• Job Description

  Req#: 25-41245
  • Role is responsible for designing, planning, and executing large scale data analysis, and algorithm development to identify gaps in the care continuum and to measure impact using RWD.
  • This work highlights the value of utilizing real world data to inform or address strategic questions in the disease areas of interest to The role involves the application of statistical theories, analytical methods, and technical programming skills to analyze clinical, survey, claims, and electronic medical record databases.
  • Role supports the department as a technical subject matter expert on RWE analytics; candidate is expected to act as point of contact for the assigned therapeutic area (TA) on analytical needs, proactively mitigating, resolving and triaging issues and reducing the operational complexity needed.
  • candidate is expected to standardize coding convention, and processes to increase efficiency.
  • Candidates must be adept at breaking down complex data into easily understood language and/or visualization for less technical audiences.
  • Candidates should also be creative in the use of RWD and propose solutions to answer business questions.
  
  Responsibilities:
  • The candidate is expected to have the potential to be the analytics lead for the assigned therapeutic area (TA) to mitigate, resolve and triage analytical complexities
  • Presenting results of analysis and contribute presentation of findings and key takeaways for various audiences
  • Identifying appropriate internal and external data resources and external expertise to execute strategies and research activities
  • Executing analysis plans and providing consultation to design as needed
  • Work with Medical engagement to understand key impact variables and use RWD to quantify and operationalize these variables
  • Responsibility and accountability for meeting timelines in complex matrix structure.
  • This will require developing and maintaining effective cross-functional working relationships to assure effective teamwork and overseeing problem solving within the analytical team
  • Interactions with Medical Engagement, Business Unit TAs, HEOR, and RWE CoE regarding findings and with other members of the Analytical team that perform QC activities on their studies
  • Translating TA business needs into project concepts to develop supporting data dictionary and corresponding analysis
  
  Qualifications:
  • Master’s degree in Statistics or related discipline required, PhD in statistics or closely related discipline (e.g., Health Economics and Outcomes research, Epidemiology, health services research etc.) preferred
  • Minimum of 1-2 years’ experience in analytics programing (SAS, SQL, R, Python) required.
  • The candidates with Python and machine learning experience are preferred.
  • Ability to incorporate production code macros required, ability to execute programming assignments and problem solve issues independently, and ability to present complex research and data clearly to stakeholders.
  • Experience and/or training in the application of advanced scientific and analytical methods in real world evidence generation
  • Ability to perform urgent analyses that are needed with short turnaround time and interact with internal and external collaborative partners on joint projects
  • Professional training in a healthcare field, experience in analysis of large medical claims datasets or prior experience in the UNIX/Hadoop environment preferred
  
  About US Tech Solutions:
  US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com.
  
  US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
  

• About the company

  Our Talent Your Results - This is the premise behind US Tech Solutions. Our flexible engagement model offers right-fit talent on-demand - when, where and how you need it, so you can achieve your business objectives. We offer contingent, contract-to-hire or direct staffing services. At USTECH, we understand how critical talent is to every organization, as well as how the world of work and the workplace is changing. We offer the most effective means to help you acquire, manage and optimize talent. USTECH was founded in 2000 by Manoj Agarwal. Today, we are a global firm offering talent solutions to 150 customers including 20% of Fortune 500 across Financial Services, Healthcare, Life Sciences, Aerospace, Energy, Retail, Telecom, Technology, Manufacturing, and Engineering.

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