Senior Statistician I - Columbus, OH

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 114,000 colleagues serve people in more than 160 countries.

     

JOB DESCRIPTION:

Working at Abbott

Our nutrition business develops science-based nutrition products for people of all ages, from helping babies and children grow to keeping adult bodies strong and active. Millions of people around the world count on our leading brands – including Similac®, PediaSure®, Pedialyte®, Ensure®, and Glucerna® – to help them get the nutrients they need to live their healthiest lives.

At Abbott, you can do work that matters, grow, and learn, care for yourself and your 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.
• Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year.
• An excellent retirement savings plan with a 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 worldwide 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 the best place to work for diversity, working mothers, female executives, and scientists.

The Opportunity

This Senior Statistician I works out of our Columbus, OH location where they will support our Nutrition Research and Develpment team. In Research & Development, our ambition is providing innovative high-quality products, creating sustainable value, delivering superior user experience, and enhancing health outcomes at all stages of life. 

The Senior Statistician I will leverage your statistical expertise, advanced programming skills and solid experience using industry standards (e.g., SDTM, ADaM) and related processes to support the clinical development team in the design, execution, and analysis of clinical trial and other nutrition research data. This position requires experience with statistical methods useful in clinical trial and observational research including analysis of (co)variance, logistic regression, predictive modeling, and causal analysis.

Responsibilities

• Provide input to protocol, CRFs, edit check specifications and data management plan.
• Generate or validate table programs.
• Create or validate analysis data sets.
• Write analysis data set and table specifications.
• Develop basic reports to support Risk-based Monitoring and Centralized data reviews
• Perform adhoc programming.
• Perform complex data checking for Data Management group.
• Document programs and specifications.
• Be able to modify existing global macros or create new project specific macros.
• Perform statistical analysis and reporting of clinical trial data, both safety and efficacy, utilizing SAS programming  
• Perform adhoc analyses (e.g. survey studies)
• Communicate results orally and in written format to non-statisticians (nutrition scientists, medical professionals, and clinical research staff) in an organized and coherent manner
• Create visualization tools, apps, and dashboards.
• Be able to solve issues independently.
• Inform manager on important issues in a timely manner.
• May lead a team of 1-3 programmers on a project, as needed.  This position does not have direct reports.

Education and Experience

Required

• Bachelor's Degree required in Statistics, Biostatistics, Mathematics or related quantitative fields with 3-5 years of experience
• With Master’s degree in Statistics, Biostatistics, Mathematics or related quantitative fields will allow 1-3 years of experience
• With PhD degree in Statistics, Biostatistics, Mathematics or related quantitative fields will allow 0-2 years of experience

Preferred

• Strong SAS analysis and reporting skills.
• Proficiency in SAS MACRO development.
• Experience with additional programming languages (R, Python, MATLAB) 
• Experience with dashboard creation using Power BI or similar tools
• Experience with simulation and modeling
• Experience with large data; data wrangling & data mining; web scraping a plus
• Experience implementing CDISC Standards (SDTM/ADaM) including writing/reviewing ADaM specifications, programming, and validation including efficacy domains a plus

Apply Now

Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: https://abbottbenefits.com/

Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.

Connect with us at abbott.com, on LinkedIn at https://www.linkedin.com/company/abbott-/, and on Facebook at https://www.facebook.com/AbbottCareers.

     

The base pay for this position is

$75,300.00 – $150,700.00

In specific locations, the pay range may vary from the range posted.

     

JOB FAMILY:

Clinical Affairs / Statistics

     

DIVISION:

ANRD Nutrition Research & Development

        

LOCATION:

United States > Columbus : 2900 Easton Square Place

     

ADDITIONAL LOCATIONS:

     

WORK SHIFT:

Standard

     

TRAVEL:

Yes, 5 % of the Time

     

MEDICAL SURVEILLANCE:

No

     

SIGNIFICANT WORK ACTIVITIES:

Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday)

     

Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.

     

EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdf

     

EEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf