Data Scientist Job at Lifelancer, Edinburgh, IN

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  • Lifelancer
  • Edinburgh, IN

Job Description

To succeed in this role you must have a solid background in machine learning strong programming skills and a passion for innovation in the field of bioinformatics and applied this to a novel type of RNA sequencing data. As a key member of their startup team you will have the opportunity to shape the development of both biochemical and bioinformatic technologies contributing to groundbreaking solutions that make a realworld impact.

Data Scientist responsibilities
Data Exploration Feature Engineering: Work with raw data apply preprocessing techniques and extract meaningful features to feed into machine learning models.
  • Algorithm Selection Implementation: Research and implement suitable machine learning algorithms (e.g. decision trees neural networks clustering) based on problem requirements.
  • Model Evaluation Optimisation: Evaluate model performance using appropriate metrics (e.g. accuracy precision recall F1score) and improve model performance through techniques like hyperparameter tuning regularisation and crossvalidation.
  • Production Deployment: Deploy machine learning models into production environments monitor their performance and ensure scalability and reliability.
  • Collaboration: Work with researchers and bioinformaticians to understand project requirements and deliver insights that support research and clinical decisions.
  • Reporting: Present findings through detailed reports visualisations and presentations for both technical and nontechnical audiences.
  • Documentation: Maintain thorough documentation of methodologies experiments and results to ensure reproducibility and knowledge sharing.

Data Scientist requirements
  • Degree level qualification Masters or Ph.D. in Data Science Computer Science Statistics Bioinformatics or a related field.
  • Demonstrated experience in applying machine learning techniques to realworld datasets preferably in healthcare or cancer research.
  • Proficiency in Python and related libraries (e.g. scikitlearn pandas numpy matplotlib seaborn).
  • Experience with deep learning frameworks (e.g. Keras PyTorch).
  • Handson experience working with highdimensional sparse data commonly encountered in fields such as natural language processing (e.g. text data) recommendation systems or sensor networks.
  • Proficiency in handling missing incomplete or sparse data using techniques such as imputation matrix factorization or dimensionality reduction (e.g. PCA SVD)
  • Strong knowledge of machine learning algorithms especially ensemble methods like Random Forests.
  • Ability to handle complex datasets and derive actionable insights.
  • Familiarity with data preprocessing feature engineering and model evaluation techniques.

Lifelancer ( ) is a talenthiring platform in Life Sciences Pharma and IT. The platform connects talent with opportunities in pharma biotech health sciences healthtech data science and IT domains.

Please use the below Lifelancer link for job application and quicker response.

Remote Work :

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