Telecommute Senior Biostatistician

Senior Biostatistician

Locations (remote); The Senior Biostatistician is PaceMate's first biostatistician. The role independently leads the statistical design, analysis, and reporting of PaceMate's clinical research, including internal quality and research studies and externally published work.

The role owns each study from analysis plan through peer-reviewed publication and response to reviewers, working directly with the Chief Medical Officer and PaceMate's clinical team. AI-assisted tools are part of how this role works every day, and the role is accountable for validating every result they help produce. The position has latitude to shape its own workflow and a potential path to expanded oversight of research-related functions.

Write and execute statistical analysis plans for retrospective and real-world evidence studies, including target trial emulation. Define estimands (ICH E9(R1)), cohorts, exposure windows, and outcomes with the Chief Medical Officer and clinical investigators.

Link and validate multi-table device data. Confirm denominators, person-time, and follow-up, and address left truncation and immortal time bias around device implant and remote monitoring enrollment.

mean cumulative function), time-to-event outcomes with competing risks (cause-specific hazards, Fine-Gray, Aalen-Johansen), and clustered data (mixed-effects models, GEE).

Handle informative censoring with IPCW and missing data with multiple imputation. Test robustness with E-values, negative control outcomes, and tipping-point analyses.

Respond to peer review: re-analyses, statistical sections of response letters, and defensible positions under methodological critique.

Present effect estimates with confidence intervals to leadership in plain language.

Use AI coding assistants (e.g., GitHub Copilot, Claude, ChatGPT) daily to write, review, debug, and document R and SQL code and analysis reports. Provide statistical input and limited analyses to support quality improvement, patient safety monitoring, and clinical operations when needed. Build reusable research infrastructure with the data science team: standardized cohort definitions, reusable R code, and templated outputs.

Maintain the analytic queue and the documentation that lets any published result be reproduced by script from the raw data extract.

Maintain appropriate levels of current knowledge and the ability to interpret, comprehend, and apply policies. Assist in ensuring consistency in practices and PaceMate Mission, Vision, and Customer Service standards are met. Adhere to the Code of Conduct and all Company Policies and Procedures.

Infrequently, prepare IRB documentation, including determination requests and reliance materials.

When requested, evaluate predictive models for discrimination, calibration, and clinical usefulness (decision curve analysis), including temporal and external validation (TRIPOD+AI).

Reasonable accommodation may be provided to enable individuals with disabilities, who are otherwise qualified, to perform the essential functions. PhD in biostatistics, statistics, or epidemiology; or a Master's in one of these fields with at least 8 years applying statistics to health data with clear independent ownership of analyses.

Lead or methods statistician on peer-reviewed cardiovascular clinical research (electrophysiology, heart failure, cardiac devices, or closely related). Command of the methods this data demands: linking many related tables; recurrent-event and time-to-event methods including competing risks; clustered and repeated-measures data; confounding control in observational data; High proficiency in R across the full pipeline, including R Markdown or Quarto.

SQL sufficient to query and join relational clinical tables.

renv), scripted pipelines, and literate reporting.

Ability to explain methods and limitations to physicians and to a manager who is not a statistician, and willingness to state clearly when the data cannot support a conclusion.

Current, regular use of AI coding assistants in analytical work, with a consistent method for checking their output and protecting patient data.

Research using CIED, electrophysiology, or remote monitoring data, especially transmission-level data.

Published work using target trial emulation.

Working knowledge of Python.

While performing the duties of this job, the employee will be consistently required to remain in a stationary position working at a computer, constantly operate a computer and other office equipment, and frequently communicate with customers and employees via voice and video.

and repetitive motions using fingers and forearms in data entry.

Home office setup: Maintain a dedicated, separate office or room at home to ensure privacy and professional working conditions.

You must inform and receive approval from the IT department before working from any location other than the legal address PaceMate has on file. To update your address or request approval for a temporary work location, contact PaceMate IT or your HR representative. When confidential information is carried into a foreign country, it must be stored in an inaccessible form (e.g., May require limited travel based on the needs of the business.

We are an Equal Opportunity Employer and value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status.

Department: AI Innovation - Engineering

Director of AI & BI

Director of AI & BI or designee; Target Compensation: $136,000 - $172,850 depending on education, experience, specifics of the position.

PaceMate® is a patient-centered, tech-enabled cardiac device monitoring platform serving integrated delivery networks and academic health systems nationwide. Vendor-neutral and EMR-agnostic, PaceMate connects every major device manufacturer into a single platform that sits on top of any EHR.

More than 2.3 million patients are managed on the industry’s only research-grade cardiac dataset, validated by 33 peer-reviewed publications, powering AI-driven clinical and operational analytics.