Senior Associate Software Engineer - Biological Studies (In Vitro)

This position 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. The ideal candidate possesses experience in the pharmaceutical or biotech industry, strong technical skills, and full-stack software engineering experience.

Roles & Responsibilities

• Software Development:

  Design, develop, and implement applications and modules, including custom reports, interfaces, and enhancements. You will possess strong rapid prototyping skills and can quickly translate concepts into working code, contributing to both

  front-end

  and

  back-end

  development.

• Architecture & Design:

  Analyze and understand the functional and technical requirements of applications, translating them into software architecture and design specifications. You will also create and maintain detailed documentation of software designs, code, and development processes.

• Testing & Quality Assurance:

  Develop and implement unit tests, integration tests, and other testing strategies to ensure the quality of the software. You will also be responsible for identifying and resolving software bugs and performance issues.

• Collaboration & Support:

  Work closely with cross-functional teams, including product management, design, and QA, to deliver high-quality software on time. You will also provide ongoing support and maintenance for applications, ensuring they operate smoothly and efficiently.

• Innovation & Continuous Improvement:

  Develop innovative solutions using

  generative AI technologies

  . Stay updated with the latest trends and advancements and explore new tools and technologies to improve platform performance.

Technical Skills

• Proficient in a General-Purpose High-Level Language (e.g.,

  Python, Java, C#.NET

  ).
• Proficient in a JavaScript UI Framework (e.g.,

  React, ExtJs

  ).
• Proficient in

  SQL

  (e.g., Oracle, PostGres, Databricks).
• Experience with

  event-based architecture

  (e.g., Mulesoft, AWS EventBridge, Kafka).
• Strong understanding of cloud platforms (e.g.,

  AWS

  ) 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).
• Experience with

  API integration

  ,

  serverless

  , and

  microservices architecture

  .
• Experience with

  Infrastructure as Code (IaC)

  tools (Terraform, CloudFormation) and version control systems like

  Git

  .
• Experience with automated testing tools and frameworks.
• Experience with

  Benchling

  is a plus.

Qualifications

• A Master's degree with relevant experience, a Bachelor's degree with extensive experience, or a Diploma with a substantial background in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics, or a related field.
• Experience in implementing and supporting biopharma scientific software platforms is preferred.
• Strong understanding of software development methodologies, mainly

  Agile and Scrum

  .

• AWS Certified Cloud Practitioner

  certification is preferred.

Soft Skills

• Problem-Solving:

  Excellent problem-solving, analytical, and troubleshooting skills.

• Communication:

  Strong communication, interpersonal, and presentation skills.

• Proactiveness:

  High degree of initiative and self-motivation, with the ability to learn quickly and work independently.

• Collaboration:

  Team-oriented, with a focus on achieving team goals and the ability to work effectively with global, virtual teams.

• Multitasking:

  Ability to manage multiple priorities successfully.