Principal Data Scientist

Job Description

At Biogen Digital Health (BDH), we aspire to transform Biogen and patients’ lives by making personalized & digital medicine in neuroscience a reality. Powered by data-science and digital technologies, we drive solutions to advance research, clinical care, and patient empowerment. Our team strives for real impact through excellence, innovation, and collaboration.

We have an exciting new opportunity for a Real World Evidence (RWE) Principal Data Scientist to join our team in Cambridge, MA. You’ll be part of the Machine Learning and Artificial Intelligence (MLAI) team in Personalized Health Research, Analytics and Solutions(PHRAS). In this role, you’ll be responsible for providing MLAI support and guidance on digital data collected from sensors/digital devices/cell phones and may serve as the responsible RWE digital data analysis expert on several RWE projects in different indications.

• Support cross-function teams in PHRAS on digital data processing and analysis using signal processing and MLAI methods
• Implement and develop digital data processing and analysis algorithms using cutting-edge deep learning techniques, such as RNN, CNN
• Provide consultation and technical support on MLAI, especially on digital data analysis, to internal and external teams required by PHARS business
• Recommend and validate novel MLAI techniques appropriate for digital data
• Support research and publications within cross-functional teams and participate in writing and crafting relevant sections
• Provide training on technical aspects of MLAI as well as its coding/implementation
• Provide technical input on assessment of vendor capabilities
• Provide strategic thinking on ways that MLAI can be utilized to maximize the impact on patient care

You combine strategic thinking and scientific rigor with exceptional execution, and you strive for excellence in all that you do. You are passionately committed to making a difference in patients’ lives, and you foster a culture of trust and empowerment that encourages openness, ideation, failing forward, and experimentation. You think big, start small, scale fast, and you know that magic happens through diversity of thought, expertise, culture, and background.

Qualifications

• Solid understanding of Machine Learning, Deep Learning and Artificial Intelligence technologies
• Solid background in digital signal processing (sampling, filtering, frequency-domain transforms, etc.)
• Experience applying latest MLAI techniques in digital data processing and analysis
• Working knowledge of implementing and coding RNN-type of models, such as LSTM, GRU, encoder
• Strong programming experience in Python/Matlab
• Technical fluency; comfortable understanding and discussing architectural concepts and algorithms, assessing tradeoffs and new opportunities with technical team members
• Experience with cloud computing environments (AWS, Azure, Google cloud, Databricks)
• Ability to work independently on routine assignments and under little supervision on new assignments.
• Excellent written and verbal communication skills and ability to communicate effectively to both technical and non-technical audience

PhD in Signal processing, Computer Science, Electronic Engineering, Statistics, Physics or equivalent. At least three years’ experience. Candidates with less experience but very strong background will also be considered.

Additional Information

You will join an international, diverse team of 100+ talented humans who are passionate about making our vision a reality. Our team at Biogen Digital Health rejects the status quo and lives by agile principles. You’ll work directly with an outstanding team of neuroscientists, clinicians, data scientists, biostatisticians, digital product managers, user experience designers, and engineers that work across disciplines to make a lasting impact for patients.