We are looking for a Scientific Associate with experience and a passion in Oncology, and particularly within ImmunoOncology. The roles includes the ability to identify, extract, curate, and interpret scientific data, as well as being a thought partner in the design of novel solutions in the intersection of ImmunoOncology and big data/Machine Learning.
Responsibilities include:
-
Extracting and interpreting outcomes data (e.g., efficacy and safety) from scientific papers that articulate the results of clinical trials in ImmunoOncology.
-
Expertly curating regulatory (FDA), scientific (e.g., gene-disease association), epidemiological (e.g., incidence/prevalence), and other data.
-
Collaborating with other team members, including the front/back-end engineers, and other stakeholders; and participating into the design of advanced Machine Learning products advancing ImmunoOncology.
Skills and Qualifications
-
Advanced degree (e.g., MD, PhD, or Masters) in the field of ImmunoOncology (and/or Oncology/Immunology).
-
PostDoc experience, and experience in clinical trials is a plus (but not required).