From c2a225e5935d11350a31ca40f6b141ac043668d2 Mon Sep 17 00:00:00 2001
From: Harriet Dashnow <h.dashnow@gmail.com>
Date: Wed, 6 Nov 2024 18:05:34 -0700
Subject: [PATCH] add jobs

---
 _cite/.cache/cache.db | Bin 73728 -> 73728 bytes
 index.md              |   7 ++++++-
 2 files changed, 6 insertions(+), 1 deletion(-)

diff --git a/_cite/.cache/cache.db b/_cite/.cache/cache.db
index e12d5b2ce14e7715f7c53428b527320fd61b4b28..d74584dc4d58544bb68d69fd75e6d5bf2c9dc7d1 100644
GIT binary patch
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diff --git a/index.md b/index.md
index 219cce9..0d6f7d2 100644
--- a/index.md
+++ b/index.md
@@ -1,12 +1,17 @@
 ---
 ---
 
-We are a computational genomics lab at the University of Colorado, [Department of Biomedical Informatics](https://medschool.cuanschutz.edu/dbmi/).
+# Current job postings, closing soon!  
+- [Genomics Software Developer (Data Scientist)](https://cu.taleo.net/careersection/2/jobdetail.ftl?job=35396&lang=en)
+- [Genomics Data Analyst (Information Sciences Professional)](https://cu.taleo.net/careersection/2/jobdetail.ftl?job=35393&lang=en)
 
 We are **currently recruiting** postdocs, staff scientists and students. If you're passionate about rare disease genomics and computational method development, please get in touch!
 
+
 # Welcome to the Dashnow Lab
 
+We are a computational genomics lab at the University of Colorado, [Department of Biomedical Informatics](https://medschool.cuanschutz.edu/dbmi/).
+
 We develop and apply computational methods for the diagnosis and discovery of the genetic basis of rare diseases. The lab has a special emphasis on Short Tandem Repeats and other hard-to-genotype variants. 
 
 Typically ~50% of individuals with rare diseases do not receive a genetic diagnosis. For many of these individuals, the causal variant lies in difficult-to-genotype repetitive regions, often variants or genes that have not yet been associated with a disease. Often the evidence for the variant is present in the sequencing data but is either not genotyped, filtered out as an error, or dismissed because it is difficult to interpret. We develop bioinformatic methods to close this gap in genomic analysis. Our research has the potential to transform lives by giving individuals and their families answers and hope for treatment after a long diagnostic odyssey.