Question 1

What qualifications are required for this Postdoctoral Researcher in Biostatistics role?

Accepted Answer

You must hold a PhD/DPhil (or be close to completion) in Statistics, Biostatistics, Statistical Machine Learning, or a related quantitative field. Essential skills include expertise in Bayesian/probabilistic frameworks, causal inference, predictive modelling, and proficiency with R, MATLAB, or Python. Strong communication in multidisciplinary teams is key. For tips on thriving in postdoc roles, see postdoctoral success guide.

Question 2

What are the main responsibilities in this Statistical Machine Learning postdoc?

Accepted Answer

Develop causal scalable statistical machine learning models for prognostic predictions and treatment response using the NO.MS dataset (40,000+ MS patients). Handle longitudinal clinical, laboratory, and high-dimensional MRI data with missing values. Collaborate with Dr. Habib Ganjgahi, Profs. Chris Holmes & Thomas Nichols on study design, analysis, and publications. Participate in OxCSML research group. Explore research jobs for similar opportunities.

Question 3

How do I apply for this Oxford Biostatistics postdoc position?

Accepted Answer

Apply online via University of Oxford portal, uploading a CV and supporting statement addressing selection criteria with examples. Quote Vacancy ID: 184574. Deadline: 12 midday, 16 February 2026. No other documents initially. Use our free CV template and academic CV guide to strengthen your application.

Question 4

What is the salary and contract details for this role?

Accepted Answer

Salary: Research Grade 7: £39,424 - £47,779 per annum (includes £1,730 Oxford University Weighting, pensionable). Full-time fixed-term contract until 31 August 2027, funded by Novartis. Check university salaries for comparisons.

Question 5

Where is this position located and what are the work expectations?

Accepted Answer

Primarily at Big Data Institute, Li Ka Shing Centre, Old Road Campus, Headington, Oxford OX3 7LF, with time at Department of Statistics, 24-29 St Giles’, OX1 3LB. Expect multidisciplinary collaboration in Oxford–Novartis AI in Medicine. Review postdoc jobs in Oxford for relocation insights.

Question 6

What is the NO.MS dataset and project focus?

Accepted Answer

The NO.MS dataset is the world's largest MS collection (>40,000 individuals, longitudinal over a decade). Project builds individual-level causal models for long-term outcomes and heterogeneous treatment effects using clinical, lab, and MRI data. Ideal for probabilistic machine learning experts.

University of Oxford

Big Data Institute, Li Ka Shing Centre for Health and Information Discovery, Old Road Campus, Headington, Oxford, OX3 7LF

"Postdoctoral Researcher in Biostatistics - Statistical Machine Learning"

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