Sr. Associate Software Engineer

5 days ago

Hyderabad, Telangana, India Amgen Inc Full time ₹ 15,00,000 - ₹ 25,00,000 per year

*What you will do*

In this vital role you will be responsible for Research Informatics and you will be responsible for development and maintenance of software in support of target/biomarker discovery at Amgen

  • 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 you*

We are all different, yet we all use our unique contributions to serve patients. This role requires proficiency in code development (e.g. Python, R, etc), and some knowledge of CI/CD processes and cloud computing technologies (e.g. AWS, Google Cloud, etc). Additionally, the ability to work with cross functional teams and experience in agile practices is desired.

Basic Qualifications:

  • Masters degree and 1 to 3 years of in Software Development, IT, or related field, OR
  • Bachelors degree and 3 to 5 years of in Software Development, IT, or related field, OR
  • Diploma and 7 to 9 years of in Software Development, IT, or related field.

Preferred Qualifications:

  • 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.

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