Machine Learning Bioinformatics

Job Title: AI/ML Bioinformatician

Location: Oxford, UK with hybrid working

Job Type: Full-Time

About Oxford BioTherapeutics

Oxford BioTherapeutics (OBT) is a clinical stage oncology company with a pipeline of antibody-drug conjugate and immune oncology-based therapies. Discovery of novel tumour antigens and immune cell surface proteins using proteomics is a keystone of OBT’s research and is performed using the proprietary Oxford Genome Anatomy Project (OGAP®) database. OBT currently has one ADC in clinical trials. OBT is a dynamic, growing, international biotechnology company based in Oxford, UK, and San Jose, CA. For further information, please see www.oxfordbiotherapeutics.com

Job Description

We are seeking a highly skilled and motivated AI/ML Biological Data Miner to join our dynamic target discovery team. In this role, you will be responsible for developing and implementing advanced machine learning algorithms to analyse complex biological datasets. Your work will contribute to groundbreaking discoveries in proteomics, oncology, diabetes, and other areas of life sciences.

Key Responsibilities

• Develop and apply machine learning models to analyse large-scale biological data.
• Collaborate with cross-functional teams, including biologists, bioinformaticians, and software engineers, to design and implement data mining solutions.
• Perform data processing, and model improvement / evaluation to ensure the accuracy and reliability of results.
• Interpret and visualise data to provide actionable insights for research and development projects.
• Stay up-to-date with the latest advancements in AI, machine learning, proteomics, and bioinformatics to continuously improve methodologies.
• Document and present findings to both technical and non-technical stakeholders, including external collaborators.
  
  

Qualifications

• Masters or Ph.D. in Computer Science, Bioinformatics, Computational Biology, or a related field.
• Strong background in machine learning, data mining, and statistical analysis.
• Proficiency in programming languages such as Python, R, or C#.
• Experience with machine learning frameworks and libraries
• Familiarity with biological databases and tools (e.g., NCBI, Ensembl, BLAST).
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork abilities.
  
  

Preferred Qualifications

• Experience in proteomics
• Knowledge of platforms for large-scale data analysis.
• Publications in relevant scientific journals or conferences.
  
  

Benefits

• Competitive salary and benefits package, including:
  • Private health care (BUPA)
  • Health Cash Plan
  • Generous pension scheme with potential employer contribution of up to 10% (based on matched contribution)
  • Discretionary annual bonus scheme
  • Free onsite parking
  • Office snacks
  • Enhanced holiday entitlement above statutory minimum plus public holidays
  • New hire stock options
• Opportunities for professional growth and development.
• Collaborative and innovative work environment.
• Access to cutting-edge technology and resources.
  

Equal Opportunities Statement

We are committed to equality of opportunity for all employee and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships

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