Job Location: Lexington, MA
*** Possible locations are Lexington, MA and Seattle, WA***
The Position
The Lead Data Scientist will contribute to the research team’s effort towards exploring and creating new technology and being a world leader in data science within our fields. The Data Scientist II will bring elements of data collection, preparation, and engineering as well as software engineering in a data science context. Moreover, the Lead Scienitist will drive the development and validation of Artificial Intelligence/Machine Learning (AI/ML) algorithms and models, and work closely with other engineers to build AI/ML-fueled products.
Relationships
The Lead Data Scientist reports to the head of the related research area. Internal partners include data scientists, specialists, engineers, software developers, technology scouts & partnership developers, system engineers, designers, anthropologists, medical doctors, IT professionals, and others across US and Denmark.
External relationships include commercial and academic collaboration partners.
Essential Functions
- Scientific work
- Develop and validate algorithms based various AI/ML approaches.
- Implement and maintain local and cloud-based data and computational environments and platforms and help to integrate data from different sources
- Perform data pipelines (data acquisition, preparation, cleaning, and consolidation) as an integral part of data science activity
- Develop web applications to visualize how AI/ML works which may include a complex data visualization as an integral part of data science activity
- Collaborate with other Data Scientists, as well as engineers and/or scientists from other disciplines to complete daily tasks
- Collaborate with other data scientists to design, code, train, test, deploy, and iterate on machine learning systems
- Occasionally demonstrates initiative in identifying and addressing unmet patient needs using data
- Collaborative teamwork
- Actively participates in cross-functional teams to develop AI and ML solutions
- Actively participates in virtual global team meetings regularly
- Achieves business goals, shares learnings, knowledge and skills and promotes cross-functional teamwork
- Occasionally collaborate with external partners
- Prepare and present written and oral reports and proposals to peers and management
Qualifications
- Bachelor’s degree required. Master’s degree preferred. Degree within within computer science, mathematics, engineering, physics, statistics, or a related quantitative discipline is preferred
- A Bachelor’s degree with 8+ years’ relevant experience required or Master’s Degree with 5+ years’ relevant experience or a PhD with 4+ years can be considered
- Proven exposure to wearable digital data
- Relevant experience includes 1) Experience with software development which includes writing high quality code processing data using Python, R, or Matlab, 2) Ability to develop and validate algorithms against clinical data, ensuring appropriateness of fit for data science processes, 3) Experience with with modern data science approaches including unsupervised and supervised classification and regression algorithms such as k-means clustering, support vector machines, random forests, neural networks and deep learning. May also have expertise in statistical modeling or broader applied mathematics such as optimization theory, 4) Ability to perform in-depth data analysis and present results and conclusions to engineering and leadership teams
Preferred experience
- Experience with containerization and standard cloud services such as AWS S3, EC2, and Lamba Function
- Experience in data management, database management system, and familiarity with NoSQL and/or Graph database
- Experience in pharmaceutical industry, healthcare industry, regulated medical device development or in another regulated field
- Excellent written and oral communication skills
- Detail oriented with strong documentation skills
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