POSITION RESPONSIBILITIES

• Develop, implement and maintain existing and novel novel bioinformatic pipelines and tools to analyze large-scale epigenetic, transcriptomic and perturb-seq datasets.
• Work closely with other lab members and collaborators in a highly collaborative research environment to actively contribute to the design, conception, and execution of molecular and cellular experiments to achieve the goals of the specific projects.
• Designing and executing experiments, data management, data analysis, manuscript preparation, presenting research, contributing to grant proposals, and mentoring students.
• Provide support and training on data pipelines, protocols, and database tools for all team member projects.
• Coordinate and assist with implementation and improvement of data management and data processing protocols.
• Prepare and submit manuscripts for publication in peer-reviewed journals, ensuring that the research findings are communicated effectively to the scientific community.
• Engage in scientific communication by presenting research findings at conferences and workshops, contributing to the visibility and impact of the lab's work.

QUALIFICATIONS

Bachelor's Degree in Bioinformatics, Data Science, Computational Biology, or related field

At least 1 year bioinformatics experience.

Excellent communication and interpersonal skills, with a strong interest in working as part of a multidisciplinary team.Prior experience in any of the following relevant areas is highly desired:Experience with single cell RNA-sequencing.Experience in advanced genomics, bioinformatics and statistical analysis.Ability to develop and troubleshoot new methodologies.Ability to pursue exciting and fundamental biological questions.Excellent writing and communication skills.Strong publication record in peer reviewed journal.

Minimum Salary Range

Maximum Salary Range

About Us

The Soldner lab seeks applications for a Bioinformatics analyst to develop and apply methods to analyze epigenetics and functional genomic data sets, such as ATAC/CUT&Tag-seq, single cell transcriptomic and perturb-seq data set generated from human organoid and stem cell models. The focus of the Soldner laboratory is modeling human brain development and function in cell culture as a tool to systematically investigate the genetic, cellular, and molecular basis of complex neurological disorders such as Parkinson's and Alzheimer's disease. We employ an interdisciplinary approach, integrating functional genomics approaches in human pluripotent stem cell (hPSC) derived neuronal cells with population genetics and genome-scale epigenetic information to study neurodegenerative disorders in a genetically controlled and systematic manner. We have recently established a novel CRISPR functional genomics platform in monolayer and organoid neuronal cultures to quantitatively dissect how genetic, epigenetic, and environmental factors contribute to the development and progression of neurological diseases and to identify novel therapeutic targets.