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Computational Biologist at Applied Research Associates, Inc

Posted in Science 30+ days ago.

This job brought to you by eQuest

Type: Full-Time
Location: Arlington, Virginia





Job Description:

Applied Research Associates, Inc. is seeking a Computational Biologist to further our capabilities and use of machine learning techniques and other computational methods to predict outcomes across a wide range of technical problems. The types of problems include predicting health effects following exposure to hazardous materials (e.g., chemical, biological), characterizing dependencies and outcomes for critical infrastructures, and the conducting analyses of biological data sets to derive new insights. We are seeking an individual with a background in computational biology that has demonstrated experience in the development and application of machine learning techniques to solve biological problems. The successful candidate should have the ability to apply these types of techniques to construct, optimize, and evaluate critical infrastructure networks, identifying dependencies and probability of failure at different nodes. Knowledge of deep learning tools (such as TensorFlow, Keras, or PyTorch) to train a variety of neural network architectures is desired. The ideal candidate will have a strong background in biology and mathematics, and demonstrated skills in the developing and use of machine learning techniques.  This individual should understand the relationship between model fidelity and application (i.e., fit for purpose), and appreciate the complexity inherent in modeling biological systems. In addition, the candidate should have experience using scripting languages in mathematical software (e.g., MATLAB) and/or open source options for prototyping models.


What you’ll do as a Computational Biologist



  • Work with multidisciplinary project teams to develop mathematical models suitable for predicting outcomes to health and infrastructure

  • Use cutting-edge techniques to analyze complex biological data sets to develop insights into the strength of specific biological indicators

  • Develop prototype mathematical models, and work with our software development team to produce scientific software for our customers

  • Recommend and apply approaches in sensitivity analysis and uncertainty characterization for the models that we develop

  • Work collaboratively with technical staff in Arlington Division to:

    • Translate the biology per subject matter experts (e.g. respiratory mechanics, radiation physics) into mathematical models

    • Develop and test prototype models in a scripting language (e.g., MATLAB), and document rationale, approach, and pseudocode

    • Document the models in technical reports

    • Participate in the verification and validation of models, from developing test plans to documenting result

Computational Biologist Requirements



  • Bachelor’s degree in a related discipline, e.g. applied mathematics, computational biology, engineering, or physics

  • Two to four years of relevant scientific research in computational biology, or enrollment in an accredited PhD program

  • Strong quantitative background that includes statistics, data science, and/or numerical methods

  • Significant experience in R, including the use of graphing tools to visualize results in R (or R Shiny)

  • Some experience programming in Java or Python

  • Demonstrated 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

  • Must be able to obtain a U.S. government security clearance, which includes U.S. citizenship

Preferences



  • Knowledgeable/experience in several of the following areas is strongly preferred

    • Human physiology 

    • Cellular biology

    • Statistics

    • Predictive Analytics


  • Experience with GIT, SVN, JIRA or other version control technologies is preferred

  • Some familiarity with object-oriented languages such as Java or C++ is a plus

  • Active DoD security clearance is desirable

 

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.

See job description