Clinical Trials Statistician (Hybrid, CA)

MiniMed; Los Angeles (CA); Hybrid; USD 87,000 - 149,000; Full time

Benefits offered by this job

Hybrid work model

Comprehensive benefits

Job summary

MiniMed in Northridge, CA is seeking a statistician to join the Evidence Analytics, Strategy and Innovation (EASI) team to plan, execute, and analyze the clinical trials, ensuring that trials are scientifically valid, statistically sound, and compliant with regulatory standards.

The role requires strong communication and experience in statistical software (R or SAS) for success in this hybrid position.

Qualifications

• Requires a Baccalaureate degree and minimum of 2 years of relevant experience, or advanced degree with 0 years of experience.
• Experience in SAS or R

Responsibilities

• Designs, plans and executes biostatistical components of plans for research and development projects that establish the conditions essential for determining safety, efficacy, and marketability of pharmaceutical and/or biological products.
• Uses sound statistical methodology to conduct studies relating to the life cycle of the product.
• In development-phase projects, prepares the statistical component of protocols which meet project objectives, health authority guidelines, and clinical trial methodology standards.
• Develops and/or applies statistical theories, methods, and software.
• Summarizes and interprets data into tabular and graphical formats amenable to principles of statistical inference and is responsible for the statistical component of reports describing studies, outcomes and methods used.
• Provides specifications and directions to the clinicians/statistical programmers.
• Supports the regulatory review and approval of the experimental therapies.
• May partner in trial design and in establishing standards for clinical conduct, and the collection, management and/or reporting of data.

Skills

R

SAS

Education

Bachelor's degree or higher

Tools

R

SAS

Job description

MiniMed in Northridge, CA is seeking a statistician to join the Evidence Analytics, Strategy and Innovation (EASI) team to plan, execute, and analyze the clinical trials, ensuring that trials are scientifically valid, statistically sound, and compliant with regulatory standards.

The role requires strong communication and experience in statistical software (R or SAS) for success in this hybrid position.