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Flagship Pioneering · 2 months ago

Senior/Principal Scientist, Biostatistics & Computational Biology

Boston, MA USA

Full-time

Onsite

Senior Level, Lead/Staff

$146K/yr - $236K/yr

3+ years exp

ProFound Therapeutics is an early-stage biotechnology company focused on redefining human therapeutics. They are seeking a Senior Scientist/Principal Scientist in Biostatistics & Computational Biology to advance their ProFoundry™ Platform by developing statistical models and analytical pipelines for complex biological data related to cardiometabolic and neurodegenerative disorders.

FinanceFinancial ServicesVenture Capital

H1B Sponsor Likely

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

Qualification

BiostatisticsStatistical modelingQuantitative data analysisStatistical programming RStatistical programming PythonBayesian statisticsLongitudinal data analysisCausal inference frameworksExperimental designDimension reduction techniquesCollaborative problem-solvingCommitment to reproducible researchCommunication skills

Required

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

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

Benefits

Healthcare coverage

Annual incentive program

Retirement benefits

A broad range of other benefits

Company

Flagship Pioneering

Glassdoor3.3

Flagship Pioneering is a venture capital firm that invests in life sciences and healthcare companies.

Founded in 2000

Cambridge, Massachusetts, USA

501-1000 employees

http://flagshippioneering.com

H1B Sponsorship

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2025 (8)

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2023 (4)

2022 (4)

2021 (1)