Length of Assignment: 3 months, 40/hrs per week, fully remote

Preferred Majors/Disciplines : S tatistics, Data Science, or Bioinformatics

Education Level: pending update

Immunology, Infectious Diseases, Ophthalmology (I2O) Technology and Translational Research pioneers new ways of working to translate the excellence in science into effective medicines for patients. We build capabilities to accelerate clinical development in order to bring therapies to patients more quickly, and to transform patient benefits.

Many patients with respiratory diseases have significant morbidity and mortality. Non-invasive biomarkers not only could help us understand the disease heterogeneity, they could also be used to predict flares and disease trajectory, thereby to inform drug development as well as disease management.

We are looking for an exceptional intern candidate to analyze clinical and lipidomic data collected from patients with respiratory conditions, to identify molecular or lipidomic signatures that are common across the diseases, and to assess the importance of the biomarkers/signatures in driving treatment response and disease outcome.

Responsibilities:

• The candidate will have the opportunity to work with clinical experts to understand the scientific context of the project.
• The candidate will be responsible for drafting an analysis plan with inputs from the clinical and analytic experts, performing analyses to address the prioritized clinical questions, performing pathway analysis to contextualize the findings, communicating the results to the stakeholders, and establishing an analysis pipeline that could be applied to future biomarker project

Abilities:

• Strong background in statistics, data science, or bioinformatics

• Proficient in analytic tools (R, python)

• Good communication skills

• Experience using patient level data to analyze pattern and outcome

• Experience in analyzing high dimensional multi-omic data (lipidomic, proteomic) and in pathway analysis