Support complex modeling, research, and analytical initiatives for federal financial services clients, combining statistical and econometric modeling expertise with strong SAS programming skills.
Compensation
The annual salary range for this position is $130,000.00-$216,000.00.
Responsibilities
Develop, maintain, and enhance statistical, econometric, financial, and cash-flow models used to analyze complex financial assets and portfolios
Apply statistical and econometric techniques, including ordinary least squares, logistic regression, survival analysis, time-series analysis, and other predictive or behavioral modeling methods
Develop, review, troubleshoot, and maintain SAS code supporting production and research modeling processes
Collect, clean, transform, reconcile, validate, and integrate large datasets from multiple sources
Conduct model runs, scenario and sensitivity analyses, and quantitative research
Requirements
Bachelor's degree in economics, finance, statistics, mathematics, data science, computer science, engineering, or another quantitative field
Nice to have: Python
Nice to have: R
Nice to have: Mortgage modeling
Nice to have: Familiarity with U.S. housing finance and secondary mortgage markets
Interns will work closely with senior-level statisticians on statistical methodology and/or application topics related to the design and analysis of clinical trials and/or nonclinical research on a variety of therapeutic areas.
Perform data analysis and simulations to demonstrate utility or research
Present project work to internal and external stakeholders
Write summary reports
Requirements
Master’s or doctorate in statistics, biostatistics, applied mathematics, or data sciences (with at least one year of coursework and thesis/dissertation work)
The Principal Statistician - MCRS supports clinical research studies through statistical design, analysis, interpretation, and reporting of clinical data.
Compensation
Salary ranges for U.S (excl. PR) locations (USD):$146,400.00 - $219,600.00
Responsibilities
Designs, plans and executes biostatistical components of plans for research and development projects that establish the conditions essential for determining safety, efficacy, and marketability of pharmaceutical and/or biological products.
Uses sound statistical methodology to conduct studies relating to the life cycle of the product.
In development-phase projects, prepares the statistical component of protocols which meet project objectives, health authority guidelines, and clinical trial methodology standards.
Develops and/or applies statistical theories, methods, and software.
Summarizes and interprets data into tabular and graphical formats amenable to principles of statistical inference and is responsible for the statistical component of reports describing studies, outcomes and methods used.
Interns will work closely with senior-level statisticians on statistical methodology and/or application topics related to the design and analysis of clinical trials and/or nonclinical research on a variety of therapeutic areas.
Perform data analysis and simulations to demonstrate utility or research
Present project work to internal and external stakeholders
Write summary reports
Requirements
Master’s or doctorate in statistics, biostatistics, applied mathematics, or data sciences (with at least one year of coursework and thesis/dissertation work)
Build and lead the biostatistics function, owning statistical strategy across regulatory submissions and clinical validation programs.
Compensation
The expected base salary range for this role is 180,000-210,000 reflecting a good faith estimate. Actual compensation may vary based on experience, qualifications, and other job-related factors. This role is also eligible for equity and 401(k) with company match.
Responsibilities
Own study design and Statistical Analysis Plans across the portfolio, including pivotal regulatory submissions
Develop analytical and clinical validation strategies for novel biomarker technologies
Serve as the statistical authority in FDA interactions
Drive prognostic and predictive signature development on our platform representations
Help shape how evidence is generated and communicated across publications and clinical strategy
Senior Biostatistician to provide statistical design, analysis, and interpretation support for surgical clinical trials, outcomes research, quality improvement studies, and translational and health services research.
Compensation
$100,000.00 - $140,000.00
Responsibilities
Consult with investigators on study design, hypothesis development, endpoint selection, and sample size and power calculations.
Write statistical sections of grant proposals (NIH, PCORI, AHRQ, DoD, foundation, and industry).
Contribute to protocol development, statistical analysis plans (SAPs), and IRB submissions.
Provide input on randomization schemes, adaptive designs, and pragmatic and stepped-wedge trial designs.
Perform statistical analyses for prospective and retrospective studies using regression modeling, survival analysis, mixed-effects and longitudinal models, propensity score methods, and causal inference approaches.
Requirements
College or university degree in related field
Master's degree in Biostatistics, Statistics, Epidemiology, or a closely related quantitative field
As a Data Scientist III, you will be a strong individual contributor embedded in the Clinical Development analytics function. You will design and build sophisticated ML and AI solutions, conduct rigorous statistical analyses on clinical datasets, and collaborate closely with clinical, medical, and operational stakeholders to translate complex data into actionable insights.
Responsibilities
Design, develop, and deploy predictive modeling and data science solutions — including regression, clustering, survival analysis, time series forecasting, and Monte Carlo simulation — to address clinical development challenges.
Conduct rigorous statistical investigations and exploratory data analysis across clinical datasets including trial data, EHR/EMR, and real-world evidence (RWE).
Translate moderately ambiguous scientific or operational problems into structured, hypothesis-driven analytical frameworks spanning study feasibility, trial execution, and patient analytics.
Build and maintain data and analytics pipelines — contributing to pipeline design decisions and ensuring computational efficiency within established architectural patterns.
Partner with senior data scientists and engineering teams on data quality, pipeline reliability, and scalability improvements.
Requirements
Bachelor's, Master's, or Ph.D. in Data Science, Statistics, Biostatistics, Computer Science, or a related discipline
As a Data Scientist III, you will be a strong individual contributor embedded in the Clinical Development analytics function. You will design and build sophisticated ML and AI solutions, conduct rigorous statistical analyses on clinical datasets, and collaborate closely with clinical, medical, and operational stakeholders to translate complex data into actionable insights.
Responsibilities
Design, develop, and deploy predictive modeling and data science solutions — including regression, clustering, survival analysis, time series forecasting, and Monte Carlo simulation — to address clinical development challenges.
Conduct rigorous statistical investigations and exploratory data analysis across clinical datasets including trial data, EHR/EMR, and real-world evidence (RWE).
Translate moderately ambiguous scientific or operational problems into structured, hypothesis-driven analytical frameworks spanning study feasibility, trial execution, and patient analytics.
Build and maintain data and analytics pipelines — contributing to pipeline design decisions and ensuring computational efficiency within established architectural patterns.
Partner with senior data scientists and engineering teams on data quality, pipeline reliability, and scalability improvements.
Requirements
Bachelor's, Master's, or Ph.D. in Data Science, Statistics, Biostatistics, Computer Science, or a related discipline
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