Sr Biostatistician

Job Summary

Job Description

• Responsible for data management, analysis, and reporting for Medline research and outcomes monitoring data, including from clinical trials, research & development, post-market, and value-based care partnerships. Assist with the implementation of statistical and analytical design.
• Examine theories, such as those related to probability and inference in order to discover mathematical bases for new or improved methods of obtaining and evaluating numerical data.
• Use a variety of statistical and analytics software, methods, and techniques to gather, analyze, and interpret research and health outcomes data to derive and present useful information; Lead in the development and conclusions, as appropriate.
• Generate statistical analysis plan (SAP) including sample size calculations and randomization schedules, compile and clean raw data, conduct appropriate analysis per the SAP and interpret and present results
• Build and sustain collaborative relationships with individuals in different disciplines and serves as subject-matter expert for research teams, internal and external clinical teams, and other collaborators.
• Write results and review sections of Clinical Study Reports (CSRs) to ensure data integrity.
• Research literature to find answers to statistical questions and remain current on statistical methods and best practices.
• Maintain the data management system for clinical studies and ensure that is Part 11 compliant.
• Provide project oversight, training, and coaching.

• Bachelor’s degree in Statistics or related field required.
• At least 4 years of experience conducting statistical tests (i.e. T-tests, ANOVAS, Linear Regression) for the purposes of hypothesis testing.
• Experience with SAS (Statistical Analysis Software) and/or power analysis software (e.g. PASS, G*Power).
• Experience analyzing and reporting data in order to identify issues, trends, or exceptions to drive improvement of results and find solutions.
• Experience using time management skills such as prioritizing/organizing and tracking details and meeting deadlines of multiple projects with varying completion dates.
• Experience working with cross-functional teams and facilitating teams to identify and implement solutions to complex problems.

Preferred Qualifications:

• Master’s or PhD in Statistics, Biostatistics or related field. Work Experience
• At least 7 years of experience conducting statistical tests (i.e. T-tests, ANOVAS, Linear Regression) for the purposes of hypothesis testing.
• Biostatistics experience in medical device or pharmaceutical industry.

Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.

The anticipated salary range for this position:

The actual salary will vary based on applicant’s location, education, experience, skills, and abilities. This role is bonus and/or incentive eligible. Medline will not pay less than the applicable minimum wage or salary threshold.

Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average. For roles where employees work less than 30 hours per week, benefits include 401(k) contributions, paid time off, as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp. For a more comprehensive list of our benefits please click here.

We’re dedicated to creating a Medline where everyone feels they belong and can grow their career. We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best. Explore our Belonging page here.

Medline Industries, LP is an equal opportunity employer. Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.