Sr Associate Software Engineer - Biological Studies (LIMS)

Job Summary

The role is 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. You will join a multi-functional team of scientists and software professionals that enables technology and data capabilities to evaluate drug candidates and assess their abilities to affect the biology of drug targets. This team implements LIMS platforms that enable the capture, analysis, storage, and report of pre-clinical and clinical studies as well as those that manage biological sample banks. 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).

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 execute 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
• Customize modules to meet specific business requirements
• Work on integrating with other systems and platforms to ensure seamless data flow and functionality
• Provide ongoing support and maintenance for applications, ensuring that they operate smoothly and efficiently
• Possesses 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 solution using generative AI technologies
• Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations
• Identify and resolve technical challenges effectively
• Stay updated with the latest trends and advancements
• Work closely with product team, business team including scientists, and other stakeholders

Basic Qualifications and Experience

• Bachelors degree with 5 - 9 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field

Preferred Qualifications and Experience

• 1+ years of experience in implementing and supporting biopharma scientific software platforms

Functional Skills Must-Have Skills

• Proficient in a General Purpose High Level Language (preferably C#, .NET, OOPs based language)
• Proficient in SQL (e.g. Oracle, PostGres, Databricks)
• Proficient in a Javascript UI Framework (e.g. React, ExtJs)
• Experience developing APIs and working on an 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 on Labvantage application
• Hands-on experience with Full Stack software development
• Strong understanding of cloud platforms (eAWS) and containerization technologies (e.g., Docker, Kubernetes)
• Working experience with DevOps practices and CI/CD pipelines
• Experience with big data technologies (e.g., Spark, Databricks)
• Experiencewith API integration, serverless, microservices architecture(e.g.Mulesoft, AWS Kafka)
• Experience with monitoring and logging tools (e.g., Prometheus, Grafana, Splunk)
• Experience of infrastructure as code (IaC) tools (Terraform, CloudFormation)
• Experience with version control systems like Git
• Experiencewith automated testing tools and frameworks
• Experience with the implementation of LIMS/ELN platforms such as Benchling, Revvity, IDBS, STARLIMS, Watson, LabVantage, etc.
• Experience handling GxP data and system validation, and knowledge of regulatory requirements affecting laboratory data (e.g., FDA 21 CFR Part 11, GLP, GCP)

Professional Certifications

• AWS Certified Cloud Practitioner preferred

Soft Skills

• Excellent problem solving, analytical, and troubleshooting skills
• Strong communication and interpersonal skills
• Ability to work effectively with global, virtual teams