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About AbbVie

AbbVie (NYSE:ABBV) is a global, research-driven biopharmaceutical company committed to developing innovative advanced therapies for some of the world’s most complex and critical conditions. The company’s mission is to use its expertise, dedicated people and unique approach to innovation to markedly improve treatments across four primary therapeutic areas: immunology, oncology, virology and neuroscience. In more than 75 countries, AbbVie employees are working every day to advance health solutions for people around the world.  For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook or LinkedIn.​

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Senior Biostatistician

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Research & Development
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1907566 Requisition #
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General Position Summary/Purpose:


Provide statistical expertise for design, analysis and reporting of clinical or scientific research studies and interested in producing novel, impactful, data-driven insights, and developing world-class analytic products using various databases

 

Key Accountabilities/Core Job Responsibilities:


  • Protocols: Contribute to study design, data collection plan, calculate sample-size, develop randomization specifications and write statistical analysis plans with supervision to address study objectives. Ensure alignment of protocol with project and functional standards. Conduct quality review of protocol. Under supervision, implement the randomization schedule as planned with Interactive Response Technology vendor, Global Drug Supply Management and other partners.
  • Database Activities: Assist in identifying scientifically appropriate data collection instruments. Assist in developing data monitoring plans, project conventions and verify consistency across studies. Provide programming specifications for derived variables and analysis datasets. Identify and report data issues or violations of study assumptions. Assist programmers and data managers in preparing for database lock. Ensure accuracy of data released for statistical analysis.

  • Statistical Analyses: Explain statistical concepts to non-statisticians. With supervision develop analysis plans ensuring methods are appropriate with the study design with detail for programming implementation.  Perform statistical analyses as per the SAP. Identify and anticipate issues arising in the study design, conduct or propose alternative approaches. Evaluate available statistical methodology and software and need for novel statistical methodology.

  • Data Analytic Activities:  Independently write programs in appropriate language (e.g. R, SQL, Python), to develop data (sets), from multiple databases. Independently produce analysis (e.g. basic data analysis, statistical test, statistical modeling) or analytics (e.g. a dashboard), with appropriate tools (e.g. Excel, R, Python, HTML, Tableau). Produce written reports which summarize analytic deliverable; including methods, interpretations, and business implications. Stay abreast of contemporary analytics, such as big data technologies (e.g. Azure, AWS, Hadoop, OLAP tools), analytic technologies (e.g. SAS, R, Python, Tableau, etc.), and statistical (including data-mining and machine learning) methods. Familiarity with International Classification of Disease Ninth/Tenth Revision, Clinical Modification [ICD-9-CM]; ICD-10-CM.

  • Reports and Publications: With project team, develop strategy for data presentation and inference. Write statistical methods and other relevant sections of protocols, scientific publications, etc., with supervision. Identify and recommend corrections of flaws in statistical interpretation. Collaborate in publication of scientific research. Ensure analyses are conducted as planned. Ensure accuracy and internal consistency of reports and publications, including tables, listings, and figures.

  • Consultation: Work collaboratively with multifunction teams per agreed timelines. Timely inform management on important issues that may arise. Provide responses to routine questions from clients and independently pursue analyses suggested by data. Develop and maintain good client relationships. Clearly communicate statistical concepts. Communicate a basic understanding of scientific principles for assigned projects and act accordingly.

  • External Engagement: Act as the liaison for statistical and operational issues on PCYC collaborative studies with Academic and Contract Research Organizations.

  • Training and Mentoring: Maintain technical skills and increase knowledge of new statistical methods and areas of application through scientific literature and professional meeting attendance. Present own statistical research or review of statistical literature at meetings. Participate in departmental activities including recruiting, training/mentoring, research efforts and cross-functional collaborations, as needed.

 

 

  • Good oral and written English communication skills.
  • High degree of competence in experimental design, descriptive statistics, inferential statistics, statistical modeling, and statistical programming.

Education and Experience:


  • MS (with a minimum of 4 years of relevant experience) or PhD in Statistics, Biostatistics, or a highly related field.

  • Intermediate to advanced proficiency with SQL, SAS, R or other high level data programming language

  • Basic proficiency with Python, PHP, Perl, VB, JavaScript, C++ or other programming language

  • Formal training or extensive applied experience with advanced statistical methods such as regression-type modeling, data-mining methods (e.g. classification trees), machine learning methods and machine learning models

  • Proficiency with data visualization

  • 2+ years developing data that merges relational tables, either within a relational database or related “big data” environments (e.g. SQL Server, Hadoop)

  • 2+ years of data and statistical analysis

  • 1-2 years project management experience, including demonstrated success with cross-functional collaboration

  • 1-2 years implementing novel analytics with minimal supervision



Equal Employment Opportunity Employer

At AbbVie, we value bringing together individuals from diverse backgrounds to develop new and innovative solutions for patients.  As an equal opportunity employer we do not discriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information gender identity or expression, sexual orientation, marital status, protected veteran status, or any other legally protected characteristic.

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