JOB SUMMARY

A highly productive, independent statistical data sciences lead ensuring excellence in the delivery of analysis ready datasets, analysis results, and displays such as tables, listings, and figures to advance research, development, and commercialization of the Pfizer portfolio following Pfizer SOPs and processes.
Ensures adherence to high quality statistical data sciences principles, processes and techniques in the production of clinical reports.
This role is the statistical data sciences point of contact at the study level, and will support at the asset/submission level.

JOB RESPONSIBILITIES

Will deliver through combination of oversight of in-house statistical data scientists / vendors / offshore support as well as through hands on application of statistical data sciences techniques (e.g., use of tools such as SAS, R, and Python to process clinical trial data and big data sources such as Real World Evidence to inform decision making).
Works with department leadership and project teams to establish strategy, timelines, and resourcing of deliverables for their study(ies).
Accountable for the quality and timely delivery of datasets, analysis results 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 across the lifespan of the study for deliverables and verifies proper Trial Master File filings when appropriate.
Ensures planning is in place for all deliverables including consideration of special data types and downstream uses of data.
Works with statisticians, statistical data science resources and other colleagues as appropriate to ensure clear specifications for deliverables are in place.
Will be knowledgeable in core safety standards as well as Therapeutic Area standards or Industry data standards for unique data types pertinent to their project. May aid in development of standards necessary for their study or asset.
Will contribute to department level initiatives.
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.
Supervises and supports a team, fostering collaboration and continuous improvement.

QUALIFICATIONS / SKILLS

Bachelor’s or Master’s (preferred) Degree in Statistics, Data Sciences, Biological Sciences, IT, or related field.
At least 5 years relevant experience in a pharmaceutical, biotech, CRO, or Regulatory Agency.
Clinical trials expertise with a thorough understanding of data operations required for the reporting of clinical trial data.
Good understanding of ICH and Regulatory Guidelines including submission requirements and data conformance (e.g., Pinnacle21).
Statistical Programming and SAS, R, or Python hands-on experience.
Familiarity with R packages, Shiny Apps, Markdown reports and other associated data science and data analytics tools and AI/ML highly desired.
Experience with Real World Evidence and other big data sources and associated standards (e.g.OMOP, JSON, ODHSI ) in support of regulatory filings desired.
Active participation in relevant industry groups (e.g., PHUSE, CDISC, IHD).
Routine problem solving skills, developing the ability to solve complex problems using skills based on experience and extrapolation to new situations.
Thorough understanding of clinical data and relevant data standards (e.g., CDISC).
Extensive knowledge of routine statistical methodology and its application to statistical data sciences.
Knowledge of vendor processes.
Demonstrated experience in developing successful partnerships within study teams.
Strong written and oral communication skills, and project management skills.
Ability to present technical information to a non-technical audience.
Proven ability to operate independently.
Some exposure working across international boundaries and cultures.
Ability to manage customer expectations.
Ability to manage work of others in a remote and/or global setting.

Please apply by sending your CV in English.

Work Location Assignment: Hybrid

Purpose

Breakthroughs that change patients' lives... At Pfizer we are a patient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives.

Digital Transformation Strategy

One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience.

Flexibility

We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self. Let’s start the conversation!

Equal Employment Opportunity

We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms – allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees.

Disability Inclusion

Our mission is unleashing the power of all our people and we are proud to be a disability inclusive employer, ensuring equal employment opportunities for all candidates. We encourage you to put your best self forward with the knowledge and trust that we will make any reasonable adjustments to support your application and future career. Your journey with Pfizer starts here!

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Manager, Statistical Data Sciences Lead