The Senior Statistical Data Scientist is responsible for programming analysis-ready datasets and ensuring quality in deliverables for clinical studies, while collaborating with teams to uphold statistical principles and meet deadlines.
JOB SUMMARY
JOB RESPONSIBILITIES
QUALIFICATIONS / SKILLS
Please apply by sending your CV and a motivational letter 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!
Medical
- A productive, hands on programmer who applies technical knowledge and practical experience to deliver statistical programming deliverables to support assets and study teams with limited supervision early in role and independently later in role.
- Ensures excellence in the programming of analysis ready datasets, tables, listings, and figures for which they are responsible.
- Ensures adherence to high quality statistical data sciences principles, processes and techniques in their daily work.
JOB RESPONSIBILITIES
- Indicate the primary responsibilities critical to the job.
- 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 be programming.
- Ensures appropriate documentation and QC across the lifespan of the study for all of their programming.
- Exhibits routine and occasionally complex problem solving skills, seeking direction when appropriate.
- Works with statisticians and statistical data sciences to ensure clear specifications for their programmed deliverables are in place.
- Will be knowledgeable in core safety standards as well as TA standards pertinent to their project, may aid in development of standards necessary for their study.
- May contribute to department level initiatives.
QUALIFICATIONS / SKILLS
- Bachelor or Master (preferred) Degree in Statistics, Data Sciences, Biological Sciences, IT, or related field.
- At least 3 years relevant experience in a pharmaceutical, biotech, CRO, or Regulatory Agency.
- 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.
- Clinical trials expertise with an understanding of data operations required for the reporting of clinical trial data.
- Good understanding of ICH and regulatory guidelines.
- Working knowledge of clinical data and relevant data standards.
- Strong written and oral communication skills, and project management skills.
- Proven ability to operate with limited oversight.
- Knowledge of at least 1 Therapeutic Area.
- Proven ability to manage delivery under tight timelines.
- CDISC experience desirable.
Please apply by sending your CV and a motivational letter 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!
Medical
Top Skills
AI
Markdown
Ml
Python
R
R Packages
SAS
Shiny Apps
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