Job Description

Who We Are  

Flagship Pioneering is a bioplatform innovation company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in more than $90 billion in aggregate value. Many of the companies Flagship has founded 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  .  

Position summary  

We are seeking a Senior Data Scientist 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 AI-based capabilities for enabling entirely new methods in drug development . For this role, we are looking for a talented data scientist with deep experience working with BioPharma databases such as EvaluatePharma, IQVIA, GlobalData and other related providers. The role will require an “owner’s” mindset as the subject matter expert on industry data, having demonstrated technical and creative thinking to design and build the product alongside Pioneering Intelligence.  

The Strategic Analytics and Operations team, a growing internal consulting group within 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 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.  

Responsibilities  

• Serve as the subject matter expert on industry databases and competitive intelligence in the design and build of the AI products and services.  

• In collaboration with PI, own outcomes of a tools and analyses that augment competitive intelligence and portfolio analytics across the Flagship ecosystem.  

• Design, build, and iterate bespoke analyses that synthesize diverse drug pipeline and commercial datasets into strategic insights.  

• Develop quantitative models for risk/value optimization using a range of statistical approaches (e.g. Bayesian statistics, survival models, Monte Carlo simulations, portfolio selection algorithms, etc.).  

• Prototype LLM-based workflows for specialized analyses.  

• Create visualizations for translating complex results into key insights.  

• Curate and engineer data assets from data feeds and create data ingestion pipelines  

• Collaborate cross-functionally to develop, validate, and refine models.  

• Present progress in regular research and product development meetings, prepare reports, and present findings for stakeholders and leadership.  

Qualifications  

• PhD in statistics, biostatistics, applied mathematics, computer science, physics, computational biology, or related quantitative field with a strong statistics background.  

• Fluency in Python and standard statistical analysis packages.  

• Experience analyzing large-scale pharma/biotech or healthcare datasets and deriving strategic insights.  

• Demonstrated skill with statistical modeling and optimization (e.g. Bayesian inference, survival analysis, Monte Carlo methods, portfolio theory).  

• Familiarity with the drug development pipeline.  

• Interest in LLMs and their applications.  

• 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  

• Demonstrated industry experience in applied data science enabling Competitive Intelligence across drug development portfolios (3+ years).  

• 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 leveraging LLMs in development environments  

Flagship Pioneering and our ecosystem companies are  committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.  

At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background.  

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.  

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