2 Schedules Available: Standard 40 hours per week and Part-Time 20 hours per week
Summary:
This role is accountable for delivering data science-driven support for the oncology franchise and will work in the RWE team of Evidence Generation Platform, and partner with cross functions to generate real-world evidence (RWE) and real-world insights to drive strategic priorities of oncology assets.
Responsibilities:
Provide support for the development of concept proposals, protocols, and statistical analysis plans
Conduct various analytic tasks including data query, feasibility assessment, internal insight generation, and formal RWE studies
Collaborate with the study team to establish effective timelines for the completion of milestones and delivery of studies
Help identify fit-for-purpose RWD to address research questions
Provide support for data dissemination including data visualization, presentations, and publications
Qualifications:
Master's degree in epidemiology or statistics with a minimum of 4+ years of relevant RWD/RWE experience in the pharma industry or consulting business
Well-grounded in the fundamentals of epidemiology, data analytics, statistics, and programming
Experience in pharma
Experience in oncology
Experience with RWD
Proven experience using real-world data sources including EHR, claims, registry, and patient-reported outcomes
Working knowledge of relational databases, including SQL, and large-scale distributed systems such as Hadoop and or working in Snowflake
Ability to implement data science principles and applications in a general programming language such as SAS, R, Python, or SQL.
Well-versed with and have experience applying various statistical methodologies including time-to-event analysis, multivariate analysis, propensity score or IPTW, etc.
Experience with innovative study design or advanced analytical approaches preferred, eg, external control arm, hybrid trial design, quantitative bias analysis, machine learning, etc
Ability to handle multiple assignments with varying deadlines while maintaining a high degree of accuracy
Demonstrated excellent communication skills and ability to work collaboratively in a fast-paced matrix environment
Rate/Location:
$29-$34/hr
This is a fully remote position with preference to candidates local to Collegeville, PA
Please note contractors are engaged to provide services to Pfizer on a temporary basis in connection with a specific assignment. Contractors are hired and employed through Atrium, our third-party payrolling partner.
This job posting is for a temporary role as an employee of Atrium on assignment at Pfizer. The individual selected for this role will be offered the role as an employee of Atrium; compensation, medical benefits, fringe benefits, and other terms and conditions of employment shall be presented by Atrium upon offer. The pay rate range provided is a reasonable estimate of the anticipated compensation range for this job at the time of posting. The actual pay rate will be based on a number of factors, including skills, competencies, experience, location and/or being pursued, and other job-related factors permitted by law. In addition, this role will be eligible for overtime pay, in accordance with federal and state requirements. #J-18808-Ljbffr

WHY PATIENTS NEED YOU Pfizer’s purpose is to deliver breakthroughs that change patients’ lives. Research and Development is at the heart of fulfilling Pfizer’s purpose as we work to translate advanced science and technologies into the therapies and vaccines that matter most. Whether you are in the discovery sciences, ensuring drug safety and efficacy or supporting clinical trials, you will apply cutting edge design and process development capabilities to accelerate and bring the best in class medicines to patients around the world. Position Summary You are responsible to assist Pfizer’s 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. Key Responsibilities 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 POC’s 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. Minimum Qualifications Bachelor’s 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 situation
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 total experience with Clinical data, SQL, and Analytics.
Demonstrated experience with Python and/or R, SAS and Machine Learning models implementation
SQL experience with relational databases like Postgres or Oracle or Microsoft.
Prior experience working with Clinical Trials data in large or midsize companies preferred.
Be able to manage multiple tasks simultaneously and react to problems quickly.
Must have solid theoretical understanding of classical machine learning as well as Deep Learning methods, NLP and Knowledge Graphs
Must be a team player, with good listening abilities, self-motivated and demonstrate results. Preferred Qualiifications Experience in management of medical and clinical study records and documentation
Prior working experience with teams spread across different time zones is a plus. Work Location Assignment: On Premise The annual base salary for this position ranges from $64,600.00 to $107,600.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 7.5% of the base salary. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. 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 provider’s 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. This position requires permanent work authorization in the United States. Medical
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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, Data Scientist, Associate, Data Science, Scientist, Clinical, Technology, Business

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