Software Engineer

Organization
Muse Biotechnology, Inc.
Job Location
Job Description

Muse Bio is building ForgeSuite, an enterprise-level genome design platform aimed at helping biochemical engineers rapidly search sequence space to find variants with improved catalytic and phenotypic profiles. Inside ForgeSuite, users will have access to several modules including ForgeCrafter and ForgeAnalyzer. Customers will input specifications for building libraries of genetic variants and place orders for DNA editing kits using ForgeCrafter. Once a library of genetic variants has been created, clients will analyze NGS results of phenotypic selection winners with ForgeAnalyzer, which can be used to inform subsequent rounds of variant design. ForgeSuite is a highly integrated platform, providing individual User and Group accounts and must ensure customer data is protected using bleeding edge security standards and best practices. 

            We are offering an outstanding opportunity for a highly motivated software engineer to join our team. Successful candidates will be responsible for building a security and penetration testing framework, ensuring security standards, optimizing data flow from server to client, analyzing and optimizing core algorithms, and optimizing database design. The ideal candidate will possess cloud architecture development and deployment modeling experience, a solid background mitigating network security risks and maintaining data encryption standards, a broad understanding of algorithm complexity analysis and optimization, machine learning, database design, and best practices in unit vs integration vs end-to-end testing. Cross-functional communication skills, and the ability to work on complex, multi-disciplinary teams is a key requirement for this role. 

 

Responsibilities

●      Security and penetration testing

●      Optimize data transfer

●      Refine server architecture

●      Manage AWS deployment

●      Enhance task manager for cost effective compute node usage

●      Develop active machine learning model to inform iterative genomic variant design

●      Optimize core design algorithms

●      Enhance database search capabilities

●      Present critical updates and rationale at weekly group meetings 

●      Thoughtful and timely review of team member code 

 

Qualifications

●      BS, MS, or Ph.D. in Computer Science with 3+ years industry experience

●      Working knowledge of internet security standards and best practices

●      Experience building cloud architectures (AWS) and deployment modeling 

●      Expert-level command of Python, SQL and Javascript (to review team member code and ensure smooth client to API communication)

●      Expert in version control using git and GitHub

●      Solid understanding of object oriented design patterns

●      3+ years analyzing, optimizing, and designing algorithms

●      2+ years machine learning experience and strong working knowledge of active ML approaches

●      Commitment to producing modular, clearly documented code using test-driven development best practices

How to Apply
About Our Organization

Nestled in the foothills of the Rocky Mountains in Boulder Colorado, Muse bio is revolutionizing genome engineering. Muse bio’s success is driven by the great people who work at the Company and our ability to recruit and retain additional highly qualified and motivated people. We offer an excellent compensation package including a competitive salary, company ownership, comprehensive benefits and the opportunity to be part of a dynamic growth company environment. Muse bio is an equal opportunity employee.

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