Biostatistician

Biostatistician

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries.

At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You'll also have access to:

• Career development with an international company where you can grow the career you dream of.
• Free medical coverage for employees* via the Health Investment Plan (HIP) PPO
• An excellent retirement savings plan with high employer contribution
• Tuition reimbursement, the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelor's degree.
• A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.
• A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists.

The Opportunity

This role for a Biostatistician will provide appropriate statistical input into study design and analysis of data. Ensures accuracy of programs and documents. Participate in statistical or process related presentations to customers.

This position will be based out of our Abbott Diabetes Care in Alameda, CA and the individual will be expected to be onsite Monday-Friday.

What You'll Work On

• Effectively communicates with cross-functional study team (i.e., data management, clinical operations, clinical science, etc.) to understand to scope of data analysis needed to evaluate the objectives of the study.
• Follows the appropriate operating procedure for developing the statistical plan and conduct clinical data review and analysis.
• Demonstrates the ability to research and provide appropriate statistical input to the study design.

Study Preparation:

• Effectively communicates with clinical scientists/R&D to understand the objectives of the study, and follows the appropriate operating procedure for developing the statistical analysis plan (SAP)
• Meets with CRA, data managers, and programmers to find the best way of capturing the data.
• Reviews the study protocol; understands the protocol; and ensures that the correct data is being collected to achieve the objective(s) of the protocol.
• Completes the required study documentation and conduct data reviews throughout the study.
• Reviews all case report forms (CRFs) for completeness, accuracy, and appropriateness.
• Attends and participates in the team meetings.

Data Analysis:

• Write SAS/R code for common statical analyses.
• Understands program verification procedure; writes and executes program verification plans.
• Conducts thorough and detailed reviews of project documentation, program algorithms and analysis outputs.
• Interprets the analysis output clearly and effectively.
• Prepares statistical summaries in a timely manner for team and management review.
• Files documents and archives projects according to current department procedures.
• Prepares for data reviews throughout the study.
• Follows the appropriate operating procedure required within the division and department.
• Effectively communicates information to supervisor and team members regarding the progress of the study.
• Explains the rationale of the statistical methods to the project team.
• Develops experimental design and performs statistical analyses for studies.

Budget Scope:

• Accountable for proper use of statistics and for the validity of conclusions drawn.
• Performs the majority of tasks with minimal assistance.

Required Qualifications

• Bachelor's degree in Statistics (or related field) + 1 year experience, or MS/PhD in Statistics (or related field)
• Min 2+ years in SAS/R programming, statistical writing and data analysis