Senior Epidemiologist - Biostatistician, US

Company: TriNetX
Location: Cambridge
Posted on: February 20, 2021

Job Description:

Sr. Epidemiologist - Sr. Biostatistician, US REMOTE

The position is based in Cambridge, MA with telecommuting possible, permanent remote US-based considered.

TriNetX is the Global Health Research Network for Healthcare Organizations (HCOs), Biopharma & CROs. We help to optimize clinical research and enable discoveries through the creation of real-world evidence (RWE). TriNetX combines real-time access to longitudinal clinical and genomic data with state-of-the-art analytics to answer complex research questions at the speed of thought.

Our customer base, networks, and product offerings are growing rapidly, and we are expanding our Clinical Sciences & Operations team with the hiring of a senior researcher to join the newly formed RWE, Datasets, and Consulting team. Successful candidates will play a central role in the study design, programming, statistical analysis, results interpretation, and reporting of findings using our proprietary electronic health record (EHR) database, healthcare claims, and chart review data supporting RWE generation studies and consulting engagements. You will initially serve as an individual contributor on customer sponsored prospective/retrospective observational real-world data (RWD) studies, clinical studies incorporating RWD, and other projects to ensure high-quality deliverables to our life sciences customers and other strategic collaborators. As the team grows, there will be opportunities for people management and to manage study teams when serving as the lead researcher.

Possible Day-to-Day:

• Serve as Primary Researcher on RWE studies with primary responsibility for:
  
  • Study design, analytic file development, data management, statistical analysis, and results generation for a variety of internal and external RWE studies, consulting engagements, and stakeholder requests using SAS and other software programs.
  • Utilization of our Research Platform to access global federated EHR available from our 150+ member healthcare organizations (HCOs) in 32 countries, downloadable research-ready US EMR data currently from 41 HCOs and 64 million patients, linked US EMR-claims data, and third-party data sources to obtain patient counts, explore patient populations, treatment pathways, and compare cohorts for sponsored and independent research.
  • Providing customers with curated RWD and RWE for clinical trial control arms, support of label expansion, pre-and post-launch activities, value proposition development and support, scientific conference presentation, and peer-review publication. Study designs include retrospective database, chart review, and prospective observational studies, and real-world comparator arm clinical trials.
  • Delegation and oversite of project work to SAS programmers, analysts, and other contributors across TriNetX.
    • Support growth of RWE, Datasets, and Consulting by responding to Requests for Information (RFI) and Proposals (RFP), develop proposals for non-competitive opportunities, identify engagement opportunities in collaboration with TriNetX Industry Sales and Account Directors.
      
      • Conduct demonstrations of TriNetX Platform Analytics.
      • Present during company-sponsored informational, study-specific, and application of RWD to health-related topics in the news and of particular interest to the biopharma and device industry.
      • Work with other members of RWE, Datasets, and Consulting to develop and maintain SOPs for programming, analysis, documentation, maintenance, and q/a of SAS and R code, reporting standards, and code and format libraries to ensure internal and external consistency across engagements.
      • Train and mentor junior staff
      • Work with cross-functionally with internal teams including Engineering, Product Management, Data & Informatics, Clinical Analytics & Feasibility, and internal stakeholders to:
        
        • Identify, design, and test new TriNetX Research Platform query build and analytic features
        • Evaluate the structure and quality, and test use cases for RWD sources available for purchase, partnership, or acquisition.
          What you bring to the table:
          
          
          • Masters or Doctoral degree in a health-related or quantitative discipline.
          • A minimum of 5 years designing and conducting real-world observational studies for life science companies, consultancies, or in an academic setting.
          • Advanced knowledge of SAS/BASE, SAS/MACRO, and SAS/SQL.
          • Demonstrated application of statistical methods such as various uses of propensity score weights, logistic regression, GLM, nested analysis, analysis of skewed (e.g., healthcare cost) data, time-to-event analysis, and recycled predictions using SAS/STAT and R; other statistical software and visualization tools a plus.
          • Ability to plan, organize, and work on multiple tasks simultaneously and often in different therapeutic areas while maintaining accuracy and attention to detail is required.
            Interested in joining our community?
            
            TriNetX is an Equal Opportunity Employer. All persons are considered for employment without regard to their race, color, creed, religion, national origin, ancestry, citizenship status, age, disability or handicap, sex or gender, marital status, sexual orientation, genetic information, gender identity, veteran status, or any other characteristic or status protected by applicable federal, state or local laws.
            
            No recruiters or agencies, please. Any candidates submitted through outside agencies will NOT be considered and disqualified. Thank You.
            
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Keywords: TriNetX, Cambridge , Senior Epidemiologist - Biostatistician, US, Other , Cambridge, Massachusetts