Senior Data Scientist

4 days ago

Boston, Massachusetts, United States TechStarsGroup Full time

{"h1": "Senior Data Scientist", "p": "At TechStarsGroup, we are seeking a highly skilled Senior Data Scientist to join our Clinical Data Science team. As a key member of our team, you will play a pivotal role in providing programming, advanced statistical, and machine learning expertise to support research initiatives focused on digital biomarkers and predictive model development within our innovative technology platform.", "ul": [{"li": "Lead data science projects related to digital biomarker discovery and patient behavior prediction"}, {"li": "Develop and implement high-quality code for digital biomarker analysis and inference models as application programming interfaces"}, {"li": "Conduct exploratory data analysis, statistical testing, and develop inference models to measure and validate novel digital biomarkers related to disease and behavior"}, {"li": "Create machine learning and statistical models to predict patient behavior, utilizing complex, high-dimensional data"}, {"li": "Engage in the assessment and implementation of computational and predictive analytics strategies to tackle research questions"}, {"li": "Play a key role in defining the experimental design and research scope, including data requirements, methodology, analysis, and validation strategies"}, {"li": "Independently manage experimental plans, analyze results, and report findings to leadership"}, {"li": "Produce data visualizations for a variety of data types, including complex digital biomarker data and model performance metrics"}, {"li": "Establish data quality metrics and conduct thorough data quality assessments"}, {"li": "Work closely with the applications research team to translate digital biomarkers and models into practical product applications"}, {"li": "Design and oversee continuous validation processes for systems incorporating digital biomarkers and predictive models"}, {"li": "Mentor junior staff and supervise student interns"}, {"li": "Communicate results to a broad audience, including clinical professionals, technical experts, and non-specialists"}, {"li": "Oversee client project portfolios, ensuring clear and effective communication across multiple initiatives"}, {"li": "Contribute to scientific publications, author abstracts, and present findings at professional gatherings"}], "h2": "Requirements", "ul": [{"li": "Masters degree, PhD, or equivalent in data science, machine learning, statistics, mathematics, informatics, or a related field"}, {"li": "At least 3 years of experience in complex data science, applied statistics, or machine learning projects"}, {"li": "Proficiency in Python for model development, including experience building Python libraries"}, {"li": "Familiarity with cloud computing environments such as Amazon Web Services (AWS) or Google Cloud Platform (GCP)"}, {"li": "Skilled in developing and validating machine learning models with standard algorithms (e.g., random forest, logistic regression, support vector machines)"}, {"li": "Experience with statistical analysis and machine learning libraries (e.g., ScikitLearn, R)"}, {"li": "Knowledge of statistical analysis methods"}, {"li": "Proficiency in ETL processes and SQL for data transformation"}, {"li": "Excellent communication skills, capable of explaining technical concepts to non-technical audiences"}, {"li": "Experience in scientific and technical writing"}, {"li": "A strong passion for science, research, and innovation in a team-based setting"}], "h3": "Preferred Qualifications", "ul": [{"li": "Experience with deep learning libraries such as PyTorch or TensorFlow is highly desirable"}]}

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