Rare and Neurological Disease TA

OVERVIEW: 

The Rare and Neurological Therapeutic Area research group is working on understanding diseases with large unmet medical need and bringing the next wave of therapies to patients. We employ cutting edge approaches to try to better elucidate key interventional nodes in disease like ALS, Alzheimer's disease, Parkinson's disease, and multiple sclerosis. 

GOAL: 

Sanofi is seeking a curious and motivated fellow to support disease biomarker discovery efforts in the Neuroinflammation Cluster within the Rare and Neurological Disease research group. You will help Sanofi uncover robust biomarker signatures associated with disease through the integration of diverse in-house and external omics datasets. This will also support a stronger understanding of disease signatures and targets. In utilizing these approaches, the goal for fellows joining is to train the individuals in various aspects of drug discovery and drug development in a high paced setting. 

OBJECTIVES: 

A key objective for this project will be to utilize the large human specific data sets that our group has generated across different diseases and to identify common nodes in neurodegeneration. These hypotheses will then be tested in both vitro and in vivo settings to identify novel targets and biomarkers. 

SANOFI COMPONENT: 

The fellow will be exposed to several aspect of drug target and discovery validation in our early research pipeline across multiple disease and will contribute to project team in later stage development projects like RIPK1, BTK, and a CD40L for MS and ALS. The goal is to generate a playbook for future reverse translation efforts in the group. 

 

IDEAL CANDIDATE: 

We are looking for a highly qualified and motivated scientist to join the precision neurology and neuroinflammation cluster, focused on discovering, validating, and developing therapies for rare neurologic and neurodegenerative diseases. This position will combine computational analysis of omics and clinical data as well as laboratory work. The ideal candidate will be responsible for working individually and as a part of a team to design and executive experiments. 

 

Location: Cambridge, MA