Research Associate - Bioinformatics Scientist
Job posting number: #7089357
Posted: November 17, 2021
Application Deadline: Open Until Filled
Job DescriptionThe laboratory of Prof. Peter Park is looking for a motivated Bioinformatics Scientist to join the Department of Biomedical Informatics at Harvard Medical School, for an exciting opportunity in steering how clinical genomics data will be organized, curated, and displayed in a new genomics analysis platform.
Genome sequencing is becoming a routine approach for diagnosing genetic diseases, as well as discovering new disease mechanisms. As the number of patients referred to genetic screening is increasing, there is a clear need to build effective solutions to manage their data for clinical applications. The same data also provides opportunities for research and discovery.
The Clinical Genomic Analysis Platform (CGAP) at Harvard Medical School is envisioned as a scalable research and clinical web-based application for analysis, annotation, visualization, and reporting of genomic data. CGAP is developed by a multidisciplinary team of clinical geneticists, bioinformatic scientists and software engineers. The working environment combines the best features of a startup with those of one of the leading medical schools.
CGAP is currently seeking a full-time Bioinformatics Scientist to enhance analysis of DNA sequencing data for our growing Genomics Program. The scope of this role will include developing, automating and implementing leading edge genetic software tools, which are essential to annotation of genetic variance of patients with a genetic disease and cancer.
Required skills & experience:
-PhD or MA in Biology, Bioinformatics, or a related field.
-Technical expertise in genetics, molecular biology, bioinformatics or related field.
-Strong programming skills; capable of conceiving of, implementing and optimizing program operating on large data sets.
-Proficiency in LINUX operating systems and related scripting languages.
-Proficiency in Python, C/C++ and at least one analysis language (R or MATLAB).
-Experience in high performance computing, clusters and cloud computing.
-Expertise analyzing genetic and/or gene expression data and next generation sequencing data.
-Experience with REST APIs, relational databases, software development environments, and version control.
-Experience with software development for healthcare products as well as familiarity with common clinical scenarios, regulatory and quality standards, payer and provider considerations.
-Ability to understand scientific literature, experimental procedures and their limitations, and current needs of the research community.
-Strong verbal and written communication skills.
Please send a cover letter and resume to Dominik Glodzik at [email protected]
Harvard Medical School strives to cultivate an environment that promotes inclusiveness and collaboration among students, faculty and staff and to create new avenues for discussion that will advance our shared mission to improve the health of people throughout the world.