Manager Software Engineering - Biological Studies

Software Engineering Lead

Key Responsibilities

• Lead, mentor, and grow a

  high-performing team of software engineers

  , fostering a culture of innovation, collaboration, and continuous learning.
• Take ownership of

  complex software projects from conception to deployment

  , managing scope, risk, and timelines effectively.
• Possess

  strong rapid prototyping skills

  , quickly translating concepts into working code.
• Contribute to both

  front-end and back-end development

  utilizing cloud technology.
• Develop innovative solutions using

  generative AI technologies

  .
• Conduct

  code reviews

  to ensure code quality and adherence to best practices.
• Create and maintain comprehensive documentation on

  software architecture, design, deployment, disaster recovery, and operations

  .
• Identify and resolve technical challenges effectively.
• Stay updated with the latest industry trends and advancements.
• Work closely with the product team, business team (including scientists), and other stakeholders.
• 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, translating them into software architecture and design specifications.
• Develop and execute unit tests, integration tests, and other testing strategies to ensure software quality.
• 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 smooth and efficient operation.

What We Expect of You

We are all different, yet we all use our unique contributions to serve patients.

Basic Qualifications and Experience:

• Master's degree

  with 4 - 6 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field

  OR

• Bachelor's degree

  with 6 - 8 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field

  OR

• Diploma

  with 10 - 12 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field

Preferred Qualifications and Experience:

• 2+ years of experience in managing technical teams

  .

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

  .
• 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 with

  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)

  .
• Working experience with

  DevOps practices and CI/CD pipelines

  .
• Experience with

  big data technologies

  (e.g., Spark, Databricks).
• Experience with

  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

  .
• Experience with

  automated testing tools and frameworks

  .
• Experience with

  Benchling, Revvity, IDBS, or similar LIMS/ELN platforms

  .

Professional Certifications:

• AWS Certified Cloud Practitioner or Solutions Architect (preferred).

Soft Skills:

• 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 and work independently.
• Team-oriented, with a focus on achieving team goals.
• Ability to manage multiple priorities successfully.
• Strong presentation and public speaking skills.