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Lead software engineer at Gene Security Network (Redwood City, CA)

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Company
Gene Security Network

Education and Skill Set
Advanced software design and coding skills are essential, as well as rudimentary-level knowledge of statistics and thorough knowledge of Matlab. Knowledge of biological sciences is a big plus.

Compensation
Starting salary $80k-$120k, depending on qualifications and equity package.
Employee
Type Full-time

Reqd Travel:
No

Industry
Healthcare, Biotechnology, Complex Genetic Diagnosis

Location:
Redwood City, San Francisco Bay Area, with second office in Manhattan

Required Experience At least 5 years experience designing and coding production-quality software systems.

Managing Others
Initially no, but given range of production challenges and rapid growth, this could quickly grow to management position.


The Organization

Gene Security Network has developed a disruptive and proprietary technology to screen embryos for multiple genetic disorders and disease susceptibilities in the context of in-vitro fertilization (IVF). This approach involves analyzing DNA with high throughput genetic screens and advanced statistical techniques to reliably determine key disease-related genetic markers and chromosome copy numbers from a single cell. The technology enables clinicians at IVF centers to select embryos with the highest probability of becoming healthy babies, and enables parents to have children that do not have susceptibility to genetic conditions that are of concern to the family. The team consists of roughly 20 doctors, statisticians, geneticists, laboratory technicians and software engineers mostly from Stanford, MIT and UCSF. Our technology has been funded by three grants from the National Institute of Health, partner IVF centers, a private investor who heads Google health, the healthcare-focused venture capital firm CCV and the renowned Sequoia Venture Capital. GSN will begin offering this service for the five leading IVF centers around the United States in 2008. We will then offer the service internationally.


Description

You will be responsible for designing and overseeing the implementation of a software framework that simultaneously supports the research efforts of the statistics group as well as the core production-level code that is central to the companys operations. This will involve leveraging your experience in the design and implementation of tight, modular, production-quality software systems in Matlab, your ability to mentor and disseminate a culture of good coding style and practices, as well as your knowledge of basic statistics. In addition to being responsible for all high-level software design decisions within the statistics group, you will be doing a lot of hands-on coding of statistical algorithms, turning prototypes into production-quality systems, creating data analysis tools to support research, and helping others improve their own coding skills.


Working Conditions

The team is a highly motivated and highly skilled group of professionals based in the San Francisco Bay Area but with members located around the world, including New York and Boston. The entire team meets virtually (Instant Messenger and conferencing) regularly during the week and in person once a month in Redwood City, CA.


Qualifications

You must possess an excellent software design aesthetic and in-depth knowledge of Matlab, which means you probably have an MS or PhD in computer science. You must also possess several years of experience developing production-quality software systems. You must have the ability to work in a team, and also to operate independently in setting priorities and developing goals.


Equal Opportunity

Gene Security Network affords equal employment opportunities to all qualified persons, regardless of race, color, religion, national origin, age, sex, disability, sexual orientation, gender expression, veteran or marital status.

Source: Joel On Software


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