Specialist Software Engineer - Research Data and Analytics

Role Description:

The role is responsible for designing, developing, and maintaining software data and analytics applications that drive business decisions for Research. This position requires close collaboration with business analysts, scientists, and other engineers to create high-quality, scalable software solutions. Additionally, it involves automating operations, monitoring system health and responding to incidents to minimize downtime. 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).

Roles & Responsibilities:

• Take ownership of complex software projects from conception to deployment

• Manage software delivery scope, risk, and timeline

• Possesses strong rapid prototyping skills and can quickly translate concepts into working code

• Provide technical guidance and mentorship to junior developers

• Contribute to both front-end and back-end development using cloud technology

• Develop innovative solution using generative AI technologies

• 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

• 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

• 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

Basic Qualifications and Experience:

• Doctorate Degree OR

• 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:

• 3+ years of experience in implementing and supporting biopharma scientific research data analytics (software platforms)

Functional Skills:

Must-Have Skills:

• Hands-on experience with Full Stack software development. Proficient in programming language Node.js (preferred) or Koa.js, Python, React.js, SQL, PostgreSQL

• Experience in automated testing tools and frameworks (e.g., Selenium, Cypress, Jest)

• Strong understanding of software development methodologies, mainly Agile and Scrum

• Strong problem solving, analytical skills; Ability to learn quickly & work independently; Excellent communication and interpersonal skills

Good-to-Have Skills:

• 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)

• Experienced with API integration, serverless, microservices architecture

• 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

• Familiarity with Java development

Professional Certifications

AWS Certified Cloud Practitioner preferred

Soft Skills:

• Excellent analytical and troubleshooting skills

• Strong verbal and written communication skills

• Ability to work effectively with global, virtual teams

• High degree of initiative and self-motivation

• Ability to manage multiple priorities successfully

• Team-oriented, with a focus on achieving team goals

• Strong presentation and public speaking skills