Manager, Statistical Programming and Clinical Analytics

Recor Medical, Inc.; Palo Alto (CA); On-site; USD 175,000 - 183,000; Full time

Job summary

ReCor Medical in Palo Alto, CA, is pioneering Ultrasound Renal Denervation (uRDN) therapy to treat hypertension. The Manager, Statistical Programming and Clinical Analytics leads programming and analytics across clinical studies, spending ~70% on delivery and 30% on leadership and process improvement.

This role collaborates with Data Management, Clinical Operations, Scientific Affairs, Medical Affairs, Marketing, Regulatory Affairs, and Biostatistics to ensure timely delivery of analyses,

Qualifications

• Bachelor's degree in statistics, computer science, life sciences, or related field with 8+ years of relevant experience.
• Advanced proficiency in R; experience with SAS, Python, and SQL preferred.
• Proven track record programming, validating, reviewing, and approving analysis datasets, tables, listings, figures, and outputs.
• Experience using Git and GitHub for source control and collaborative workflows.
• Understanding of CDISC standards and regulatory expectations for programming deliverables.
• Experience supporting regulatory submissions, publications, or real world evidence programs.
• Demonstrated cross-functional leadership and mentoring of programming staff.

Responsibilities

• Lead statistical programming activities for trials, registries, and regulatory submissions.
• Program, validate, review datasets, tables, listings, figures, and dashboards.
• Partner with Data Management for data quality and study reporting.
• Collaborate with Clinical Operations on study metrics and site analytics.
• Support evidence generation with Medical Affairs and Marketing.
• Collaborate with Biostatistics on analysis requirements and validation.
• Mentor programming staff and external partners; ensure standards and documentation.
• Use Git and GitHub workflows for version control and peer review.

Skills

R

SAS

Python

SQL

Git/GitHub

CDISC

Education

Bachelor's degree in statistics, CS, life sciences

Tools

Medidata Rave

Job description

At ReCor Medical, we are pioneering Ultrasound Renal Denervation (uRDN) therapy to treat hypertension, the leading cardiovascular risk factor in the world. With our Paradise™ uRDN System, we’re on a mission to provide the millions of people who suffer from hypertension with a non-drug and minimally invasive option to lower their blood pressure. Join us on our journey and make a meaningful impact on the lives of people around the globe.

Position Summary

The Manager, Statistical Programming and Clinical Analytics is a working manager role responsible for leading statistical programming and clinical analytics activities across ReCor Medical clinical studies. This role remains primarily hands on, with approximately 70% of time focused on programming and analytics delivery and 30% focused on leadership, cross functional partnership, technical mentoring, standards, and process improvement. Responsibilities include analysis datasets, tables, listings, figures, statistical outputs, automated reporting, regulatory submission support, publication analyses, and reusable programming tools for clinical trials, registries, post approval studies, and real world evidence programs. The Manager serves as a key cross functional partner to Data Management, Clinical Operations, Scientific Affairs, Medical Affairs, Marketing, Regulatory Affairs, and Biostatistics to ensure timely delivery of high quality analyses, reporting, evidence generation, and business insights.

Responsibilities And Duties

• Lead statistical programming activities supporting clinical trials, registries, post approval studies, real world evidence programs, and regulatory submissions.
• Program, validate, review, and maintain analysis datasets, tables, listings, figures, statistical outputs, dashboards, and reporting packages.
• Partner with Data Management to support data quality, data review, database lock readiness, and clinical study reporting.
• Collaborate with Clinical Operations on study performance metrics, enrollment reporting, site analytics, operational dashboards, and risk identification.
• Partner with Scientific Affairs, Medical Affairs, and Marketing to support evidence generation, publication analyses, congress presentations, investigator materials, commercial evidence needs, and business insights.
• Collaborate with Biostatistics on analysis requirements, output specifications, statistical review, and interpretation of programming deliverables.
• Support clinical study reports, regulatory submissions, manuscripts, abstracts, posters, presentations, and publication related analyses.
• Use Git and GitHub based workflows for source control, code review, version management, validation traceability, and collaborative development.
• Develop reusable R based tools, SAS macros, Python scripts, SQL queries, and automated reporting solutions to improve efficiency, quality, and scalability.
• Establish and maintain programming standards, validation procedures, quality controls, reusable templates, and documentation practices.
• Manage, mentor, and develop programming staff and external programming partners while remaining a senior technical contributor.
• Other duties as assigned.

