Sr. Associate Software Engineer - Large Molecule Discovery

In this vital role you will 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 scientific software platforms that enable the capture, analysis, storage, and reporting for our Large Molecule Discovery Research team (Design, Make, Test and Analyze processes). The team also interfaces heavily with teams supporting our in vitro assay management systems and our compound inventory platforms. 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).

• Work closely with product team, business team including scientists, and other stakeholders
• Analyze and understand the functional and technical requirements of applications, solutions and systems and translate them into software architecture and design specifications
• Design, develop, and implement applications and modules, including custom reports, interfaces, and enhancements
• Develop and implement unit tests, integration tests, and other testing strategies to ensure the quality of the software
• Conduct code reviews to ensure code quality and adherence to best practices
• Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations
• Provide ongoing support and maintenance for applications, ensuring that they operate smoothly and efficiently
• Stay updated with the latest technology and security trends and advancements

We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications.

Basic Qualifications:

Master's degree / Bachelor's degree and 5 to 9 years in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field

Preferred Qualifications:

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

• Proficient in Python, with expertise in Python data analysis and visualization packages such as Panda, NumPy, Matplotlib, Dash, Streamlit or Posit.
• Proficient in SQL (PostgreSQL, Oracle etc.)
• Hands-on experience with big data platforms (Databricks, Apache Kafka, etc.)

• Experience with event-based architecture and serverless AWS services such as EventBridge, SQS, Lambda or ECS.
• Working experience integrating Large Language Models into applications.
• Strong understanding of software development methodologies, mainly Agile and Scrum
• Working experience with DevOps practices and CI/CD pipelines
• Experience of infrastructure as code (IaC) tools (Terraform, CloudFormation, etc.)
• Experience with monitoring and logging tools (e.g., Matomo, Prometheus, Grafana, Splunk, etc.)
• Experience with automated testing tools and frameworks

• Excellent problem solving, analytical, and troubleshooting skills
• Strong communication and interpersonal skills
• Ability to work effectively with global, virtual teams
• High degree of initiative and self-motivation
• Ability to learn quickly & work independently
• Team-oriented, with a focus on achieving team goals
• Ability to manage multiple priorities successfully
• Strong presentation and public speaking skills.