Statistician - Discovery and Exploratory Statistics (m/w/d) - (unbefristet / Vollzeit)

☞ AbbVie

Ver: 166

Día de actualización: 24-10-2024

Ubicación: Ludwigshafen am Rhein Rhineland-Palatinate

Categoría: R & D IT - Software

Industria: Pharmaceuticals Biotechnology

Tipo de empleo: Full-time

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Contenido de trabajo

About AbbVie

AbbVie’s mission is to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas: immunology, oncology, neuroscience, eye care, virology, women’s health and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn.

Purpose
  • Provide statistical consulting and computing support for projects in drug discovery, target identification/verification, pre- clinical and clinical biomarker research (genomics, imaging, etc.), and PK and immunogenicity assays used in pre-clinical and clinical studies.
Major Job Responsibilities
  • Statistical collaborations and consultations on some or all of the following applications: personalized medicine, subgroup identification, in-vitro and in-vivo biology/pharmacology assays, genomics (high throughput gene expression arrays, CGH arrays, next generation sequencing, microRNA, etc.), proteomics, imaging, and other biomarker data generated from pre-clinical and clinical studies, design of biomarker-based clinical trials for personalized therapies, and general methodological research on related topics.
  • Develop and maintain good working relationships with statisticians, discovery and clinical scientists, and personnel from other areas within the company and also with scientists from external institutions when communicating/ collaborating on various projects.
  • Maintain and develop further expertise in the use of R, SAS, Python, UNIX utilities, and other programs, and continue development of such utilities/ macros to improve process flow, as well as maintaining appropriate documentation.
  • Consult/ collaborate with other statisticians on various statistical methodologies and statistical computing applications. Proactively seek input and review from other experts within and outside the group on various projects and research activities, and share technical information when appropriate.
  • Propose opportunities for productivity improvements and implementation plans.
Qualifications

Qualifications:
  • MS or PhD in Statistics, Biostatistics, or a highly related field, with some applied consulting or research experience on topics related to pharmaceutical research, biomarkers, and genomics and predictive modeling.
  • Expertise in statistical methodologies such as experimental design, nonlinear regression, mixed effects models, multivariate analysis, robust statistics, adaptive designs, high dimensional data from different sources, overfitting and multiple testing control methods, cross-validation and random resampling techniques, immunogenicity assay validation, machine learning and predictive modeling methods.
  • Relevant academic/industry experience on topics related to drug discovery, genomics and other applications mentioned above
  • Strong computing skills in R, SAS and other programming languages.
  • Written and spoken fluency in English.
Travel

Yes, 10 % of the Time

Job Type

Experienced

Schedule

Full-time

Job Level Code

IC

Equal Employment Opportunity

At AbbVie, we value bringing together individuals from diverse backgrounds to develop new and innovative solutions for patients. As an equal opportunity employer we do not discriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information gender identity or expression, sexual orientation, marital status, protected veteran status, or any other legally protected characteristic.
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Plazo: 08-12-2024

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