Job Description

The Associate Data Scientist is responsible to assist Pfizers Data Management staff to leverage both internal and external data assets to deliver business insights, implement automation and Artificial Intelligence (AI) methods by collaborating with cross-functional teams within the organization with an overall goal of enhancing tactical and strategic decision making.

This role requires a good understanding of technical and business aspects of Data Science, Clinical Trial data, and Data Management. Exposure to Artificial Intelligence (AI) tools and techniques is a plus. Must be able to understand the analytical needs of business users, to translate the business needs into automation solutions. Requires full Data Science life cycle development experience, including data discovery, labelling the data, working with tech team(s) to create hypothesis, assist in selecting models, test and evaluate models and model operationalization. Should have a strong understanding of relational databases and Clinical Trial data to facilitate data wrangling, model operationalization, and exploration of data. Responsible for adhering to corporate reporting policy and controls to ensure the accuracy, timeliness and confidentiality of Data Management automation.

Data scientist must be able to drive tangible business value working under the direction of Lead for AI and Data Sciences by collaborating with Data Managers, Clinical Data Scientists, Client Partners and Information Management colleagues and external vendors.

ROLE RESPONSIBILITIES

General:

* Assist the manager implement global strategies, initiatives, processes, and standards to ensure consistent, efficient, and quality Data Science processes to meet expected quality, timelines and deliverables.
* Run SQL queries to extract Operational, Clinical data and Specifications from various information systems.
* Able to independently assess and analyze data quality, understand business processes and how they impact data quality, prepare data including labelling of data for Machine Learning experiments.
* Able to pilot and build POCs to demonstrate and test business value of Machine Learning models, understand Model metrics, iteratively improve Model performance working with tech leads and vendors.
* Analyze, interpret, and summarize Machine Learning model results.
* Operationalize and maintain the models.
* Develop presentations and trainings for business users to increase understanding of AI, Data Science and automation within Data Management.

Qualifications

BASIC QUALIFICATIONS

* Bachelors degree or above or equivalent experience in a scientific or business related discipline required; Degree in Informatics, or Computer science, or Statistics, or related business degree with equivalent experience preferred.
* Works independently, receives instruction primarily on unusual situations.
* Ability to organize tasks, time and priorities; ability to multi-task.
* Ability to communicate with internal & external stakeholders, locally and globally.
* At least one to two years of experience with Clinical data, SQL, and Analytics.

PREFERRED QUALIFICATIONS

* Demonstrated experience with Python and/or R, SAS and Machine Learning models implementation.
* SQL experience with relational databases like Postgres or Oracle or Microsoft.

Other Job Details:

* Last Date to Apply for Job: March 22nd
* Eligible for Employee Referral Bonus: YES

Sunshine Act

Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care providers name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.

EEO & Employment Eligibility

Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer.

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