Student Researcher

Department: Department of Biomedical Informatics

Supervisor: Arjun Krishnan

Job Title: Student researcher

Job Location: Anschutz Medical Campus

Position Purpose: Biomedical data science research

Job Description:

The Krishnan Lab in the Department of Biomedical Informatics at CU Anschutz develops computational approaches that take advantage of massive public data collections to build machine learning (ML) models that can unravel the molecular mechanisms underlying complex diseases. We are also passionate about open science, research training, and creating diverse and inclusive learning environments.

In this position, you will contribute to ongoing research efforts by: i) preparing large datasets for training ML models, ii) building and refining the ML models, and iii) summarizing, visualizing, and interpreting the results.

This work entails writing code in Python/R, using the Linux command-line, running jobs in high-performance computing cluster, and version control (GitHub). You will also be involved in presenting your work in group meetings and university/national meetings, and in writing-up your work as contributions to manuscripts.

Eligibility Requirements:

1. High school and undergraduate student: High level of enthusiasm and commitment for learning programming in R/Python, basic concepts in data analysis and visualization, and the details of biomedical problems. Familiarity or experience with any of these is a bonus.
2. Graduate student: Introductory-level knowledge and experience in programming in R/Python (including data wrangling and visualization), a strong background knowledge of basic concepts either in fields like computer science and physics or in fields like genetics and molecular biology, and a high level of enthusiasm and commitment for advancing these areas of knowledge and skills.

Employment: Summer internship

Remarks:

We welcome individuals at various stages of their training — graduate, undergraduate, and high school students — to join our lab and we are happy to train them in many aspects of data-intensive biology. We have had several undergraduate and high school students participate in research, make substantial contributions to several research projects, and co-author publications. We have high expectations for their level of commitment and participation both in their research project and in group as a whole (e.g., attending group meetings, engaging and communicating with fellow group members about their research). In turn, they will receive consistent guidance and support from everyone in the group and several opportunities for technical training and professional development, including traveling to and presenting at national/international conferences.

Pay Range: Undergrads: 18-20/hour. Graduate students 20-22/hr.