This listing was posted on Manatal ATS.
Data Scientist
Location:
Edinburgh, Edinburgh
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 start-up team, you will have the opportunity to shape the development of both biochemical and bioinformatic technologies, contributing to ground-breaking solutions that make a real-world 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, F1-score) and improve model performance through techniques like hyperparameter tuning, regularisation, and cross-validation. 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 non-technical 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 real-world datasets, preferably in healthcare or cancer research. Proficiency in Python and related libraries (e.g., scikit-learn, pandas, numpy, matplotlib, seaborn). Experience with deep learning frameworks (e.g., Keras, PyTorch). 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, 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 ( https://lifelancer.com ) is a talent-hiring 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. https://lifelancer.com/jobs/view/524da35c52e7661c2b5ccbaac1c01451
Company:
Lifelancer
Posted:
September 10 on Manatal ATS
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