Data Scientist
Cambridge, England, United Kingdom
GBP 55K-55K (estimate) Mid-level Full Time
Tasks
- Analyze complex clinical data
- Apply model evaluation and validation
- Build data processing pipelines
- Communicate findings to stakeholders
- Conduct survival analysis
- Contribute to scientific manuscripts and posters
- Create data visualization tools
- Design clinical study design
- Develop machine learning workflows
- Develop regression models
- Develop statistical models
- Implement clustering
- Implement predictive modeling
- Perform clinical trial analysis
- Perform data preprocessing and feature engineering
- Prepare analysis reports and presentations
- Train supervised machine learning models
- Train unsupervised machine learning models
Perks/Benefits
- Annual leave
- Bank holidays
- Contributory pension scheme
- Enhanced maternity leave
- Life insurance
- Private medical insurance
Skills/Tech-stack
AUC | Calibration | Classification | Clustering | Cox Regression | Cross-validation | Data Preprocessing | Data Visualization | Data Wrangling | Data cleaning | Feature Engineering | Feature Selection | Git | Hypothesis Testing | Jupyter | Kaplan-Meier | L1 | L2 | Linear Regression | Logistic Regression | Matplotlib | Mixed-effects | Mixed-effects models | Model Evaluation | NumPy | Pandas | Plotly | Power analysis | Precisión | Predictive Modeling | Python | Recall | Regularization | Sample Size | Sample Size Calculation | SciPy | Scikit-learn | Seaborn | Supervised Learning | Survival analysis | Unsupervised Learning
Education
N/A
Roles
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