What are the responsibilities and job description for the Real-World Evidence Senior Scientist position at Beckman Coulter Diagnostics?
Advancing Science and Healthcare Forward
We are committed to advancing and optimizing the laboratory to move science and healthcare forward. Our team values diversity, inclusivity, and collaboration.
As a Real-World Evidence Senior Scientist at Beckman Coulter Diagnostics, you will lead the design and execution of industry-leading RWE data solutions. You will work closely with cross-functional partners across the organization to drive, transform, and optimize our global pre and post-market clinical strategies through innovative RWE data design and collection.
This role is part of the Clinical Chemistry & Immunoassay (CCIA) Clinical Affairs Department and reports to the Senior Director of Clinical Affairs. If you thrive in a multifunctional, fast-paced role and want to work to build a world-class clinical affairs organization, read on.
In this role, you will have the opportunity to:
- Provide deep technical expertise for the design and delivery of studies using real-world evidence (data) to drive competitiveness of our portfolio.
- Generate key RWE-based insights on our early pipeline assets to drive global commercial strategies and create a competitive advantage.
- Effectively navigate technology, analytical, legal, and privacy complexities to achieve objectives.
- Write study protocols, data specifications, and study reports as needed, use a variety of analytical techniques applied to various databases, and strategize regarding research programs.
- Design RWE studies to support new product development, product claims expansion, recertification of legacy products, and evidence which could support the reimbursement strategy.
The essential requirements of the job include:
- Bachelor's degree in Epidemiology, Health Services Research, Health Outcomes Research, Biostatistics, Biomedical Engineering, or other related field with at least 5 years of Epidemiology or related research work experience in healthcare.
- Deep knowledge and experience using a statistical programming language (e.g., SAS, R, SQL, STATA) to lead the design & development of protocols using real-world data.
- Experience writing epidemiology protocols and study reports.
- Experience analyzing and interpreting quantitative data.
It would be a plus if you also possess previous experience in:
- Communicating complex statistical/machine learning results to technical and non-technical audiences.
- Working in multiple therapeutic areas - experience in Oncology, Hematology, Immunology, Infectious Disease, Vaccine, Cardiovascular, Metabolic, Pulmonary Hypertension, and/or Neuroscience disease area(s).
- Good Clinical Practice (GCP) and/or regulatory compliance guidelines for real-world evidence studies or clinical trials.
