Hélène Ruffieux

Senior Research Fellow @MRC_BSU, @Cambridge_Uni | Bayesian modelling, large-scale inference, statistical genomics.

[Itai Yanai @ItaiYanai]

Doing good science is 90% finding a science buddy to constantly talk to about the project.

[Hélène Ruffieux @h_ruffieux]

Great opportunity to join the @MRC_BSU and contribute to a dynamic and collaborative academic environment.

[MRC Biostatistics Unit @MRC_BSU]

We are recruiting for a Senior Teaching Associate for the @Cambridge_Uni MPhil in Population Health Sciences - Teaching in #Epidemiology, #Biostatistics and #InfectiousDiseases

60 - 100% FTE

Find out more and apply 👇
https://t.co/8MMeubzBaZ

@zakkal @DPHPC

[Hélène Ruffieux @h_ruffieux]

Just a couple of days left to apply!

[Hélène Ruffieux @h_ruffieux]

Join the MRC Biostatistics in Cambridge this summer and gain experience in biomedical statistics in a stimulating research environment !

[Sofia S. Villar @SofiaSVillar1]

Join our October edition of the RAR course & learn how it can help improve the design of your clinical trial! Register today: https://t.co/yNuoXhfZIp
Optional networking dinner has been added to the registration! @MRC_BSU

[Hélène Ruffieux @h_ruffieux]

Join the MRC Biostatistics in Cambridge this summer and gain experience in biomedical statistics in a stimulating research environment !

[MRC Biostatistics Unit @MRC_BSU]

📢 Summer Internships 2024 - Applications now open! 😀

Fantastic opportunity to join us for 8 weeks - contribute to our unique research and work with the wonderful members of our Unit.

Find out more and apply 👇
https://t.co/pUpIj3Lv8g

[Aimee Hanson @DrAimeeLee]

Ironing out long-COVID... the result of a mammoth, years-long collaborative effort between @Cambridge_Uni and @Drakesmith_Lab investigating the link between iron dysregulation during COVID-19 and long-COVID is out today in @NatImmunol https://t.co/itH3R6zdbn
Check it out!

[MRC Biostatistics Unit @MRC_BSU]

(1/2) 📢 Excited to be hosting workshop on Response-Adaptive Randomisation in #clinicaltrials

29 Feb, Cambridge

Announcing first 3 keynote speakers: 🤩
William Rosenberger @GeorgeMasonU
Chris Jennison @UniofBath
Kert Viele @BerryConsultant

Register:👇
https://t.co/OCtXqzVOoL

[MRC Biostatistics Unit @MRC_BSU]

Our short course on Bayesian Statistics introduces Bayesian statistical methods and provides skills for designing, assessing and interpreting Bayesian analyses.

17 Nov - 1 Dec, online.

Register 👇
https://t.co/xNXSGFyNhi

@rjbgoudie @apresanis @cjackstats

[Sofia S. Villar @SofiaSVillar1]

Looking for PhD opportunities in trial methodology, check out the projects here. There are many exciting opportunities including some with me and others at Efficient Study Design in @MRC_BSU
https://t.co/l0ZPH7cXJi

[MRC Biostatistics Unit @MRC_BSU]

📢 Excited to announce we will be running a dissemination workshop on Adaptive Designs in Real Trials which will cover recent case studies of implementing adaptive designs in #clinicaltrials.

27 Nov, Hybrid, Cambridge

Info & registration:
https://t.co/WaMOrPxiv1

@pmozgunov

[Sofia S. Villar @SofiaSVillar1]

Come and join! Plenty of opportunities for developing a career in biostatistics 👇

[MRC Biostatistics Unit @MRC_BSU]

Reminder the closing date for applications to this PhD studentship is 18th September (admission in January or April). Enquiries welcome. Full details https://t.co/sI6HrddgMs

[Hélène Ruffieux @h_ruffieux]

Just under one week left to apply! Do contact me for an informal chat about the role.

@MRC_BSU @Cambridge_Uni

[Hélène Ruffieux @h_ruffieux]

Join our team @MRC_BSU @Cambridge_Uni! Great opportunity to advance Bayesian methodology for biomedical research: https://t.co/840o0w13DC Collaborative and dynamic work environment. DM/email me for any enquiries. RT appreciated!

[MRC Biostatistics Unit @MRC_BSU]

"This summer has been an incredible experience, with the BSU the perfect, friendly introduction into research, alongside the loveliest cohort of interns."

Read about the experiences of wonderful 2023 interns.

https://t.co/4qYZsuKsyp

#internship @Cambridge_Uni @The_MRC

[Hélène Ruffieux @h_ruffieux]

All the best to our 11 interns who we’ve been lucky to have around for the 2023 edition of the @MRC_BSU internship programme! If you are (or know someone who is) looking for a first research experience in biomedical statistics, stay tuned the next call will be announced shortly!

[MRC Biostatistics Unit @MRC_BSU]

It's been a privilege to have had 11 fantastic interns with us this summer, doing great work with our researchers which they each presented on yesterday 🤩✨

Wishing you all the very best for the future! 🎉

#internship @Cambridge_Uni @The_MRC

[Hélène Ruffieux @h_ruffieux]

Join our team @MRC_BSU @Cambridge_Uni! Great opportunity to advance Bayesian methodology for biomedical research: https://t.co/840o0w13DC Collaborative and dynamic work environment. DM/email me for any enquiries. RT appreciated!

[Pavel Mozgunov @pmozgunov]

Outstanding (and much needed) initiative! Also great news for statisticians/data scientists. Inspired by the pilot of the @NIHRresearch internship scheme led by @JMSWason in 2021, we @MRC_BSU ran two summer internship schemes for >20 students. The secind starts next week!

[MRC Biostatistics Unit @MRC_BSU]

We are running a NEW short course on Bayesian Methods for Clinical Trials - 22nd & 23rd May, Cambridge

Intro to basic aspects & advanced features of Bayesian methods for #clinicaltrials

Led by @haiyan_zheng @pmozgunov @thomas_jaki

Info & registration: https://t.co/8it1OgxqqV

[MRC Biostatistics Unit @MRC_BSU]

Congratulations to Sylvia Richardson
@srichardson962 on being included in https://t.co/esyPiGpJS6 2023 Top Scientists, in the field of Mathematics, ranked 15 in the UK and 288 in the world 🤩

https://t.co/FYv8n6bLhK