Post Doc en biomdicine et biologie computationnelle dfm

Roche; Paris; Sur place; EUR 45 000 - 75 000; Plein temps

Résumé du poste

Ein innovatives Unternehmen sucht einen Postdoktoranden für die integrative Analyse multimodaler Daten im Bereich der Onkologie. Diese spannende Rolle umfasst die Analyse von Daten aus verschiedenen biologischen Quellen, um Einblicke zu gewinnen und Patienten besser zu stratifizieren. Der ideale Kandidat bringt umfassende Erfahrung in der Datenanalyse, Programmierung und Projektmanagement mit. In einem dynamischen Team wird die Möglichkeit geboten, an einem bahnbrechenden Projekt zur Verbesserung der Behandlung von Brustkrebspatienten zu arbeiten. Wenn Sie eine Leidenschaft für Forschung und Innovation haben, könnte dies die perfekte Gelegenheit für Sie sein.

Qualifications

• PhD in einem quantitativen Bereich erforderlich.
• Erfahrung in der Analyse biologischer Datensätze und Maschinenlernen.

Responsabilités

• Leitung der integrativen Analyse multimodaler Daten im Cassiopeia-Projekt.
• Entwicklung einer klinisch relevanten Strategie für die Datenintegration.

Connaissances

Analyse biologischer Datensätze

Maschinenlernen

Programmierung in R/Python

Projektmanagement

Kommunikationsfähigkeiten

Bildanalyse

Onkologie

Immunologie

Multimodale Analyse

Formation

PhD in Computational Biology

PhD in Bioinformatics

PhD in Biophysics

Outils

R

Python

Description du poste

Roche fosters diversity, equity, and inclusion representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people's varied healthcare needs. Together we embrace individuality and share a passion for exceptional care. Join Roche where every voice matters.

The Position

Postdoctoral researcher in computational oncology: integrative analysis of multimodal data in triple negative breast cancer.

Who we are: Institut Roche is a non-commercial affiliate of Roche located in Boulogne near Paris, France, dedicated to the development and management of preclinical and translational collaborative projects between Roche and the academic ecosystem. Institut Roche's team includes almost exclusively PhDs with expertise ranging from immunology to neuroscience and oncology and several data and analytics experts. Institut Roche boasts strong connections to the wide Roche ecosystem, in particular the research centers in Basel (pRED) and South San Francisco (Genentech). Roche is a global leader in pharmaceutical research, a pioneer in the field of immuno-oncology, and the second top pharma R&D investor worldwide.

The position: The postdoctoral researcher will be in charge of integrative analysis for the Cassiopeia project, a collaborative project taking place at Institut Curie in Paris, France. The goal of the Cassiopeia project is to create a significant paradigm shift in the clinical care of patients with Triple-Negative Breast Cancer (TNBC). TNBC is frequently diagnosed in young women with an incidence of 9000 to 15000 new cases annually and is associated with a poor prognosis—a survival rate of 60%. These patients face a higher risk of early metastatic recurrence and have a shorter overall survival compared to other breast cancer subtypes. Over the last decade, chemotherapy has been the sole systemic therapeutic option offering limited efficacy. There remains a critical need for the identification of biomarkers to pinpoint patients at high risk of relapse and those who are resistant to treatment.

The postdoctoral researcher will be leading the integrative analysis of multimodal data generated in Cassiopeia, including scRNAseq, spatial transcriptomics, clinical data, multiplex IHC, radiomic TCRseq, and ctDNA. The position will require building a clinically relevant strategy for multimodal feature selection, integration, and response association/prediction. The postdoctoral researcher will be tasked with maintaining and strengthening collaboration with internal teams in Basel and South San Francisco on the Cassiopeia project and leveraging computational skills across the entire organization. The overarching goal of the project is to better understand and overcome resistance to therapy in triple negative breast cancer.

Who you are:

• You have a PhD in computational biology, bioinformatics, biophysics, or equivalent quantitative field.
• You have experience analyzing various biological datasets including NGS such as single cell RNAseq or spatial transcriptomics.
• You have experience integrating different data modalities in biology for the purpose of insights generation, patient stratification, and outcome prediction.
• You have experience in machine learning.
• You can code efficiently in R/Python.
• You have experience in project management.
• You are agile, creative, and solution-oriented.
• You are skilled at communicating your research to stakeholders with various backgrounds.
• You are fluent in English.
• Experience in image analysis preferred.
• Experience in deep learning preferred.
• Experience in oncology and immunology preferred.
• Experience in multimodal analysis is a plus.

At Roche, more than 100000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we've become one of the world's leading research-focused healthcare groups. Our success is built on innovation, curiosity, and diversity.

Roche is an Equal Opportunity Employer.