Data Scientist

4 days ago

Edinburgh, Edinburgh, United Kingdom Lifelancer Ltd Full time

To excel in this role at Lifelancer Ltd, you must possess a strong foundation in machine learning, proficiency in programming languages, and a passion for innovation in the field of bioinformatics, particularly in the application of novel RNA sequencing data.

Data Scientist Responsibilities
  • Data Exploration and Feature Engineering: Collaborate with raw data, apply preprocessing techniques, and extract meaningful features to feed into machine learning models.
  • Algorithm Selection and Implementation: Research and implement suitable machine learning algorithms (e.g., decision trees, neural networks, clustering) based on problem requirements.
  • 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.
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 real-world datasets, preferably in healthcare or cancer research.
  • Proficiency in Python and related libraries (e.g., NumPy, pandas).
  • Hands-on experience working with high-dimensional, 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).
  • Strong knowledge of machine learning algorithms, especially ensemble methods like Random Forests.
  • Familiarity with data preprocessing, feature engineering, and model evaluation techniques.

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