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advanced statistical methods. Experience working in a multi-disciplinary setting and/or teams. Experience with Microsoft Suite products and working knowledge of at least one statistical software (E.g. SAS
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more research experience before potentially pursuing a PhD or other nonprofit or education-related work. Interested candidates should include a resume or CV and a cover letter. The cover letter should
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, wearables such as Actigraph data analyses), formal supervision and mentoring of lab members at earlier career stages on independent research projects, grant writing, leading independent research and
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methods and software for the analysis and calibration using very large data sets resulting from dynamical simulations on high-performance computing resources. Application areas include : 1. Epidemiology, 2
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develop new modeling methods and new models; they will apply those models to simulate neural responses and design new therapies. The applicant will also gain exposure to other projects in the lab, spanning
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assigned. Required Qualifications PhD in engineering, physics, mathematics or other related applied sciences. Five years of experience in theoretical and numerical evaluation of finite element methods
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disparities for communities and populations. Candidates will receive mentorship and training in precision health, including advanced statistical methods focused on predictive modeling in relation to response
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on research projects. Purpose In this role, the Biostatistician will collaborate closely with a PhD-level statistician and senior research leaders to co-develop a new statistical consulting service
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preparation, including writing methods sections, refining figures, and performing statistical analyses Piloting new techniques and assays before implementation in broader lab projects Monitoring relevant
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. Qualifications Minimum Education and Experience PhD (or relevant terminal degree), or a relevant Master’s degree with at least 5 years of formal post-degree professional work experience Other Required