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Job Title: Biostatistician III / Senior Biostatistician (Part-Time)
Location: Remote
Organization: Cardiovascular Associates of America (CVAUSA)
Job Type: Contractor, part-time (up to 20 hours per week)
Travel: up to 2 times per year (for team meetings)
Reports to: Chief Research and Quality Officer
Cardiovascular disease is the single largest contributor to premature death and disability in the world. At CVAUSA, we are dedicated to delivering the highest quality cardiovascular care and to advancing scientific discovery through clinical research, including randomized trials and observational and health outcomes research. As we build our clinical programs and our national network of cardiovascular research, we need strong team members who are passionate about generating rigorous real-world evidence that improves cardiovascular care.
Position Summary
The Biostatistician III (Senior Biostatistician) will serve as the methodological and programming lead for CVAUSA's real-world evidence and observational research projects. This fully remote, part-time role leads study and analytic design, independently authors statistical analysis plans and the statistical sections of grants and protocols, and functions as principal or lead statistician across projects conducted within the network's community cardiology practices.
This role is ideal for an experienced statistician who can set analytic strategy and standards, resolve novel methodological problems with full autonomy, provide statistical leadership and mentorship to the quality and research teams, and translate complex methods into rigorous, defensible evidence that supports high-quality, evidence-based cardiovascular care.
Key Responsibilities
- Lead study and protocol design and independently author statistical analysis plans and the statistical/methods sections of grant applications and protocols.
- Serve as principal or lead statistician across a portfolio of observational, registry, and real-world evidence studies in cardiovascular care.
- Design and apply advanced analytic strategies for observational data, including causal-inference methods (propensity-based weighting/matching, marginal structural models, instrumental variables, difference-in-differences, target-trial emulation), hierarchical/Bayesian methods, and predictive/machine-learning approaches as appropriate.
- Define analytic strategy, endpoint and phenotype definitions, and data-quality frameworks across multiple studies and real-world data sources (EHR, claims, registries).
- Serve as statistical lead and co-author on manuscripts.
- Respond to methodological critique from peer reviewers, sponsors, and regulators, and defend analytic choices.
- Mentor and provide technical direction to Biostatistician I and II staff and represent biostatistics in cross-functional and external settings, as needed and appropriate.
Qualifications
Required
- Master's degree (MS or MPH) plus approximately 5–8+ years, or a doctoral degree (PhD) plus approximately 2–4+ years, of applied biostatistics/epidemiology experience, ideally in a productive research environment that is generating work published in peer reviewed healthcare journals.
- Demonstrated expertise in advanced methods for observational and real-world data, including causal-inference and confounding-control techniques.
- Track record of independently authoring SAPs and statistical/methods sections of protocols or grant applications.
- Advanced proficiency in SAS and/or R, including reproducible-analysis and code-review practices.
• Advanced proficiency in SQL.
- History of methodological leadership and contribution to peer-reviewed publications.
- Excellent communication skills, including the ability to translate complex methods for non-technical audiences.
- Substantial experience in real-world evidence and observational research using EHR, administrative claims, and clinical registries.
Preferred
- Experience in cardiovascular research generally, and cardiac imaging (e.g., cardiac PET, myocardial blood flow, ANOCA/CMD) cardiac procedural (e.g., coronary angiography, PCI, catheter ablations) research in particular.
- Experience serving as statistician on grant-funded studies and interacting with industry or foundation sponsors.
- Familiarity with cardiovascular code sets (ICD-10-CM/PCS, CPT) and CMS data structures and algorithms (e.g., Chronic Conditions Warehouse).
- proficient in power BI for data visualization.
- Experience mentoring or supervising statistical staff.
Key Attributes
- Operates with full autonomy and sound methodological judgment on novel and ambiguous problems.
- Detail-oriented with strong analytical, organizational, and leadership skills.
- Able to set direction and standards while balancing multiple priorities in a fully remote, part-time environment.
- Excited to roll up sleeves and do what is needed to help projects and the program to be successful, including coding, table and figure development, and other core statistics work.
- Collaborative mentor who is responsive to and constructive with feedback.
- Motivated by improving quality and outcomes in cardiovascular care.
• Works with high integrity.
Why Join Cardiovascular Associates of America
At CVAUSA, you'll help advance scientific discovery at a national scale, as part of the nation's largest network of cardiovascular care professionals. You'll have the opportunity to work closely with and learn from physician, quality, and research leaders. Your work will be more than just numbers and data; it will be foundational for our efforts to improve patient care and save lives.
Originally posted on Himalayas
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- 14 Aug 2026 Himalayas first sighting
Seen on 1 board over 0 days.