Company
SeniorStatisticalDataScientist
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Statistical Data Scientist. Skills: Statistical Programming, Data Standards, Clinical Trials, SAS/R/Python. Perform statistical programming. Support study/project deliverables”
What You'll Achieve.
supporting deliverables; medium – high complex statistical programming deliverables; high quality programming standards; tasks are completed on time with quality; compliant to the process; milestones and deliverables
Industry & Context.
problem solving; routine and occasionally complex problem solving skills
What They're Looking For.
Must Have
SAS programming, R programming, working knowledge of clinical trials, Understanding of clinical data, drug development process, CDISC standards required, Clinical trials expertise, data operations for reporting clinical trial data, ICH guidelines, regulatory guidelines, working knowledge of clinical data, relevant data standards, work with stakeholders across timezones, tight timelines, written and oral communication skills, time and project management skills, competencies and interests for innovation, problem solving, Proven ability to operate with limited oversight
Nice to Have
Master Degree in Statistics, Master Degree in Computer Sciences, Master Degree in Engineering, Master Degree in Pharmacy, Master Degree in biological sciences, Master Degree in IT, Master Degree in related field, Knowledge of at least 1 Therapeutic Area
What You'll Do.
Perform statistical programming
Support study/project deliverables
Handle programming activities independently
Ensure adherence to programming standards
Complete tasks on time
Collaborate with study teams
Contribute to SDSA initiatives
Review/Develop/Validate datasets
Explore existing code base
Ensure documentation and QC
Understand/Develop/Review requirements
Lead development of standards
Advance job knowledge
How You'll Work.
Team & Collaboration
Collaboration across stakeholders; Work collaboratively with study teams; Collaborating with stakeholders
Communication Scope
written and oral communication skills
Process & Methodology
project management skills
Full Job Description
**Job Summary** * An Individual Contributor role * Productive hands on programming, supporting deliverables in the study/project/portfolio/standards team, of medium – high complex statistical programming deliverables to support assets and study teams * Performs tasks with limited supervision early in role and independently later in role. * Is capable of handling standards/study programming specific activities independently including collaboration across stakeholders at various timezones * Ensures adherence to high quality programming standards in their daily work * Ensure the tasks are completed on time with quality and are compliant to the process at Pfizer with needed guidance. * Work collaboratively with study teams and stakeholders such as clinicians and statisticians on milestones and deliverables. * Active self-learning and delivering on solutions in the space of statistical programming and data standards * Contribute to SDSA initiatives globally and locally. **Job Responsibilities :** * Accountable for their assigned work supporting the standards/study deliverables * Contributes to upto 80% of their time to programming deliverables assigned within the scope of the function in either SAS, R or Python and 20% to self learning, development and growth. * Review/Develop/Validate datasets, TFL as per CDISC aligned Pfizer Standards or Pfizer Data Standards for Study/Project/Portfolio (TA or Study Programming) * Explore the existing code base and execute/perform runs as required, also develop/modify as per the needs and specifications suggested to the standards team as appropriate – (Standards Programming) * Ensures appropriate documentation and QC across the lifespan of the study for all of their programming deliverables across Standards, Programming and Submissions. * Understand/Develop/Review standard/study/project/portfolio requirements, specifications to gain deeper understanding of expectations and programming requirements, by collaborating with stakeholders. *
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