-
any prior working experience. We expect postdoctoral fellows to establish and advocate for best practices in scientific reproducibility of all results and to promote the ethical use of data and
-
. Responsibilities The fellow will play a collaborative and leadership role in project design, study implementation, analysis, survey construction, data collection, data analyses, preparation of publications and
-
, computational medicine, predictive analytics, big data, neuroscience, and related fields. AI + Life Sciences: Participate in research projects that are related to AI and the life sciences. These may include
-
opportunity to work collaboratively with other functional areas within Ironwood, including global patient safety, clinical development, medical scientific affairs, program management, data sciences, quality and
-
development, medical scientific affairs, program management, data sciences, quality and compliance, nonclinical, medical writing and publications, and chemistry, manufacturing, and controls, as
-
content development, including standard response letters, custom response letters, and frequently asked questions · Data analytics and insights collection and reporting · Support of medical
-
development, medical scientific affairs, program management, data sciences, quality and compliance, nonclinical, medical writing and publications, and chemistry, manufacturing, and controls, as
-
skills for regulatory documents and cross functional discussions Analytical and critical thinking skills to evaluate data and regulatory requirements. Project management and organizational skills
-
, site interactions, and reviewing tables, figures, and listings (TFLs). Responsible for analytical support of clinical trial data (safety and efficacy), including gathering, analyzing, reviewing
-
, including Medical Affairs, Legal, Regulatory, Patient Services, Market Access, Data & Analytics, Market Insights, Competitive Intelligence, Global Marketing, and US Commercial Field teams to support