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Data Scientist

Page Group
Posted 3 days ago, valid for 9 hours
Location

Haddington, East Lothian EH41 4LE, Scotland

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • The position is for a Data Scientist at an innovative biotech company focused on developing advanced biosensors for diagnostics and biomarker discovery.
  • Candidates should possess a PhD or MSc in Mathematics, Physics, or a related field, along with strong experience in computational modeling, data analysis, and machine learning techniques.
  • Proficiency in programming languages such as Python, R, or MATLAB, as well as experience with multivariate analysis techniques and predictive machine learning algorithms, is required.
  • The role is site-based in the central belt of Scotland, and the salary is competitive, reflecting experience and qualifications.
  • Experience with biomedical data science or bioinformatics is desired but not essential, making this a great opportunity for those looking to advance in the biotech field.

You will utilise your experience to analyse complex data sets,develop computational models, and build machine learning algorithms to support with the development of novel diagnostic platforms.

Client Details

The client are an innovative biotech developing cutting-edge biosensors for use in diagnostics and biomarker discovery applications.

Description

As a Data Scientist you will:

  • Develop computational models to analyse correlation between test data and performance, supporting with optimisation of products
  • Support the development of a MySQL-based engineering database, integrating real-time sensor and assay performance data
  • Implement multivariate computational models (e.g., Principal Component Analysis (PCA), Partial Least Squares (PLS)) to identify key measurement variables within complex electrochemical datasets.
  • Develop non-linear regression models to improve the accuracy of immunoassay data analysis.
  • Apply machine learning techniques, including Random Forest and neural networks, to classify sample types based on electrochemical measurements, supporting biomarker discovery
  • Design and optimise predictive models to identify novel biomarker panels, combining healthcare data and biomarker signatures.
  • Develop AI-driven classification models to differentiate between patient sub-types based on electrochemical sensor outputs.

The role is site-based in the central belt of Scotland

Profile

To be successful in the role you will:

  • PhD or MSc in Mathematics, Physics or related field
  • Strong experience in computational modelling, data analysis, and machine learning techniques.
  • Proficiency in Python, R, MATLAB, or other statistical programming languages.
  • Knowledge of multivariate analysis techniques (e.g., PCA, PLS) and non-linear regression models.
  • Experience developing predictive machine learning algorithms (e.g., Random Forest, Neural Networks).
  • Proficiency in SQL (preferably MySQL) and database management for engineering data storage
  • Experience working with biomedical data science, bioinformatics or diagnostics is desired but not essential

Job Offer

This is a fantastic opportunity to join an innovative and growing biotech developing cutting-edge technology.

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.