The Statistical Data Sciences Lead oversees statistical programming deliverables, manages projects and teams, ensures quality in clinical reporting, acts as a mentor, and contributes to global initiatives.
- At least 7-8 years relevant experience in a pharmaceutical, biotech, CRO, or Regulatory Agency.
- Accountable for multiple projects/ongoing work activities (timelines, work plans, deliverables) of moderate complexity within a Work Team
- Contributes to upto 70% of their time to programming deliverables assigned within the scope of the function in either SAS, R or Python,10% to resourcing, project/people management and 20% to self learning, development and growth.
- Will deliver through combination of oversight of vendors/offshore support as well as through hands on programming
- Works with department leadership and project teams to establish strategy, timelines, and resourcing of statistical programming and analysis deliverables for their study(ies).
- Accountable for the quality and timely delivery of datasets and displays required for their clinical study reports as well as other asset level deliverables they may contribute to under the leadership of the asset lead.
- Ensures appropriate documentation and QC across the lifespan of the study for all programming deliverables and verifies proper Trial Master File filings when appropriate.
- Understand/Implement standard/study/project/portfolio requirements and specification and work with global stakeholders in ensuring completion of project/study/deliverable goals and milestones
- Ensures planning is in place for all programmed deliverables including consideration of special data types and downstream uses of data
- Responsible for all deliverables within the project, responsible for assisting the Senior Manager in performance reviews and appraisals and for suggesting career development plans for the team members.
- Also SME's and leads of initiative at global levels, contributing to global initiatives and projects such as Submission Specialists, Application Manager etc.
- Works with statisticians, programming resources and other colleagues as appropriate to ensure clear specifications for programmed deliverables are in place.
- Will be knowledgeable in core safety standards as well as Therapeutic Area standards pertinent to their project, may aid in development of standards necessary for their study.
- Will contribute to department level initiatives.
- Acts as mentor to junior team members
- Advances job knowledge to next level by participating/contributing in/to opportunities both globally and locally.
- Proactive at communicating potential issues to upper management
- Anticipates and solves routine problems, while developing the ability to solve complex problems using skills based on experience and extrapolation to new situations
- Able to understand business problems and convert it to a analytical problem and solve it using programming and data science algorithms.
- Able to guide the team on any technical front in programming, modeling and business aspects of the projects.
Work Location Assignment: Hybrid
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
Medical
Top Skills
Python
R
SAS
Similar Jobs at Pfizer
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Lead the architecture and engineering of the Snowflake environment, support application developers, mentor junior engineers, and collaborate with various stakeholders to enhance data strategies at Pfizer.
Top Skills:
Apache AirflowAWSAzureCi/CdConfluenceDbtDevOpsGCPJIRAMatillionMs O365Power BIPythonSnowflake Data CloudSQLTableau
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
The role involves programming support for statistical analysis, collaborating with various stakeholders, adhering to programming standards, and contributing to development initiatives while ensuring quality and compliance.
Top Skills:
PythonRSAS
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
The DevOps Engineer will design and build solutions to automate workflows, manage CI/CD pipelines, and integrate security practices throughout the software lifecycle.
Top Skills:
AWSCloudFormationDastDockerIastKubernetesSastTerraform
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
