Data Scientist

Bisso Technologies, LLC
yesterday

Role details

Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Remote

Tech stack

Data Structures
Data Visualization
R
Python
Machine Learning
Cloud Platform System
Data Analytics

Job description

We are looking for a Data Scientist to work on projects focused on developing predictive models for treatment outcomes in clinical trials. You will work with harmonized data from multiple RCTs, building and validating machine learning models, with direct impact on future trial design and clinical decision-making., * Develop predictive models for treatment outcomes.

  • Build and validate machine learning models using clinical trial data.
  • Analyze harmonized data from multiple RCTs.
  • Support trial design and clinical decision-making through data insights.
  • Collaborate with cross-functional teams to enhance data-driven approaches.

Requirements

  • Experience working with healthcare data (clinical trials or RWE), including familiarity with standard data structures and common data quality challenges.
  • Strong foundation in both statistical modeling and machine learning approaches (e.g., regression, classification, regularization, ensemble methods).
  • Understanding of RCT methodology, causal inference, and treatment effect estimation.
  • Experience working with longitudinal and time-series data, including handling of missing data and irregular observation schedules.
  • Proficiency in Python and/or R and experience working in cloud-based data platforms.
  • Strong communication skills and ability to translate complex analytical findings for both technical and non-technical audiences.
  • A PhD with 1+ year of relevant experience or a Master's with 3+ years of relevant experience.
  • Prior experience in pharmaceutical drug development, health economics, or related life sciences fields.

Nice to Have:

  • Experience building interactive dashboards and data visualization tools (e.g., R Shiny).

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