Posted on: January 18, 2020
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
- 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
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
Keywords: AbbVie, Sunnyvale , Senior Biostatistician, Other , Sunnyvale, California
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