Job offer

INSERM Rhône Alpes; France; Sur place; EUR 40 000 - 60 000; Plein temps

Résumé du poste

An established research institution is seeking a post-doctoral researcher in biostatistics to contribute to innovative data analyses for a project focused on obstructive sleep apnea. This role involves developing statistical models to predict patient adherence to CPAP therapy, utilizing longitudinal data and statistical software such as R and Python. The successful candidate will work collaboratively within a dedicated team, ensuring the scientific dissemination of findings through publications and conferences. Join a vibrant research environment that values curiosity and scientific rigor, and make a meaningful impact in the field of public health.

Qualifications

• Proficiency in statistical methods for analyzing multidimensional longitudinal data.
• PhD in biostatistics or related disciplines is required.

Responsabilités

• Carry out scientific monitoring on the research topic.
• Develop statistical approaches adapted to the data and questions posed.
• Promote results through scientific publications and presentations.

Connaissances

Statistische Methoden

Datenanalyse

Ergebnisse visualisieren

Fließend Englisch

Kommunikationsfähigkeiten

Autonomie

Interpersonelle Fähigkeiten

Neugier

Formation

Doktorat in Biostatistik

Abschluss in Epidemiologie oder öffentlicher Gesundheit

Outils

R

Python

Description du poste

Organisation/Company: INSERM Rhône Alpes

Research Field: Other

Researcher Profile: First Stage Researcher (R1)

Positions: Postdoc Positions

Country: France

Application Deadline: 23 May 2025 - 12:00 (Europe/Paris)

Type of Contract: Permanent

Job Status: Full-time

Hours Per Week: 38h30

Offer Starting Date: 1 Jun 2025

Is the job funded through the EU Research Framework Programme? Not funded by a EU programme

Is the Job related to staff position within a Research Infrastructure? No

Offer Description

The HP2 laboratory is looking for a post-doctoral student in biostatistics to ensure the implementation and valorization of data analyzes from the ANR STRATA project (Sleep apnea trajectories deciphered by innovative multidimensional data analyses).

Obstructive sleep apnea syndrome (OSAS) is one of the most common chronic diseases, affecting nearly one billion people worldwide. The estimated prevalence of moderate-to-severe OSAS in adults aged 30–69 years is 22.7% in Europe and 36.3% in France. The economic burden of OSAS is comparable to, or even higher than, that of other major chronic diseases. Although OSAS has a direct impact on patient quality of life and outcomes due to its association with the development and/or worsening of cardiometabolic comorbidities and is associated with early mortality, the disease remains underdiagnosed, undertreated, and largely underestimated in terms of health policies.

The long-term prognosis of individuals with OSAS is linked to adherence to the recommended first-line treatment, continuous positive airway pressure (CPAP), which opens and stabilizes the upper airway during sleep. CPAP is highly effective in improving patient-reported outcomes (PROMs) such as daytime sleepiness and quality of life and reduces cardiovascular risk in adherent patients. Currently, 1.8 million people with OSA are treated with CPAP in France. However, despite the benefits of regular CPAP use, an SNDS analysis showed that up to 50% of patients discontinue CPAP therapy within the first three years after treatment initiation.

The objective of the project is to develop multidimensional approaches based on observational data collected in clinics at the time of diagnosis and during follow-up of patients under CPAP by telemonitoring to predict the level of patient adherence to CPAP therapy at the time of diagnosis, and in the short, medium, and long term after treatment initiation. This project is carried out in partnership with a home care provider, Agir à Dom.

The researcher will use statistical analysis models on longitudinal data to develop dynamic prediction models for CPAP adherence, taking into account all available data and aiming to validate them with external data. This work is part of the STRATA project, in collaboration with a doctoral student and a research engineer. The successful candidate will be responsible for the scientific dissemination of the research activities in the form of scientific publications or conference presentations.

Responsibilities

1. Carry out and organize scientific monitoring on the research topic
2. Participate in data management
3. Develop statistical approaches adapted to the data and the questions posed
4. Participate in meetings organized within the framework of the project
5. Scientifically promote the results, both orally and in writing (scientific publications and presentations at national and international conferences and symposia)

Your Profile

1. Proficiency in statistical methods for analyzing multidimensional longitudinal data
2. Fluency in English
3. Writing skills (scientific articles) and communication skills (presentations, posters)
4. Data analysis and results visualization skills
5. Proficiency in statistical software (R, Python)
6. Ability to plan actions, meet and enforce deadlines, and manage contingencies
7. Autonomy, scientific rigor, and organizational skills
8. Excellent interpersonal skills
9. Curiosity, a passion for research
10. Experience in developing statistical methods or applying longitudinal data analysis methods in medical research
11. PhD in biostatistics or other related disciplines (epidemiology or public health)

Our team: The laboratory is composed of 45 tenured researchers, and the project will be carried out within a team dedicated to methodological research on observational data, organized into three areas and composed of seven researchers.