first-in-category life sciences companies to transform human health and sustainability.

Since its launch in 2000, the firm has applied a unique, hypothesis-driven innovation process to originate and foster more than 100 scientific ventures, resulting in over $30 billion in aggregate value. To date, Flagship is backed by >$3 billion of aggregate capital commitments, of which over $1.5 billion has been deployed toward the founding and growth of its pioneering companies alongside >$10 billion of follow-on investments from other institutions.

The current Flagship ecosystem includes Denali Therapeutics (NASDAQ: DNLI), Evelo Biosciences (NASDAQ: EVLO), Moderna Therapeutics (NASDAQ: MRNA), Rubius Therapeutics (NASDAQ: RUBY), Seres Therapeutics (NASDAQ: MCRB), and Syros Pharmaceuticals (NASDAQ: SYRS).

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