The Department of Human Genetics at the University of Chicago is looking for exceptional computational candidates to investigate how the human brain develops and goes awry. The successful candidate will co-lead projects in a neurogenetics team and investigate how diverse brain cell types are specified in normal development and changed under neurological conditions. The position will become available in October 2019 or later in the lab of Xiaochang Zhang (https://www.zhanglaboratory.org/) and a 2-year minimum commitment is required (with possible extension).
Principal contribution is to gain biological insights by applying known and developing new computational tools. Responsibilities include: co-design and analyze large-scale and high-throughput datasets (single cell RNA sequencing, whole genome sequencing, CRISPR mediated genetic screening, etc), provide computational support to the team, present and publish results in biomedical meetings and journals. You will work collaboratively with other scientists on experimental and computational projects. Your work will be expected to enable the research of other teammates through excellent communication, teamwork, and a focus on creating accessible computation tools and pipelines. You must be capable of conducting self-directed research within broader goals set by group.
Additionally, the Department of Human Genetics at the University of Chicago has exceptional strengths in population genetics, genomics and computation biology. The candidate will interact with other labs in the Department and add to this environment with creativity, scientific agility, self-motivation, and strong communication skills.
• Apply and develop customized computational solutions to support new types of assays and experiments
• Generate figures and reports, and automate the production of such results as components of computational pipelines.
• Report data and share results to supervisor and team at lab meetings, plan projects and experiments, and ensure that projects support current team goals.
• Evaluate, document, and maintain computational pipelines, both for team use and to support biologists in the scientific community
• Contribute to generation of protocols, publications, and intellectual property.
• Other related tasks as required.
• Bachelor’s or Master’s degree in computer science, computational biology, statistics, or related quantitative field required.
• Must possess practical experience in data analysis, preferably in an independent project in an academic research laboratory setting.
• Proficient in Unix, standard bioinformatics tools (Python, R, or equivalent), and a programming language (C/C++, Java). Knowledge of SLURM or other scheduler is a plus.
• Excellent organization, time management, and communication skills to interact professionally with all levels of staff. Team player.
• Knowledge of biology or neuroscience is a plus but NOT required. Inclination to acquire such knowledge is.