Pfizer | Senior Data Scientist, Digital Sciences and Translational Imaging Quantitative Sciences, Early Clinical Development | Cambridge, MA | United States | BigDataKB.com | 13 Oct 2022

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Job Location: Cambridge, MA

ROLE SUMMARY
The Senior Data Scientist partners closely with Digital Sciences & Translational Imaging scientific and clinical team members, applying technical, software development and analytics knowledge to support the research, development, and deployment of novel digital biomarkers into clinical trials. The successful candidate will inform the selection of sensors and devices, write code to ingest data from these devices, implement the analytics pipelines for combining data from multiple sources, and develop novel digital biomarkers by using advanced signal processing and machine learning techniques. S/he will also provide subject matter expertise (SME) to help advance the research and development of novel digital endpoints and manage the data processing efforts for analytical and clinical validations in collaboration with internal as well as external partners.
ROLE RESPONSIBILITIES
  • Use structured and unstructured data to develop digital biomarkers by implementing novel signal processing and machine learning workflows
  • Participate in study design to ensure data meets modeling needs
  • Prepare, clean, and filter sensor and clinical data for processing
  • Design and build digital endpoint pipelines, implement new algorithms, as well as enhance existing algorithms
  • Evaluate algorithm performance and lead verification and validation testing
  • Supports algorithm specification documents as well regulatory submissions
  • Collaborate with partners in Pfizer Digital to translate algorithm code and insights into product assets
  • Develop software tools and scripts at scale to support data analysis and interpretation pipelines
  • Integrate and summarize large-scale data and information across multiple scientific, translational, and clinical domains
  • Communicate effectively with team members, external experts, and regulatory authorities
BASIC QUALIFICATIONS
Training & Education
  • MS in Biomedical Engineering, Electrical Engineering, Computer Science, or a similar technical field with 3+ years of professional experience preferred, or PhD with relevant research experience
Skills
  • Strong background in data science, statistics, signal processing and machine learning
  • Proficient in Python, R or MATLAB
  • Experience with Python packages: scikit-learn, pandas, pytorch
  • Advanced working knowledge of AWS tools and services for data science and big data, e.g., ECS, EMR, Lambda, Kinesis, SageMaker
  • Familiarity in setting up and using agile software development, and source control tools, e.g., git
  • Broad expertise in analyzing physiological sensor signals from sensors and wearable devices, time and frequency domain signal processing, e.g., accelerometer, gyroscope, ECG, CGM, voice
  • Knowledge and experience of time series analysis methodologies such as Fourier or wavelet transforms
  • Knowledge of machine learning and deep learning methods
  • Experience working in medical technology or pharmaceutical industries
  • Excellent communication (written and verbal) and presentation skills
  • Strong publication record
#LI-PFE
PHYSICAL/MENTAL REQUIREMENTS
Ability to perform mathematical calculations and ability to perform complex data analysis
NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS
Relocation support available
Work location: Onsite
Relocation assistance may be available based on business needs and/or eligibility.
Pfizer requires all U.S. new hires to be fully vaccinated for COVID-19 prior to the first date of employment. As required by applicable law, Pfizer will consider requests for Reasonable Accommodations.
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.

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