Flagship Pioneering
Senior/Principal Scientist, Biostatistics & Computational Biology
Flagship Pioneering, Boston, Massachusetts, us, 02298
Position Summary
ProFound Therapeutics is seeking a pioneering
Senior
Scientist/Principal Scientist, Biostatistics & Computational Biology
to advance the ProFoundry™ Platform through rigorous statistical modeling, inference, and translational analytics. This role is ideal for a candidate with deep expertise in
biostatistics, theoretical statistics , and quantitative data analysis, who is passionate about applying statistical principles to complex biological data relevant to
cardiometabolic or neurodegenerative disorders
to drive therapeutic discovery. The ProFoundry Atlas—a proprietary resource of genetic, transcriptomic, proteomic, and imaging data—offers a unique opportunity to uncover novel biological insights and prioritize targets for drug development. The successful candidate will play a central role in developing statistical frameworks and analytical pipelines that support preclinical research, target validation, and portfolio decision-making. Company Summary
ProFound Therapeutics is a privately held, early-stage biotechnology company founded by
Flagship Pioneering , the creators of over 75 transformative companies including Moderna Therapeutics (NASDAQ: MRNA), Seres Therapeutics (MCRB), and Indigo Agriculture. ProFound is built on a foundation of scientific innovation and entrepreneurial spirit, with a mission to redefine the boundaries of human therapeutics. Key Responsibilities
Design and implement statistical models for analyzing high-dimensional biological data, including genomics, transcriptomics, proteomics, and imaging relevant to
cardiometabolic or neurodegenerative disorders Apply principles of
theoretical and applied statistics
to develop novel inference methods tailored to biological questions Lead the development of robust, reproducible pipelines for hypothesis testing, causal inference, and predictive modeling across multi-omics datasets Collaborate with interdisciplinary teams to translate statistical findings into biological insights and therapeutic hypotheses Develop simulation frameworks and statistical benchmarking tools to evaluate model performance and data quality Apply advanced statistical modeling to support
target discovery, prioritization, and validation , integrating multi-omics and functional data Design and analyze
preclinical experiments , including dose-response studies, biomarker discovery, and mechanistic investigations Use
Bayesian and frequentist frameworks
to quantify uncertainty and support decision-making in early-stage drug development Build
simulation models
to assess study designs, optimize resource allocation, and forecast outcomes in preclinical pipelines Contribute to
portfolio-level analytics , helping prioritize targets based on statistical evidence, biological plausibility, and translational potential Support
statistical planning
for in vitro and in vivo studies, including power calculations, randomization schemes, and reproducibility assessments Develop
scoring systems and prioritization frameworks
for ranking therapeutic targets using multi-dimensional data inputs Ensure statistical rigor in the interpretation of experimental results, guiding go/no-go decisions and milestone reviews Minimum Qualifications
PhD in
Biostatistics, Statistics, Applied Mathematics , or a related quantitative field with 3+ years of postdoctoral or industry experience; or MS with 7+ years of relevant experience Strong foundation in statistical theory, including probability, inference, regression, and multivariate analysis Experience applying statistical methods to biological or biomedical datasets, including genomics, transcriptomics, or clinical data relevant to
cardiometabolic/neurodegenerative disorders Proficiency in statistical programming languages (e.g., R, Python) and familiarity with statistical computing environments Demonstrated ability to develop and validate statistical models and algorithms for complex, high-dimensional data Commitment to reproducible research and collaborative problem-solving Excellent communication skills, with the ability to explain statistical concepts to non-statistical audiences Preferred Qualifications
Expertise in
Bayesian statistics , hierarchical modeling, and probabilistic graphical models Experience with
longitudinal data analysis , survival analysis, and time-to-event modeling in clinical or biomedical contexts relevant to
cardiometabolic/neurodegenerative disorders Familiarity with
causal inference frameworks , such as propensity score methods, instrumental variables, or structural equation modeling Knowledge of
experimental design , including randomized trials, adaptive designs, and observational study methodologies Experience with
dimension reduction techniques
(e.g., factor analysis, t-SNE, UMAP) and
high-dimensional inference Exposure to
functional data analysis , spatial statistics, or statistical methods for imaging data Familiarity with
meta-analysis , statistical harmonization, and federated data analysis across cohorts Experience with
statistical consulting or collaboration
in multidisciplinary teams, especially in biomedical or pharmaceutical settings Knowledge of
regulatory standards
and statistical considerations in drug development (e.g., FDA guidelines, ICH E9/E10) Experience with
statistical software development , package creation in R/Python, or contributions to open-source statistical tools Familiarity with
cloud-based statistical workflows
and scalable computing (e.g., parallel processing, distributed computing frameworks) Experience in
preclinical biostatistics , including statistical design and analysis of in vitro and in vivo studies Familiarity with
dose-response modeling , pharmacokinetic/pharmacodynamic (PK/PD) modeling, and biomarker evaluation Knowledge of
target validation pipelines , including CRISPR screens, RNAi, and functional genomics Exposure to
portfolio analytics
and decision-support tools used in early drug discovery Understanding of
statistical considerations in translational research , including bridging preclinical and clinical data Experience with
model-based prioritization frameworks , such as multi-criteria decision analysis (MCDA) or machine learning-based scoring systems Ability to communicate statistical findings in the context of
biological relevance and therapeutic strategy 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 the resiliency and sustainability of agriculture, and more. 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-MB1 The salary range for this role is $146,000 - $236,500. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. ProFound Therapeutics, Inc. currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on ProFound Therapeutics, Inc.'s good faith estimate as of the date of publication and may be modified in the future.
