Dear colleagues,
Our newly created group COMPO (COMPutational pharmacology in clinical Oncology,
Marseille, France) is seeking a highly motivated individual with skills in
quantitative modeling, pharmacometrics and data science for a postdoc position
on a very exciting project dealing with modeling high-dimensional, longitudinal
and biologically meaningful data of response to immune-checkpoint inhibition in
lung cancer treatment.
Details are given below and on the online application website at the following
link:
https://jobs.inria.fr/public/classic/fr/offres/2020-02873
Please do not hesitate to forward to any interested person and contact me for
further details and application.
Context
The postdoc position will take place in the environment of a newly created
Inria-Inserm team COMPO
(COMputational Pharmacology in Oncology), located in the University Hospital of
Marseille. This team is composed of mathematicians, pharmacists and clinicians
and is a unique multidisciplinary environment focused on developing novel
computational tools for decision- making in clinical oncology.
Specifically, the project is funded by the french National Cancer Institute
(INCa) and will consist in developing mechanistic models of the response to
immune-checkpoint inhibitors (ICI) with access to unique, large-scale (~450
patients), longitudinal and multi-modal biological data generated by the
PIONeeR consortium clinical study (RHU program). It will involve strong
interactions with clinicians from APHM and biologists, from academy (CIML and
CRCM in Marseille) as well as biotech start-ups (e.g. HalioDX) and pharma
companies (InnatePharma, Imcheck therapeutics).
Participation to major international conferences (e.g. AACR, ASCO) will be
covered.
Missions
With the help of experts in mathematical modeling in oncology, clinical
pharmacology and clinical oncology, the recruited person will be in charge to
develop and validate biologically-based models of the response to ICI in
non-small cell lung cancer. To this end, large data sets containing multi-modal
longitudinal data from immuno-histochemistry, imaging, pharmacokinetics,
immunoprofiling, soluble biomarkers and sequencing data (including circulating
DNA) will be used. The models will be based on the current knowledge in the
field of immuno-oncology. Advanced statistical learning methods combining
machine learning techniques and mixed-effect models will be employed for
calibration of the models and confrontation with the data.
For a better knowledge of the proposed research subject :
See the website of the PIONEER project: https://marseille-immunopole.org/the-
pioneer-project/ recrutement.
For relevant previous publications, see:
http://benzekry.perso.math.cnrs.fr/recherche.html
Collaboration :
The recruited person will work under the supervision of S. Benzekry and will
collaborate with pharmacists and pharmacometricians (Pr J. Ciccolini, COMPO),
biotech companies (HalioDX), as well as clinical oncologists from thoracic
oncology (Pr L. Greillier, AP-HM, Marseille).
Main activities:
• Review of the biological and clinical literature (immuno-oncology)
• Data analysis and visualization
• Mechanistic modeling
• Programming
• Model calibration
• Statistical learning
• Development of predictive tools
Technical skills and level researched :
• Excellent programing skills (python, R or Matlab)
• Familiarity with real-world data analysis
• Statistics (ideally, experience in mixed-effects modeling)
• Mechanistic modeling (differential equations)
• Basic knowledge of cancer biology or medicine a plus
Languages :
Proficient in English.
Good relational skills and ability to work and communicate in an
interdisciplinary environment are required.
Advantages
• Subsidized meals
• Partial reimbursement of public transport costs
• Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory
reduction in working hours) + possibility of exceptional leave (sick children,
moving home, etc.)
• Possibility of teleworking (after 6 months of employment) and flexible
organization of working hours
• Professional equipment available (videoconferencing, loan of computer
equipment, etc.)
• Social, cultural and sports events and activities
• Access to vocational training
• Social security coverage
Gross Salary: 2653 € per month
————
Sebastien Benzekry, PhD
Head of the Inria-Inserm team COMPO
http://benzekry.perso.math.cnrs.fr/