 |
 |
Researcher in Biostatistics The Eli Lilly & Company Limited UK Division aims to discover novel medicines through a relentless focus on innovation to develop solutions to unmet needs. We focus on neurodegenerative diseases and pain treatments. We are looking for a highly qualified statistician to support a wide variety of projects in the discovery portfolio in collaboration with biologists, chemists and other scientists and colleagues. Good oral and written communication skills are required, along with good teamwork, leadership and self-management skills. Also essential is the strong desire and ability to take the initiative, be proactive, educate and communicate the value of good statistical practices and concepts to a variety of scientists. Expertise in SAS, JMP or R. Familiarity with other packages such as GraphPad/Prism, Sigma/Plot is a plus. Job Responsibilities: * Support a wide variety of projects in the discovery portfolio in collaboration with the in-vitro and in-vivo biologists, and other scientists on assay design, optimization, validation and data analysis. * Educate the scientists on various statistical concepts and the use of software such as JMP for experimental design and data analysis. * Become familiar with target and disease states, assay platforms, molecular biology, in-vitro and in-vivo pharmacology, pharmacokinetics, biopharmaceutics and other application areas of focus. * Develop/adapt/implement novel statistical methodology. * Stay current with literature on statistical methodology, maintain proficiency in applying new and varied methods, and be competent in justifying methods selected. * Co-author with scientists and statisticians on presentations and publications. Requirements: * Ph.D. in statistics or M.S. in statistics with at least five years of industry experience (preferably pharmaceutical experience) * Good theoretical and applied background in the following topics: o ANOVA & regression methods including linear and nonlinear models o Mixed-effects models o Experimental Design (parallel group, cross-over designs, randomization, blocking and stratification, sample size & power calculations for animal studies, etc.) * Good understanding of some of the following topics: o Familiarity with time series analysis methodology including spectral analysis and methods for multivariate time series. o Statistical analysis of genetic data (SNP, haplotype, NextGen sequencing, etc.), genomic/microarray data and concepts of multiplicity o Multivariate analysis and optimization methods o Visualization methods o Bayesian methods and analysis o Predictive modeling and machine learning * Background or formal education in topics such as molecular biology, physiology, chemistry, computer science will be a plus * Good working knowledge of either SAS, JMP, or R * Some familiarity with other software/languages such as MatLab, KNIME, C++, Java, etc. would be a plus * Good communication skills and self-management skills * Strong teamwork and leadership skills To apply please visit: https://xjobs.brassring.com/tgwebhost/jobdetails.aspx?PartnerId=25428&SiteId=5654&Areq=24247BR&Codes=IMB Should you wish to get in touch with the Staffing Team at Lilly, please contact me Chloe Nash Recruitment Manager, HR Lilly UK / Elanco UK Priestley Road, Basingstoke, Hants, RG24 9NL +44 (0)1256 775716 (office) | +44 (0)7703889932 (mobile) [log in to unmask]<mailto:[log in to unmask]> | www.lilly.com<http://www.lilly.com/> CONFIDENTIALITY NOTICE: This email message (including all attachments) is for the sole use of the intended recipient(s) and may contain confidential information. Any unauthorized review, use, disclosure, copying or distribution is strictly prohibited. If you are not the intended recipient, please contact the sender by reply email and destroy all copies of the original message. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank.