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ERT Biostatistician in Philadelphia, Pennsylvania

Reference #: R17412 At Clario, our purpose is to transform lives by unlocking better evidence. As a Biostatistician within our Cardiac team, you will play a critical role in delivering highquality statistical analyses that support cardiac safety evaluations and clinical trial outcomes. You will collaborate closely with crossfunctional scientific teams to ensure accurate, timely, and compliant statistical deliverables that advance our clients' drug development programs.

What We Offer

Competitive compensation

Comprehensive medical, dental, and vision coverage

401(k) plan with company match

Generous paid time off and paid holidays

Fully remote work arrangement within the United States

What You'll Be Doing

Develop, test, execute, and maintain SAS and R programs for statistical analyses, including central tendency analysis, categorical analysis, and concentrationQTc analysis

Validate statistical results through double programming and independent verification

Prepare tables, figures, and listings (TFLs) in accordance with approved statistical analysis plans

Review final outputs and reports to ensure alignment with planned statistical methodologies

Perform quality checks on CDISCformatted analysis datasets (ADaM)

Support research programs by providing statistical results and insights to senior team members and department management

Interpret and communicate statistical methodologies, results, and conclusions to Principal/Senior Principal Biostatisticians, Medical Writing, and Scientific Teams

Train team members on standard operating procedures and standard statistical methodologies

Drive process improvements to enhance operational efficiency and data quality

Manage timelines, client commitments, and ontime delivery for assigned projects

Maintain accurate deliverable tracking, status updates, and milestone dates in team tracking tools

Assist with the development, coordination, maintenance, and enforcement of quality standards, including SOPs, SWIs, playbooks, checklists, and templates.

What We Look For

Master's degree in Statistics, Mathematics, or a related discipline with at least 2 years of relevant industry experience, or Bachelor's degree in Statistics, Mathematics, or a related discipline with at least 6 years of relevant industry experience

Experience in clinical trials within a CRO or pharmaceutical research organization

Strong proficiency in SAS or R programming

Familiarity with statistical methodologies including ANOVA, ttests, regression, and linear mixedeffects modeling

Experience generating tables, figures, and listings (TFLs)

Understanding of clinical protocols, statistical analysis plans, and the pharmaceutical drug development process

Awareness of CDISC SDTM and ADaM standards

Prior experience in statistical modeling for clinical trials, with a focus on QT modeling

Strong analytical, organizational, and communication skills, with the ability to explain complex statistical concepts clearly

Ability to work independently and collaboratively while adapting to changing priorities

Proficiency with Windows and Microsoft Office applications

Willingness to travel up to 50%, as required, and ability to perform computerbased work for extended periods.

At Clario, our purpose is to transform lives by unlocking better evidence. It's a cause that unites and inspires us. It's why we come to work-and how we empower our people to make a positive impact every day. Whether you're advancing clinical science, building innovative technology, or supporting our global teams, your work helps bring lifechanging therapies to patients faster.

EEO Statement Clario is an equal opportunity employer. Clario evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status, or any other legally protected charact ristic.

ERT is an equal opportunity employer and all qualified applicants receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.

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