-
ID
#6182819 -
Job type
Contract -
Salary
TBD -
Source
Softworld, Inc. -
Date
2020-11-28 -
Deadline
2021-01-27
Sr/Principal Data Scientist
Massachusetts, Boston, 02117 Boston USAContract
Vacancy expired!
- Understanding and effectively working with a wide variety of data sources, such as wearable device data (for example accelerometry and ECG), voice recordings, imaging data, electronic health records or social media postings.
- Applying data science methodologies as needed for various projects and data types. Projects will require advanced analytical and statistical methods, such as statistical inference and modern methods for machine learning and AI.
- Identifying and applying state-of-the-art data manipulation and analysis tools, in various programming languages, to develop bespoke analysis pipelines.
- Independently designing studies, ranging from simple to more complex, and supporting all aspects of projects from data wrangling through to machine learning and statistical analysis
- Independently represent data science function on global project teams in support of pre-clincial and clinical studies and compound level programs.
- Play a leadership role in the development and review of the study synopsis, protocol, statistical analysis plan, clinical study report, ensuring accurate and statistically valid deliverables.
- Perform end-to-end data analyses, from hypotheses formulation, experimental design, writing analysis plans, data cleaning, executing analysis, and preparing reports and documentation.
- Develop and support best data handling and data provenance practices utilizing reproducible, interpretable research approaches
- Work closely with statisticians to ensure statistical issues in data analysis are addressed as needed.
- Education in a relevant field, for example a) PhD in a field such as Biostatistics, Physics, Electrical Engineering, Biomedical Engineering, Computer Science, Applied Mathematics with at least 6 years of experience and a clear interest in data science methods, or b) Master's degree with at least 9 years of relevant experience
- Expert-level knowledge of data science programming languages (Python and R, or similar) and experience with recommended practices for software development.
- Significant depth of expertise in at least one field relevant to the job (for example, machine learning, signal processing, etc.) and strong background in both supervised and unsupervised machine learning.
- Ability to work independently on complicated datasets, including all aspects of data analysis (data cleaning, algorithm development, statistical analysis, and documentation).
- Strongly prefer a working knowledge of UNIX operating systems, ideally with experience in high-performance computing environments.
Vacancy expired!
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