REMOTE Senior Statistician

Apex Systems, the Nation's 2 nd largest Technical Staffing and Services Firm, has an opening for a Senior Statistician for a large agricscience company that can sit anywhere in the US for a 6 month contract to hire. If you are interested in this role, please email your resume and availability for a phone conversation to Jordan Christman, Technical Recruiter at Senior Statistician Job overview:

• The successful candidate will join a strong, globally distributed Data Science team that develops and applies innovative methods and tools to deliver insights for R&D. The candidate will partner with senior scientists and leaders to lead, shape, and deliver advanced analytics solutions that have direct impact on our Crop Protection R&D. The position can be remote with occasional travel to Indianapolis, IN.
• The candidate must have broad knowledge in statistics including familiarity with machine learning, leadership, and creativity to invent and deliver novel data science solutions to enable data-driven decisions in a R&D setting. Preference will be given to candidates with familiarity in biotechnology.

• Partner with senior scientists to understand needs, formulate hypothesis, and design statistically sound experiments to solve complex R&D problems
• Implement and deliver rigorous statistical solutions aligned to project needs
• Lead and mange projects; guide team members/junior scientists to ensure scientific rigor in projects under your purview
• Communicate insights derived from complex data analysis into simple conclusions that empower leadership to drive action
• Work with leadership to develop and execute long-term advanced analytics strategies

• Ph.D. degree in Statistics, Applied Statistics, Biostatistics, Quantitative Genetics or related highly quantitative fields, and 5+ years of relevant experience.

• Proven ability to independently translate scientific needs into statistical problems by asking right questions, and delivering solutions by identifying necessary data, building models, and producing actionable results.
• In-depth expertise designing factorial experiments (completely randomized designs, randomized complete block designs, etc.)
• Extensive experience analyzing designed experiments and observational datasets (e.g. linear fixed effects and mixed effects models, generalized linear models, regression analysis, non-linear models)
• Familiarity with machine learning methodologies (e.g. decision trees, neural networks, SVM, unsupervised learning)
• Experience initiating, developing, and leading data science projects/efforts with multiple data scientists
• 5+ years of programming experience with at least one scientific programming