Sr Associate Software Engineer - Biological Studies (In Vivo)

In this vital role, you'll be responsible for designing, developing, and maintaining software solutions for Research scientists. Additionally, it involves automating operations, monitoring system health, and responding to incidents to minimize downtime.

Key Responsibilities

• Design, develop, and implement applications and modules, including custom reports, interfaces, and enhancements.
• Analyze and understand the functional and technical requirements of applications, solutions, and systems, and translate them into software architecture and design specifications.
• Develop and implement unit tests, integration tests, and other testing strategies to ensure the quality of the software.
• Identify and resolve software bugs and performance issues.
• Work closely with cross-functional teams, including product management, design, and QA, to deliver high-quality software on time.
• Maintain detailed documentation of software designs, code, and development processes.
• Possess strong rapid prototyping skills and can quickly translate concepts into working code.
• Contribute to both front-end and back-end development using cloud technology.
• Develop innovative solutions using generative AI technologies.

What We Expect of You

We are all different, yet we all use our unique contributions to serve patients. The ideal candidate possesses experience in the pharmaceutical or biotech industry, strong technical skills, and full-stack software engineering experience (spanning SQL, back-end, front-end web technologies, automated testing).

Basic Qualifications

• Master's degree with 1 - 3 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics, or a related field OR
• Bachelor's degree with 4 - 6 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics, or a related field OR
• Diploma with 7 - 9 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics, or a related field

Preferred Qualifications

Must-Have Skills

• Proficient in R.
• Proficient in a General Purpose High-Level Language (e.g., Python, Java, C#.NET).
• Proficient in SQL (e.g., Oracle, PostgreSQL, Databricks).
• Experience with event-based architecture (e.g., Mulesoft, AWS EventBridge, AWS Kinesis, Kafka).

Good-to-Have Skills

• Strong understanding of software development methodologies, mainly Agile and Scrum.
• Hands-on experience with Full Stack software development.
• Strong understanding of cloud platforms (e.g., AWS) and containerization technologies (e.g., Docker, Kubernetes).

Professional Certifications

• AWS Certified Cloud Practitioner preferred.