Job Skills: Programming in R
As the leader in the liquid biopsy field Guardant Health has information about the mutational landscapes of over 30,000 patients. We are looking for someone who can help develop and validate statistical and machine learning algorithms to use this data in combination with external data sources to enable breakthroughs in cancer patient care. [More]
The Staff Scientist, Bioinformatics main responsibility is to work within the bioinformatics team to develop, improve and maintain tools, pipelines and software for the analysis of complex NGS datasets that meet or exceed the quality expectations and regulatory requirements for molecular diagnostic assays and research products. [More]
We are seeking a talented and highly motivated bioinformatics scientist to join the scientific data analytics team at Omicsoft, a QIAGEN company. This position will be based in Cary, North Carolina with the primary responsibility to develop data analysis plans/pipelines for high-throughput genomics data from multiple disease areas. [More]
QIAGEN/Omicsoft is seeking a highly motivated and experienced bioinformatics scientist who can contribute his/her own unique perspectives to our collective understanding of genomics data for biomedical researches. The primary responsibility is to understand genomics data from varied disease areas, and to develop data analysis plans/pipelines to generate biological meaningful results and visualizations. [More]
The Duke Human Vaccine Institute (DHVI) is searching for a candidate who will be responsible for performing a variety of bioinformatics analyses related to vaccine design. DHVI is recognized as a world-leading organization in vaccine development with an infectious disease vaccine candidate portfolio that includes HIV-1, influenza, and malaria. The candidate will work with an interdisciplinary team of scientists supporting the analysis of large data sets and providing specialized bioinformatics solutions. [More]
The successful candidate for this position will support software development activities for Clinical Virology Data Systems and analysis of Viral Sequencing datasets. The candidate will work with Bioinformatics Scientists to develop and test data analysis pipelines and methods used for investigation of viral subpopulations and drug resistance in clinical samples. [More]
Our client in Raleigh is looking for a data scientist to join their growing IT team. Requirements: MS degree in quantitative discipline (e.g., statistics, bioinformatics, computational biology, computer science, mathematics, physics) or equivalent experience; 2 years relevant work experience (e.g., as a statistician / computational biologist / data scientist). [More]
The Research Fellow will participate in the fields of computational and systems biology and cancer genomics within the Department of Biology. The incumbent will assist the laboratory Principal Investigator (PI) in new and on-going research projects in the laboratory; will develop a two-year project that complements the lab's on-going work; and will participate in and assist with the organization of the laboratory's software development efforts. [More]
A fellowship opportunity is available with the Laboratory Branch of the Division of HIV/AIDS Prevention (DHAP) within the National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention (NCHHSTP) at the Centers for Disease Control and Prevention (CDC) in Atlanta, Georgia.This fellowship offers the opportunity to join a high-priority, high-impact issue in domestic HIV, hepatitis, tuberculosis (TB) and sexually transmitted disease (STD) surveillance. [More]
Master’s level research position in computational biology focused on cancer genomics is available at the Dana-Farber Cancer Institute/Harvard Medical School for a highly motivated, hard-working, individual. The position will be jointly co-mentored by Dr Rani George (Pediatric Oncology) and Dr Kwok-Kin Wong (Medical Oncology). The successful candidate will apply computational solutions for integrative analysis of gene expression, RNAseq, and ChIPseq data to gain mechanistic insights into the effect of drug treatment in altering the transcription factor activities, epigenetic patterns, and pathway activities in cancer cells. [More]