Senior Scientist, Biostatistics #4792
Job Description
Lead the statistical design, analysis, and interpretation of experiments and studies supporting assay development, validation, and product performance evaluation.
Develop and implement computational and statistical models, data analysis algorithms, and quantitative tools to support research, development, and operational projects. Conduct and communicate complex statistical analyses using appropriate methodologies such as regression, mixed models, nonparametric tests, multivariate methods, and subsampling techniques.
Partner with assay scientists and data engineers to ensure appropriate experimental design and data integrity. Provide statistical input into study protocols, reports, and regulatory submission documents.
Contribute to the development of best practices and standard operating procedures for statistical analyses. Mentor junior scientists and review statistical work to ensure technical accuracy and scientific soundness. Stay current with emerging statistical methodologies, regulatory expectations, and data science innovations.
Demonstrates success in technical proficiency, creativity, collaboration with others and independent thought. Demonstrates ability to work and communicate effectively in a multi-disciplinary study team
Advanced degree (PhD or Master’s) in Statistics, Biostatistics, Bioinformatics, Applied Mathematics, or a related quantitative field.
4+ years of post-PhD or 7+ years of post-MS applying statistical and computational methods, preferably in biotechnology, pharmaceuticals, or diagnostics settings.
Strong knowledge of statistical methodologies such as experimental design, regression, fundamental probability and statistics, Bayesian methods, and multivariate techniques.
Proficiency in statistical programming R. Python is a plus.
Experience with data visualization tools.
Excellent communication skills with the ability to translate complex statistical concepts for non-technical stakeholders.
Proven ability to lead projects independently. Strong problem-solving skills, attention to detail, and ability to manage multiple projects simultaneously.
Experience with assay development, assay performance evaluation, or regulatory submissions is a plus.
Lead the statistical design, analysis, and interpretation of experiments and studies supporting assay development, validation, and product performance evaluation.
Develop and implement computational and statistical models, data analysis algorithms, and quantitative tools to support research, development, and operational projects. Conduct and communicate complex statistical analyses using appropriate methodologies such as regression, mixed models, nonparametric tests, multivariate methods, and subsampling techniques.
Partner with assay scientists and data engineers to ensure appropriate experimental design and data integrity. Provide statistical input into study protocols, reports, and regulatory submission documents.
Contribute to the development of best practices and standard operating procedures for statistical analyses. Mentor junior scientists and review statistical work to ensure technical accuracy and scientific soundness. Stay current with emerging statistical methodologies, regulatory expectations, and data science innovations.
Demonstrates success in technical proficiency, creativity, collaboration with others and independent thought. Demonstrates ability to work and communicate effectively in a multi-disciplinary study team
Advanced degree (PhD or Master’s) in Statistics, Biostatistics, Bioinformatics, Applied Mathematics, or a related quantitative field.
4+ years of post-PhD or 7+ years of post-MS applying statistical and computational methods, preferably in biotechnology, pharmaceuticals, or diagnostics settings.
Strong knowledge of statistical methodologies such as experimental design, regression, fundamental probability and statistics, Bayesian methods, and multivariate techniques.
Proficiency in statistical programming R. Python is a plus.
Experience with data visualization tools.
Excellent communication skills with the ability to translate complex statistical concepts for non-technical stakeholders.
Proven ability to lead projects independently. Strong problem-solving skills, attention to detail, and ability to manage multiple projects simultaneously.
Experience with assay development, assay performance evaluation, or regulatory submissions is a plus.
The expected, full-time, annual base pay scale for this position is $156K-$187K.
This role may be eligible for other forms of compensation, including an annual bonus and/or incentives, subject to the terms of the applicable plans and Company discretion. This range reflects a good-faith estimate of the range that the Company reasonably expects to pay for the position upon hire; the actual compensation offered may vary depending on factors such as the candidate’s qualifications. Employees in this role are also eligible for GRAIL’s comprehensive and competitive benefits package, offered in accordance with our applicable plans and policies. This package currently includes flexible time-off or vacation; a 401(k) retirement plan with employer match; medical, dental, and vision coverage; and carefully selected mindfulness programs.
GRAIL is an equal employment opportunity employer, and we are committed to building a workplace where every individual can thrive, contribute, and grow. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, disability, status as a protected veteran, , or any other class or characteristic protected by applicable federal, state, and local laws. Additionally, GRAIL will consider for employment qualified applicants with arrest and conviction records in a manner consistent with applicable law and provide reasonable accommodations to qualified individuals with disabilities. Please contact us atrc@grailbio.comif you require an accommodation to apply for an open position.
GRAIL maintains a drug-free workplace. We welcome job-seekers from all backgrounds to join us!
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