We seek a person to manage our small team of ecologists/computer scientists/statisticians and improve our tools for monitoring rare and elusive species around the world. Conservation Metrics specializes in automated wildlife surveys, an approach that allows our clients to increase the scale of wildlife surveys, improve the rigor of monitoring projects, and reduce costs and logistical constraints. Projects include Before/After Control/Impact studies to quantify and compare the effectiveness of conservation actions, monitoring projects to estimate long-term population trends, surveys to quantify impacts to wildlife, and expeditions to search for data deficient species. The Science Team Manager will report to the President of CMI, and will manage a growing multidisciplinary team. The position marries cutting edge technology (sensor hardware, Big Data analytics, machine learning, and outcomes based conservation) with important research questions about fascinating species and ecosystems. Scope 1. Manages the Science team to detect species of interest on data-streams, analyze results, manage quality control and quality assurance process, produce summary reports, and draft and edit final reports. 2. Assists clients with designing, planning and implementing CMI's monitoring projects. 3. Refines and develops statistical approaches to best address project goals and leverage new technology. 4. Provides expert interpretation of analysis results in relation to the ecological questions for each project. 5. Represents CMI to customers, foundations, government and the public. 6. Tracks project expenses in coordination with CMI's VP of Business Operations utilizing Liquid Planner Management Software. 7. Oversees data management procedures including meta-data management, data storage and back-up, and hardware maintenance. 8. Participates in recruitment and hiring process for projects requiring additional staff. 9. Coordinates with staff and outside consultants on Research and Development projects to develop new analysis techniques, statistical approaches, and sensor technology. Qualifications . 3-5 years of experience in ecological research, wildlife survey design, restoration, and/or wildlife monitoring projects. . Extensive background with script-based languages and statistical programs for reproducible research [R (required), Matlab (desired), Python (desired)]. . PhD in Biology, Ecology, Wildlife Science, or Computer Scientist with biological interests/experience preferred. Candidates with a Masters Degree and solid record of relevant work experience also considered. . Strong background in quantitative analysis. Bayesian approaches a plus. . Experience working with data-streams from passive sensors (acoustic, visual, or other), including sensor deployment, processing, and data management. . Ability to/Interest in learning new analysis techniques, and curiosity and skills to refine and improve evolving workflow and software projects. . Excellent written and spoken English language skills. Fluency in other languages a plus (we have projects around the world). . Excellent management and organizational skill, ability to work independently, ability to solve problems with limited supervision, and the ability to prioritize and meet deadlines. . Valid Driver's License. . U. S. Passport. Job Category Full time Positions website http://conservationmetrics.com/ Salary CMI offers a salary that is competitive in our sector. Compensation will be commensurate with experience and includes an employee benefits package. Start Date 09/08/2015 Contact Person Matthew McKown Contact Phone 831-427-7969 Contact eMail <mailto:ScienceTeamManager@conservationmetrics.com> ScienceTeamManager@conservationmetrics.com Cheers, Alexis Diana Earl Analyst Conservation Metrics, Inc. 100 Shaffer Rd Santa Cruz, CA 95060 Tel: 831-427-7969 Mobile: 213-448-0708 <mailto:alexis@conservationmetrics.com> alexis@conservationmetrics.com <http://www.conservationmetrics.com> www.conservationmetrics.com