Scientist, Statistics and Data Analytics

This position will expand statistical capabilities of a small group of computational / data scientists providing data analysis, modeling and interpretation support to a broad range of programs across the organization. You will be a key contributor of statistical expertise, guidance, training and support to the project teams characterizing complex biological systems by multiple high content analytical technologies at the interface of analytical chemistry and biology (e.g. gene expression, proteomics, flow cytometry, HPLC, mass spectrometry, etc.) under a variety of experimental paradigms. You must possess deep expertise in state-of-art statistical theories and practices and have practical experience in adopting them to achieve actionable insights and conclusions that pave path forward for the projects in a statistically sound way. You will identify gaps in the existing statistical capabilities and take initiative in filling these needs. You will work in close collaboration with bench scientists to increase statistical rigor in experiment design and effectively communicate the results of statistical analyses to project teams and program leadership. This will provide highly impactful opportunities to instill statistical rigor in interpretation of the experimental results and effective translation of data analysis results to facilitate decision making at all stages of our biopharmaceutical R&D pipeline. You will co-author and review technical chapters in technical reports, regulatory communications, manuscripts and publications that will be conducted with commitment to the best practices in reproducible research, integrity of the analysis results and documentation of the work. You will communicate with external collaborators, staying up to date with new developments in the field.

Company :

Momenta Pharmaceuticals

Qualifications : Required Skills

Experience in identifying and applying diverse data analysis techniques, such as (non)linear regression, statistical inference, multivariate methods, (un)supervised methods, Monte-Carlo simulation, resampling, machine learning, etc. as required by the project goals

Excellent oral and written communication skills, ability to effectively explain key aspects of complex statistical approaches to cross-functional audience

Solid problem solving and analytical abilities; strong interpersonal skills and fluency in cross-disciplinary communications

Ability to handle multiple projects with demanding timelines and shifting priorities

Fluency with R is highly desired, but can be substituted with previous experience in statistical programming framework (e.g. S+ / Matlab / SAS) combined with ability and motivation to learn new programming environment

Experience in software programming in one or several languages (e.g. C++ / Java / Perl / Python) is a plus

Familiarity with power analysis, DOE, QbD and SPC is a plus

Experience with biopharma R&D is a plus

Required Experience

BS in statistics / applied math / biostatistics or other relevant quantitative discipline and 5+ years of experience, MS and 3+ years of experience, PhD with some postdoctoral experience preferred

Solid understanding of modern applied statistics and experience in using statistical methodology and analysis tools to solve variety of complex problems

Demonstrated ability to independently conduct complex statistical analyses of large heterogeneous datasets

Educational level : Bachelors Degree

Level of experience (years) :

Mid Career (2+ years of experience)

How to apply :

Please mention NLP People as a source when applying

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Tagged as : Bachelors Degree, Data Analysis, Data Mining, Industry, Machine Learning, Tagging, United States

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