Laboratory Research Analyst (2 positions) at Duke University
Lab Research Analyst I
Editable Atlas is seeking a Laboratory Research Analyst to own the research-data operations behind their DNA sequencing studies, connecting the lab’s molecular and sequencing work to the datasets and systems the whole team relies on. Working independently and in regular consultation with the Principal Investigator, the analyst will run and help develop our FoodSeq bioinformatics pipelines, perform quality control on sequencing data, and manage sample and sequencing-run metadata across multiple cohorts, from sample receipt through analysis-ready output. Because this work sits at the interface of our wet-lab, field-sampling, and computational efforts, it calls for someone who understands our laboratory and sequencing processes and can integrate their data into the systems we use to run the lab.
Be part of a dynamic team committed to innovating in the fields of genomics, nutrition, and public health. Our lab offers a stimulating environment where your contributions will have a meaningful impact on scientific research and public health.
Lab Research Analyst II
Their lab is also seeking a Laboratory Research Analyst II to take on independent responsibility for analyzing our research data and for communicating these findings through technical and scientific writing. Scientific writing is at the heart of this role; the analyst will translate complex genomic analyses into high-quality manuscripts, progress reports, technical documentation, and figures. In addition to this writing focus, the analyst will plan and interpret complex genomic studies, evaluate and interpret data, help shape experimental and analytical plans, stay current with the scientific literature, support compliance around human biospecimens, and mentor junior personnel.
The role suits an experienced, scientifically trained individual who exercises independent judgment and writes clearly and compellingly about genomics, nutrition, and the gut microbiome. Applicants are strongly encouraged to provide a writing sample. Experience analyzing and interpreting research data and a background in genomics, the gut microbiome, or nutrition are preferred.