Senior Data Scientist

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

ROLE SUMMARY

The Senior Data Scientist partners closely with Digital Medicine & 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

 
QUALIFICATIONS 
Training & Education

• BS in Biomedical Engineering, Electrical Engineering, Computer Science, or a similar technical field with 5+ years of experience with physiological sensor data processing and analysis; OR
• MS with 3+ years of professional experience preferred

Skills

• Strong background in data science, statistics, signal processing and machine learning
• Proficient in Python, R or MATLAB
• Experience with Python packages: NumPy, Matplotlib, pandas
• 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, kanban boards
• 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
• Experience working in medical technology or pharmaceutical industries
• Excellent communication (written and verbal) and presentation skills
• Strong publication record

PHYSICAL/MENTAL REQUIREMENTS

Ability to perform mathematical calculations

Ability to perform complex data analysis

OTHER JOB DETAILS

Eligible for Relocation Package

Eligible for Employee Referral Bonus

#LI-PFE

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.