Clinical Data Analyst
You’re ready to make a difference utilizing your expertise in data science and healthcare, while leading with purpose. You enjoy making sense of complex clinical data and turning it into insights that help improve real-world healthcare. As a Clinical Data Analyst, you’ll be at the heart of a dynamic team, using your analytical skills to shape the future of orthopaedic care. You’ll collaborate with clinicians, researchers, and industry leaders to transform data into impactful decisions, publications, and quality initiatives, and not just crunch numbers.
If this sounds like you, please read on!
The Clinical Data analyst supports the Registries and Clinical Quality and Value (CQV) Departments as part of the Combined Analytics and Data Science team to lead the extraction, integration, and analysis of data for registry and quality deliverables. The role reviews and provides subject matter expertise of relevant orthopaedic literature. This position serves as a key team member for developing and reporting results of statistical analyses (e.g. risk ratios, odds ratios, survivorship, incidence/prevalence data, cost data, meta-analyses) in an interpretable fashion for Registries and CQV stakeholders, including clinicians who guide treatment, diagnostic, and/or screening recommendations and publications based on the results of these analyses.
- Assists the Combined Analytics and Data Science Team in the documentation and analysis for program-wide reporting for Registries Annual Reports, surrounding interim annual reports, and external abstract/manuscript submissions for publication or presentation.
- Collaborates with industry representatives, physicians, quality departments, hospital administration, and other staff as needed to translate data needs into reports and analyzed data, ensuring timely and accurate delivery of those extracts utilizing appropriate statistical methods/modeling for quality improvement needs.
- Integrates various data sources, from internal databases, active participants, the Centers of Medical and Medicaid Services (CMS), and others to supplement and maximize data capture for Registry and CQV products.
- Assists in the advancement and creation of clinical performance measures using registry data and stakeholder needs.
- Assists in the maintenance of all required regulatory documentation and communication surrounding the IRB review.
Exemplifies the following essential values of the Academy:
- Teamwork: Effective collaboration and team-focus to solve complex problems and drive innovation.
- Empowerment: The authority, information, and skills to make decisions and drive results.
- Accountability: Ownership of process and results that drive decisions and ensure implementation.
- Mindset of Growth/Continuous Learning: Focused on and invested in self and staff development to become more adaptable, making the Academy more agile, innovative, and sustainable.
Qualifications:
Required:
- Undergraduate degree in public health or life sciences, epidemiology, and/or another related area.
- Working familiarity with SAS statistical software
- Understanding of healthcare study design and statistical modeling
- Experience/interest in a healthcare research or clinical capacity
- Experience managing complex projects from conception to conclusion including defining project objectives and deliverables
- Strength in managing relationships among leaders, colleagues, project partners, and stakeholders
- Proven attention to detail and maintenance of data integrity and accuracy
- Strong communication, organization, and problem-solving skills with particular attention to statistical design development and interpretation of results
- Knowledge of HIPAA Privacy and Security Rules, PHI, IRB and other relevant regulatory issues.
Desired:
- Advanced degree in public health, health services research, clinical research, epidemiology and/or another related area.
- Base/Advanced certification or equivalent experience with SAS programming
- Strong data management skills and experience with high level of data integrity.
- Familiarity with evidence-based medicine, health outcomes, health care quality standards and performance improvement
- Understanding of medical coding and electronic medical records
- Beneficial but not necessary to understand SQL and/or R programming languages
Salary Range: $75,000-$77,000, depending on qualifications and experience.
Apply today and bring your expertise in data science and healthcare to a team where your work has meaningful impact, helping shape both organizational success and the future of AAOS. If this resonates with you, apply today by sharing the following:
-Clearly communicate why you are the ideal candidate for this role, providing specific examples and experiences as proof points.
-Resumes must be accompanied by a cover letter with salary expectations to be considered.
Please note:
This hybrid position is based in Rosemont, Illinois and is open to applicants who are able to commute bi-weekly to this office.
Applicants must already be authorized to work in the United States on a full-time basis. We are unable to sponsor or take over sponsorship of work visas.