You are viewing a preview of this job. Log in or register to view more details about this job.

Lab Technician I - Laboratory of Genetics, Dr. Gage

The Gage lab is seeking a Computational Biology Tech I to work collaboratively on projects studying neurodevelopment and neurological disease. The ideal candidate will have a background in bioinformatics, computer science, and/or software engineering. Under the direction of senior computational researchers and analysts, they will be responsible for implementing and running analysis pipelines for large-scale functional genomics datasets, generating intuitive data visualizations, and working with lab researchers to answer specific biological questions through the lens of functional genomics.
(100%) Functional genomics pipeline development and data processing
  • Implement, optimize, and run computational pipelines for functional genomics data including but not limited to bulk and single-cell RNA-seq and ATAC-seq.
  • Develop scripts and conduct analysis of genomics counts data including but not limited to quality control, normalization, batch correction, principal component analysis, clustering, and differential analysis.
  • Generate intuitive data visualizations from genomics data analyses
  • Work on UNIX-like high-performance compute cluster environment
  • Work on google cloud platform computing environment
  • Present pipeline performance and analysis results in one-on-one and small group meetings.
  • No professional experience required
  • Knowledge/Familiarity with the following gained through academic experience:
  • Experience working on a UNIX-like operating system in a high-performance computing environment
  • Programming experience in Bash, Python and R
  • Familiarity with Illumina sequencing technology and RNA-seq
  • Hands-on single-cell genomics experience:
  • Downstream analysis in Seurat and/or Scanpy environments either in a lab and/or the following courses: (1) BENG183, Applied Genomic Technologies and (2) CSE185, Advanced Bioinformatics Laboratory
  • Hands-on single-cell genomics experience:
  • Alignment and quantification of sequencing reads using CellRanger and/or STARsolo pipelines
  • Familiarity with creating and using isolated computational environments using conda and/or Docker containers
  • Familiarity with supervised and unsupervised machine learning techniques including regression, classification, and clustering
  • Pipeline development experience in Snakemake, Nextflow, and/or the workflow development language (WDL)
  • Experience executing genomics pipelines in the cloud
  • Enrolled in a bioinformatics-focused BS program
  • Undergraduate coursework in biological sciences related field.
  • Proven organizational and time management skills to successfully complete tasks prioritized by the supervisor.
  • Strong communication skills (both verbal and written) needed to interact professionally and effectively in the work environment.
  • Some ability to read, comprehend, and discuss research papers and materials.
  • Ability to interact diplomatically and professionally with lab researchers.
  • Experience with Standard business office equipment and commonly used software and tools, such as Microsoft Office, electronic mail, and the internet.
  • Theoretical and practical knowledge of biological sciences (particularly molecular and cellular biology).
  • Must be willing to work in an animal-related research environment.
  • Must be willing to work a flexible schedule to support research needs.
  • Successful completion of the Institute’s background investigation.
  • Must be willing to sign a confidentiality agreement.
This position will require constant seeing, sitting, touching/feeling, analyzing, calculating, and working inside. 

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)