Job Description

We are looking for an aspiring and motivated senior software engineer to join the Department of Biomedical Informatics at Harvard Medical School, to build platforms for genome analysis. Genome sequencing is becoming a routine approach for diagnosing genetic diseases. As the number of patients referred to genetic screening is increasing, there is a need to build effective solutions to manage their data for clinical applications and discovery research.

The Park Lab has developed 3 platforms for the analysis of sequencing data. They are the Somatic Mosaicism Across Human Tissues Data Portal (SMaHT), the Clinical Genomic Analysis Platform (CGAP) and the 4D Nucleome (4DN) Data Portal. These data portals are scalable web-based applications for analysis, annotation, visualization, and reporting of genomic data. They are developed by a multidisciplinary diverse team of clinical geneticists, bioinformatic scientists and software engineers, and share the AWS cloud-based back-end. The working environment combines the best features of a startup (fast pace, flexibility, flat hierarchies) with those of one of the leading medical schools (excellent benefits, outstanding opportunities for learning).

You are an experienced senior software engineer who wants: 

• to lead and work in a small team of developers and scientists utilizing state of the art big data technologies and following best practices,
• to build an open-source data portal for genomics, 
• to gain practical experience with all the technologies the platform is based on, 
• to conduct systems analysis, design, development, and implementation of new web applications, 
• to take courses at the Harvard Extension school at very reasonable costs (optional), 
• to enjoy other excellent benefits Harvard University has to offer, 
• to contribute to science and healthcare through software engineering.

The responsibilities include: 

• Owning, developing and maintaining infrastructure and back-end for all various data portals
• Guiding decision making, driving development and prioritization of cross-functional features to support the SMaHT Data Portal
• Being self sufficient, owning features from end-to-end

The successful candidate will gain hand-on experience with, and master the following technologies: 

• Python 
• ElasticSearch/Postgres
• Cloud computing (using Amazon Web Services) 
• Docker 
• RESTful APIs (Pyramid)

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