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DESCRIPTION/RESPONSIBILITIES:
Do you have a background in risk assessment, toxicology, and statistics, and enjoy multidisciplinary collaborations with your colleagues to solve complex problems? Would you enjoy conducting applied research in a fast-paced environment that offers a wide range of technical challenges? Are you interested in working for a company that values dedication in the workplace, promotes learning and professional development, and appreciates the importance of work-life balance? 

Applied Research Associates, Inc. is seeking a Staff Statistician to support multiple programs in the Health, Environment, Analytics, Risk, and Technology (HEART) Directorate at ARA, specifically, with the US EPA, the US FDA, and the Defense Threat Reduction Agency. If this sounds like your next job, we would like to talk with you about joining the Health, Environment, Analytics, Risk, and Technology (HEART) Directorate at ARA.

The successful individual will provide technical leadership in the review/application development of frequentist and/or Bayesian techniques to toxicological data sets, typically within the context of acute or chronic health risk assessments. Applications include characterizing the probability of adverse physiological effects due to exposure to chemical constituents in tobacco products, pharmaceuticals, and toxic industrial chemicals/chemical weapons. Familiarity with human physiology, toxicological study design/execution/analysis, and epidemiological study data is highly desirable. The ideal candidate will have an advanced degree in statistics and demonstrated experience in supporting human health risk assessments by deriving scientifically defensible dose-response functions. This position offers significant growth potential through multiple tracks, including business development with current and future clients, technical leadership in statistical analysis of toxicity and physiological data, and project/program management.

What you’ll do as an Staff Statistician:
    * Work with multidisciplinary project teams to interpret toxicological data within the context of human health risk assessments
    * Provide technical leadership in the ongoing development of benchmark dose software, as well as the investigation of a wide range of issues involving the statistical interpretation of toxicological and epidemiological study data
    * Contribute to the development of methods to characterize the probability of cancer and non-cancer effects associated with exposure to chemical contaminants
    * As appropriate, work with software developers/engineers in developing custom software packages that meet client-specified requirements

Staff Statistician Requirements:
    * Must be able to obtain a U.S. government security clearance, which includes U.S. citizenship
    * Bachelor's Degree in a related discipline, e.g., applied statistics, data science, toxicology/pharmacology, human biology along with 5-7 years of relevant work experience
    * Minimum of three years experience in relevant scientific research, ideally, as it relates to human health risk assessment
    * Demonstrated experience in the application of statistical methods to toxicological data sets, including both frequentist and Bayesian techniques
    * Experience in using scripting languages such as Python, R, or MATLAB
    * Well-developed research/writing skills, as evidenced by technical writing
    * Ability to work collaboratively with a research team, or to work independently with little supervision
    * Familiarity with Microsoft Office products, e.g., Word, Excel, and PowerPoint

Staff Statistician Preferences:
    * An advanced degree in a related discipline is strongly preferred
    * Strong background in Bayesian techniques is strongly preferred
    * Direct experience in using STAN for Bayesian statistical analysis is preferred
    * Knowledge of computer science/application development
    * Training/experience in one or more of the following areas is desirable
         + Human biology/physiology
         + Pharmacokinetics/pharmacodynamics
    * Strong interest and/or experience in data science, especially Machine Learning
    * Experience with Jupyter Notebook is desirable
    * Active DoD security clearance is a plus

Anticipated salary range: $120,000 - $140,000. Offer may vary depending on experience and skill set.

About Us:

Applied Research Associates, Inc. (aka ARA) is an employee-owned international research and engineering company known for providing technically superior solutions to complex and challenging problems in the physical sciences. We were founded in Albuquerque, NM in 1979 as the disco era was, thankfully, closing out and the personal computer era was beginning. We employ over 1,500 professionals and continue to grow. ARA offices throughout the U.S. and Canada provide a broad range of technical expertise in defense, civil, and health technologies, computer software, and simulation, systems analysis, environmental technologies, and testing and measurement.

ARA also prides ourselves on having a challenging culture where innovation & experimentation are the norm. At ARA, employees are our greatest assets, so we give our employees the tools, training, and opportunities to take active roles as owners. The motto, “Engineering and Science for Fun and Profit” sums up the ARA experience. The company realizes employee ownership spawns greater creativity and initiative along with higher performance and customer satisfaction levels. We are also very proud of our Women’s Initiative Network (WIN) whose purpose is to motivate, support, and encourage professional career development for women to maximize career and professional accomplishments.

To find out more about Algorithms, Modeling & Assessments Division visit our website at: https://www.ara.com/raleigh/

   Experience

Required
    * 5 - 7 years: Relevant Work Experience

   Education

Required
    * Bachelors or better in Applied Statistics or related field

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)