Responsibities/Scope
Research IDS unites science with technology to accelerate LRL pipeline and to deliver therapeutic innovations. Our work helps researchers follow the science to understand the disease as well as to identify potential therapies. We achieve this by leveraging technology and platforms to streamline scientific experimentation. We organize and manage high-quality data to drive analysis. We build advanced analytics platforms for scientists to rapidly analyze and visualize data in a scalable and reproducible way.
As a software engineer, you will be part of the team in LCCI designing, building and operationalizing platforms for processing data and managing analytics. You will utilize best software engineering practices to bring rigour and automation to the platforms and systems you will build. You will be leveraging both on-prem and cloud-based infrastructure making right architecture decisions to help move science along faster. You will partner closely with Research IDS leadership, Infrastructure and Info-Security organizations to ensure that your architecture decisions align well. Most importantly, you will have the opportunity to work in a highly technical, high pace, team focused, and scientifically challenging areas to accommodate ever-changing research environment.
Basic Qualifications
Research IDS unites science with technology to accelerate LRL pipeline and to deliver therapeutic innovations. Our work helps researchers follow the science to understand the disease as well as to identify potential therapies. We achieve this by leveraging technology and platforms to streamline scientific experimentation. We organize and manage high-quality data to drive analysis. We build advanced analytics platforms for scientists to rapidly analyze and visualize data in a scalable and reproducible way.
As a software engineer, you will be part of the team in LCCI designing, building and operationalizing platforms for processing data and managing analytics. You will utilize best software engineering practices to bring rigour and automation to the platforms and systems you will build. You will be leveraging both on-prem and cloud-based infrastructure making right architecture decisions to help move science along faster. You will partner closely with Research IDS leadership, Infrastructure and Info-Security organizations to ensure that your architecture decisions align well. Most importantly, you will have the opportunity to work in a highly technical, high pace, team focused, and scientifically challenging areas to accommodate ever-changing research environment.
Basic Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or Information Management. Or equivalent technical experience in addition to Bachelor’s degree in Biology or Chemistry.
- 4-7 years of experience working in JavaScript (React JS with Redux), TypeScript & Python
- 2-3 years of experience using the Django REST Framework
- 2-5 years of experience working with SQL databases
- 2 years of experience working with cloud technologies including AWS or Microsoft Azure
- Expertise working with complex data and data integrations – API development experience preferred
- Demonstrated experience and deep knowledge of systems and the integrations between infrastructure technologies (i.e. servers, operating systems, networks, firewalls, security) and applications
- Previous experience utilizing DevOps in projects such as GitHub, Docker and Jenkins for CI/CD
- Experience working in an Agile team
Preferred Qualifications
- Pharmaceutical, healthcare industry, or molecular biology experience
- Understanding of bioinformatics, biochemistry, sequence analyses, nucleic acid therapeutics and antibody therapeutics
- Experience with workflow management platforms such as KNIME and Airflow
- Master’s degree in Computer Science Information Technology, Bioinformatics or equivalent work experience
- Experience working in regulated environment with internal systems quality policies and procedures
- Experience with one or more of the following frameworks Node.js, Express, Django, Flask, Angular, React, Vue, GraphQL, D3.js
- Linux server experience
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