Qualifications

• Bachelor's degree in statistics, computer science, life sciences, or a related field with a minimum of 8 years of relevant statistical programming, clinical programming, or clinical analytics experience, or equivalent combination of education and experience.
• Advanced proficiency in R is required; experience with SAS, Python, and SQL is preferred.
• Strong experience programming, validating, reviewing, and approving analysis datasets, tables, listings, figures, and statistical outputs for clinical studies.
• Experience using Git and GitHub for source control, peer review, code review, validation traceability, and collaborative programming workflows.
• Comprehensive understanding of clinical trial processes, clinical data flow, CDISC standards, and regulatory expectations for programming deliverables.
• Experience supporting regulatory submissions, clinical study reports, publications, real world evidence programs, or evidence generation activities.
• Demonstrated experience working cross functionally with clinical, scientific, medical, regulatory, and commercial stakeholders.
• Prior people leadership or technical mentoring experience preferred.

Preferred Skills

• Experience developing reusable R packages, Python packages, SAS macros, SQL libraries, or statistical programming frameworks.
• Experience with automated testing, reproducible programming practices, and programming quality controls.
• Experience with Medidata Rave, clinical data integrations, or cloud based data platforms.
• Knowledge of AI enabled analytics or automation solutions applicable to clinical data quality, risk detection, statistical reporting, or operational analytics.
• Experience supporting medical device trials, post approval studies, registries, or real world evidence programs.

Salary Range $174,875 - $183, 419 (Annual Base Salary)

Compensation for this role is determined using market-based geographic pay ranges. The salary range offered to the selected candidate may vary based on their primary work location, relevant experience, qualifications and other job-related factors. The successful candidate's starting base pay will be determined based on job-related skills, experience, qualifications, work location and market conditions. The expected base pay range for this role may be modified based on market conditions.

Equal Employment Opportunity

At ReCor Medical, we value bringing together individuals from diverse backgrounds to develop new and innovative solutions for patients. As an equal opportunity employer, we do not discriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information gender identity or expression, sexual orientation, marital status, protected veteran status, or any other legally protected characteristic.

Pre-Employment Requirements

At ReCor Medical, patient safety, integrity, and regulatory compliance are foundational to everything we do. To support these standards, employment is contingent upon meeting the following requirements:

• Background Screening & Drug Testing: Final candidates may be required to successfully complete a background check and/or drug screening, conducted in accordance with applicable laws and regulations.
• Washington Fair Chance Act Compliance (if applicable): For applicants who reside in or are applying for roles based in Washington State, ReCor Medical adheres to the Washington Fair Chance Act. This means we do not inquire about or consider criminal history until after an initial determination has been made that the candidate is otherwise qualified for the role, and we do not automatically exclude individuals based on criminal records.
• New Hire Training: All employees are required to successfully complete ReCor training program within their first 90 days of employment as a condition of continued employment.

Radiation Safety Requirement

Certain field-based roles at ReCor Medical require work in environments where radiation sources (e.g., x‑ray equipment) are in use. Employees in these roles will be issued a personal dosimetry badge to monitor occupational exposure and are required to wear it in accordance with company policy and applicable regulatory standards. This program is designed to ensure compliance with federal and state regulations and to maintain radiation exposure at levels that are As Low As Reasonably Achievable (ALARA). Additional guidance and protective equipment, as necessary, will be provided as part of onboarding and ongoing safety training.

Respecting your privacy is an essential part of the Company’s privacy program and we are committed to the proper handling of Personal Information collected or processed in connection with an Applicant’s application for employment, a Contract Worker’s work, or a Former Employee’s employment at ReCor. Refer to our Applicant, Contract Worker & Former Employee Privacy Policy for more detail information.