Scientist

(ID: 2024-8502)

Axle Informatics is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations around the globe. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).

Benefits:

  • 100% Medical, Dental & Vision Coverage for Employees
  • Paid Time Off (Including Holidays)
  • Employee Referral Bonus
  • 401K Match
  • Tuition reimbursement and professional development opportunities
  • Flexible Spending Accounts:
    • Healthcare (FSA)
    • Parking Reimbursement Account (PRK)
    • Dependent Care Assistant Program (DCAP)
    • Transportation Reimbursement Account (TRN)

Overview

Axle is looking to add a driven, flexible, organized, and meticulous Scientist to our dynamic team. The Contractor(s) shall provide services in support of the overall functions of the Office of Biostatistics Research (OBR), Division of Clinical Research (DCR).

 

Technical Requirements: 

 

  • Perform complex statistical and mathematical analyses of critical, long-term resource requirements for various scenarios, options, and resource levels.

  • Develop analytical methodology and devise models to compare and evaluate various options and forecast the likely outcomes of each alternative.

  • Gather and determine the validity of data, identifies variables, assesses their interrelationships, and evaluates their utility in developing and executing long-range strategic plans.

  • Evaluate all options, quantify expected outcomes, and verify study results and conclusions.

  • Present study results, findings, conclusions, options, and recommendations to senior management.

  • Investigate and adapt new analytical methods, approaches, and strategies using a wide range of statistical techniques such as linear programming, multiple regression, probability, sensitivity analysis, and learning curves.

  • Conduct studies to research and analyze data to be used in providing responses to urgent questions from the leadership or senior staff of the Congress, the White House, DHHS, NIH or NIAID.

  • Apply knowledge of a broad range of techniques in the area of mathematics, statistical analysis, parametric and non-parametric analysis, computer modeling, decision theory, regression analysis.

 

Specific Qualifications:

 

  • Bachelor’s degree plus two years of related experience.

  • Master’s degree is equivalent to a BS degree and two years of experience.

  • Experience with R and/or other statistical software packages

The diversity of Axle’s employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment-based age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.

Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com

Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individual’s assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.

This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location.

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Salary Range
$95,000$105,000 USD