#J-18808-Ljbffr
ProFound Therapeutics is seeking a pioneering
Senior
Scientist/Principal Scientist, Biostatistics & Computational Biology
to advance the ProFoundry™ Platform through rigorous statistical modeling, inference, and translational analytics. This role is ideal for a candidate with deep expertise in
biostatistics, theoretical statistics , and quantitative data analysis, who is passionate about applying statistical principles to complex biological data relevant to
cardiometabolic or neurodegenerative disorders
to drive therapeutic discovery. The ProFoundry Atlas—a proprietary resource of genetic, transcriptomic, proteomic, and imaging data—offers a unique opportunity to uncover novel biological insights and prioritize targets for drug development. The successful candidate will play a central role in developing statistical frameworks and analytical pipelines that support preclinical research, target validation, and portfolio decision-making. Company Summary
ProFound Therapeutics is a privately held, early-stage biotechnology company founded by
Flagship Pioneering , the creators of over 75 transformative companies including Moderna Therapeutics (NASDAQ: MRNA), Seres Therapeutics (MCRB), and Indigo Agriculture. ProFound is built on a foundation of scientific innovation and entrepreneurial spirit, with a mission to redefine the boundaries of human therapeutics. Key Responsibilities
Design and implement statistical models for analyzing high-dimensional biological data, including genomics, transcriptomics, proteomics, and imaging relevant to
cardiometabolic or neurodegenerative disorders Apply principles of
theoretical and applied statistics
to develop novel inference methods tailored to biological questions Lead the development of robust, reproducible pipelines for hypothesis testing, causal inference, and predictive modeling across multi-omics datasets Collaborate with interdisciplinary teams to translate statistical findings into biological insights and therapeutic hypotheses Develop simulation frameworks and statistical benchmarking tools to evaluate model performance and data quality Apply advanced statistical modeling to support
target discovery, prioritization, and validation , integrating multi-omics and functional data Design and analyze
preclinical experiments , including dose-response studies, biomarker discovery, and mechanistic investigations Use
Bayesian and frequentist frameworks
to quantify uncertainty and support decision-making in early-stage drug development Build
simulation models
to assess study designs, optimize resource allocation, and forecast outcomes in preclinical pipelines Contribute to
portfolio-level analytics , helping prioritize targets based on statistical evidence, biological plausibility, and translational potential Support
statistical planning
for in vitro and in vivo studies, including power calculations, randomization schemes, and reproducibility assessments Develop
scoring systems and prioritization frameworks
for ranking therapeutic targets using multi-dimensional data inputs Ensure statistical rigor in the interpretation of experimental results, guiding go/no-go decisions and milestone reviews Minimum Qualifications
PhD in
Biostatistics, Statistics, Applied Mathematics , or a related quantitative field with 3+ years of postdoctoral or industry experience; or MS with 7+ years of relevant experience Strong foundation in statistical theory, including probability, inference, regression, and multivariate analysis Experience applying statistical methods to biological or biomedical datasets, including genomics, transcriptomics, or clinical data relevant to
cardiometabolic/neurodegenerative disorders Proficiency in statistical programming languages (e.g., R, Python) and familiarity with statistical computing environments Demonstrated ability to develop and validate statistical models and algorithms for complex, high-dimensional data Commitment to reproducible research and collaborative problem-solving Excellent communication skills, with the ability to explain statistical concepts to non-statistical audiences Preferred Qualifications
Expertise in
Bayesian statistics , hierarchical modeling, and probabilistic graphical models Experience with
longitudinal data analysis , survival analysis, and time-to-event modeling in clinical or biomedical contexts relevant to
cardiometabolic/neurodegenerative disorders Familiarity with
causal inference frameworks , such as propensity score methods, instrumental variables, or structural equation modeling Knowledge of
experimental design , including randomized trials, adaptive designs, and observational study methodologies Experience with
dimension reduction techniques
(e.g., factor analysis, t-SNE, UMAP) and
high-dimensional inference Exposure to
functional data analysis , spatial statistics, or statistical methods for imaging data Familiarity with
meta-analysis , statistical harmonization, and federated data analysis across cohorts Experience with
statistical consulting or collaboration
in multidisciplinary teams, especially in biomedical or pharmaceutical settings Knowledge of
regulatory standards
and statistical considerations in drug development (e.g., FDA guidelines, ICH E9/E10) Experience with
statistical software development , package creation in R/Python, or contributions to open-source statistical tools Familiarity with
cloud-based statistical workflows
and scalable computing (e.g., parallel processing, distributed computing frameworks) Experience in
preclinical biostatistics , including statistical design and analysis of in vitro and in vivo studies Familiarity with
dose-response modeling , pharmacokinetic/pharmacodynamic (PK/PD) modeling, and biomarker evaluation Knowledge of
target validation pipelines , including CRISPR screens, RNAi, and functional genomics Exposure to
portfolio analytics
and decision-support tools used in early drug discovery Understanding of
statistical considerations in translational research , including bridging preclinical and clinical data Experience with
model-based prioritization frameworks , such as multi-criteria decision analysis (MCDA) or machine learning-based scoring systems Ability to communicate statistical findings in the context of
biological relevance and therapeutic strategy 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 the resiliency and sustainability of agriculture, and more. 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-MB1 The salary range for this role is $146,000 - $236,500. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. ProFound Therapeutics, Inc. currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on ProFound Therapeutics, Inc.'s good faith estimate as of the date of publication and may be modified in the future.
#J-18808-Ljbffr