Sr Associate Software Engineer - R&D Omics

Roles and Responsibilities

• Develop software to transform and visualize omics (genomics, proteomics, transcriptomics) data using programming languages such as Python, Java, R.
• Develop data processing pipelines for large datasets in the cloud (e. g. Nextflow); integrate with other data sources where applicable
• Collaborate with the other engineering team members to ensure all services are reliable, maintainable, and well-integrated into existing platforms
• Adhere to best practices for testing and designing reusable code

What we expect of youWe are all different, yet we all use our unique contributions to serve patients. The professional we seek is a with these qualifications.

Basic Qualifications:

Masters degree / Bachelors degree and 5 to 9 years Software Development, IT, or related field,

Must Have Skills

• Proficiency in code development (Python, R) and the software development lifecycle
• Proficient with SQL and relational databases (e. g PostgreSQL, MySQL, Oracle)
• Experience with command-line interface on Linux-based systems

Preferred Skills

• 2+ years of experience in biopharma or life sciences
• Experience in RESTful API development e. g flask, MuleSoft
• Experience in pipeline development using one or more of the following programming languages (Python, Nextflow, etc)
• Experience with Databricks
• Experience with cloud computing platforms and infrastructure
• Experience with Application development (Django, RShiny, Ploty Dash, etc)
• Work experience in the biotechnology or pharmaceutical industry.
• Experience using and adopting Agile Framework

Soft Skills:

• Strong learning agility, ability to pick up new technologies used to support early drug discovery data analysis needs
• Collaborative with good communication skills.
• High degree of initiative and self-motivation.
• Ability to manage multiple priorities successfully.
• Team-oriented with a focus on achieving team goals.