4-year PhD position in Biostatistics (292171) | University of Oslo Job title: 4-year PhD position in Biostatistics (292171), Employer: University of Oslo, Deadline: Thursday, February 12, 2026

Only a few days left to apply for this interesting PhD position in biostatistics at OCBE: www.jobbnorge.no/en/available...
@jmgran.bsky.social

4-year PhD position in Biostatistics (292171) | University of Oslo Job title: 4-year PhD position in Biostatistics (292171), Employer: University of Oslo, Deadline: Wednesday, February 4, 2026

We are seeking candidates for a PhD position in biostatistics at the University of Oslo!

The project is on methods for casual inference and event history analysis, motivated in particular by the study of vaccine effects. See the full call for more details.

www.jobbnorge.no/en/available...

But years are fine?

Researcher with statistical competence in causal inference for infectious disease | FINN.no The Section for Modelling and Bioinformatics, in the Department of Method Development and Analytics, is recruiting a researcher for a permanent position. In

Open permanent position as researcher in causal inference for infectious diseases at the Norwegian Institute for Public Health! Deadline May 16.

www.finn.no/job/fulltime...

In silico trials and digital twins are emerging as transformative medical technologies as they offer a unique way to design medical innovations, optimize their application, and evaluate their utility. Their utility spans from individual care – appropriating the technology for personalized decision, to population care – presenting an alternative to design, supplement, or replace clinical trials. They effectually offer a new way to efficiently qualify, quantify, and personalize healthcare innovations in advance or in conjunction with their clinical application. While much progress is underway to advance these technologies across diverse developments, realizing their full potential requires a cohesive goal to unify separate activities towards a common objective. Such a cohesive goal – a moonshot – can be defined as forming and fostering a digital twin of every single human person, owned by the individual, progressively updated with new data, and used to deliver optimized care, technology assessment, and real-world evidence. This vision builds upon a growing body of work in computational modeling, regulatory science, and digital healthcare, underscoring its feasibility. Bringing this vision to reality requires ownership and active engagement of all stakeholders to contribute diverse expertise and resources for transforming medicine and medical appropriation towards a more accurate, efficient, and quantitative future.

These people are dangerous, and I mean that.

academic.oup.com/pnasnexus/ad...

Research Fellowship as PhD Candidate at the Department of Biostatistics (277034) | University of Oslo Job title: Research Fellowship as PhD Candidate at the Department of Biostatistics (277034), Employer: University of Oslo, Deadline: Sunday, April 6, 2025

We are looking for a highly motivated PhD candidate in Biostatistics to work on methods for Evidence Synthesis within the Oslo Center for Biostatistics and Epidemiology!

More information & application: www.jobbnorge.no/en/available...

Deadline: 6 April 2025

PhD position in Biostatistics  (276883) | University of Oslo Job title: PhD position in Biostatistics  (276883), Employer: University of Oslo, Deadline: Monday, March 31, 2025

PhD opportunity in Oslo! We’re seeking candidates for a 3-year full-time PhD position @ocbe.bsky.social, within time-to-event analysis.

More information: www.jobbnorge.no/en/available...

Deadline: March 31st, 2025.

Registration and abstract submission is now open for the Nordic-Baltic Biometrics conference in Oslo June 10-12! Take a look at www.nbbc2025.com

See also the pre-conference course in causal inference for time-to-event outcomes with Ruth Keogh and myself on June 9.

Thanks. This is just one position I’m afraid, but perhaps doubly exciting:)

Four year postdoc position at the Oslo Centre for Biostatistics and Epidemiology (OCBE) (272144) | University of Oslo Job title: Four year postdoc position at the Oslo Centre for Biostatistics and Epidemiology (OCBE) (272144), Employer: University of Oslo, Deadline: Friday, January 31, 2025

We're still seeking candidates interested in causal inference and/or survival analysis for a postdoc position in Oslo. Deadline January 31.

Please apply or forward this to anyone who might be interested!

www.jobbnorge.no/en/available...

🎉 Happy New Year! 🎉

Kickstart 2025 with exciting news! 🌟
Registrations for EuroCIM 2025 are now OPEN! Secure your spot with early-bird discounts until March 1.

🔔 Reminder: Abstract submissions close January 15, 23:00 CET—don’t miss your chance to contribute!

Great department, great group, great city!

Four year postdoc position at the Oslo Centre for Biostatistics and Epidemiology (OCBE) (272144) | University of Oslo Job title: Four year postdoc position at the Oslo Centre for Biostatistics and Epidemiology (OCBE) (272144), Employer: University of Oslo, Deadline: Friday, January 31, 2025

Want to do a postdoc in Oslo? We're seeking candidates for a four year postdoc position in causal inference/time-to-event analysis.

Application deadline is January 31. See below for more information and feel free to take contact if you have any questions! www.jobbnorge.no/en/available...

Simulating Data From Marginal Structural Models for a Survival Time Outcome Marginal structural models (MSMs) are often used to estimate causal effects of treatments on survival time outcomes from observational data when time-dependent confounding may be present. They can be...

New paper from Shaun Seaman and me on how to simulate data from marginal structural models (MSMs) for survival outcomes, including Cox MSMs. This can be useful in simulation studies evaluating causal inference methods that use MSMs. R code provided. onlinelibrary.wiley.com/doi/10.1002/...

Does Cox analysis of a randomized survival study yield a causal treatment effect? - Lifetime Data Analysis Statistical methods for survival analysis play a central role in the assessment of treatment effects in randomized clinical trials in cardiovascular disease, cancer, and many other fields. The most co...

Maybe. I think this paper give a nice summary of the issue (see Fig 2 and adjustment for Z): doi.org/10.1007/s10985-015-9335-y

If "data permitting"... one should probably not to be too optimistic if aiming to adjust for everything predictive of survival?

The European Causal Inference Meeting 2025 is coming to Ghent! ✨ Share your work with experts across the globe – abstract submission for oral & poster presentations is now open! eurocim.org/abstracts.html

OCBE is preparing to leave the dark social media. To help you connect with our community here 🦋, me made a starter pack with present and past OCBE members, a list that will probably will grow soon 😊 go.bsky.app/6bqMnLQ