Senior Data Scientist

4 weeks ago

Boston, Massachusetts, United States TechStarsGroup Full time
Job Summary

We are seeking a highly skilled Senior Data Scientist to join our Clinical Data Science team at TechStarsGroup. 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.

Key Responsibilities:

  • Lead data science projects related to digital biomarker discovery and patient behavior prediction.
  • Develop and implement high-quality code for digital biomarker analysis and inference models as application programming interfaces.
  • Conduct exploratory data analysis, statistical testing, and develop inference models to measure and validate novel digital biomarkers related to disease and behavior.
  • Create machine learning and statistical models to predict patient behavior, utilizing complex, high-dimensional data.
  • Engage in the assessment and implementation of computational and predictive analytics strategies to tackle research questions.
  • Define the experimental design and research scope, including data requirements, methodology, analysis, and validation strategies.
  • Manage experimental plans, analyze results, and report findings to leadership.
  • Produce data visualizations for a variety of data types, including complex digital biomarker data and model performance metrics.
  • Establish data quality metrics and conduct thorough data quality assessments.
  • Work closely with the applications research team to translate digital biomarkers and models into practical product applications.
  • Design and oversee continuous validation processes for systems incorporating digital biomarkers and predictive models.
  • Mentor junior staff and supervise student interns.
  • Communicate results to a broad audience, including clinical professionals, technical experts, and non-specialists.
  • Oversee client project portfolios, ensuring clear and effective communication across multiple initiatives.
  • Contribute to scientific publications, author abstracts, and present findings at professional gatherings.

Requirements:

  • Masters degree, PhD, or equivalent in data science, machine learning, statistics, mathematics, informatics, or a related field.
  • At least 3 years of experience in complex data science, applied statistics, or machine learning projects.
  • Proficiency in Python for model development, including experience building Python libraries.
  • Familiarity with cloud computing environments such as Amazon Web Services (AWS) or Google Cloud Platform (GCP).
  • Skilled in developing and validating machine learning models with standard algorithms (e.g., random forest, logistic regression, support vector machines).
  • Experience with statistical analysis and machine learning libraries (e.g., ScikitLearn, R).
  • Knowledge of statistical analysis methods.
  • Proficiency in ETL processes and SQL for data transformation.
  • Excellent communication skills, capable of explaining technical concepts to non-technical audiences.
  • Experience in scientific and technical writing.
  • A strong passion for science, research, and innovation in a team-based setting.

Preferred Qualifications:

  • Experience with deep learning libraries such as PyTorch or TensorFlow is highly desirable.

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