15h Left Specialist Software Engineer

Job Description

As a Specialist Software Engineer, you will join a collaborative team developing and supporting the next generation of safety platforms and supporting technologies. In this role, you will be responsible for designing, developing, and deploying complex software applications, and mentoring junior developers. You will work closely with the business to develop high-quality, scalable, and maintainable solutions.

Roles & Responsibilities:

- Design, develop, and deploy applications to support pharmacovigilance systems.
- Develop and maintain solutions to enhance E2E data reconciliation, ensuring consistency and accuracy across systems related to adverse events/product complaints.
- Develop innovative solutions using generative AI technologies including large language models (LLMs) like OpenAI GPT.
- Using strong rapid prototyping skills, quickly translate concepts into working code.
- Contribute to both front-end and back-end development using cloud technologies.
- Conduct code reviews to ensure code quality and consistency to standards.
- Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations.
- Identify and resolve technical challenges effectively.
- Stay updated on industry trends, emerging trends, and standard processes for pharmacovigilance systems.
- Work with partners to identify and prioritize system enhancements and new functionalities to meet evolving business needs of drug-systems.
- Find opportunities for automation and process improvements within the drug-safety ecosystem.
- Overall accountability of technical implementation aspects of projects including planning, architecture, design, development, and testing to follow IS Change Control and GxP validation process.
- Collaborate with the delivery and platform teams to ensure that the applications are aligned with approved architectural and development guidelines.
- Maintain knowledge of market trends and developments in web application development frameworks and related and new technologies to provide, recommend, and deliver standard methodology solutions.
- Responsible for supporting technical root cause analysis and work with software vendors to resolve Pharmacovigilance systems related issues.

What we expect of you

- Master's degree with 4 to 6 years of experience in Computer Science, software development, or related field OR
- Bachelor's degree with 6 to 8 years of experience in Computer Science, software development, or related field OR
- Diploma with 10 to 12 years of experience in Computer Science, software development, or related field.

Must Have Skills:

- Experienced in database programming languages and data modeling concepts, including Oracle SQL and PL/SQL.
- Experienced with reporting tools such as Tableau, Cognos, Business Objects.
- Experienced in one or more general programming languages, including but not limited to Java or Python.
- Excellent problem-solving skills and a commitment to resolving challenges.
- Knowledge of Artificial Intelligence (AI), Robotic Process Automation (RPA), Machine Learning (ML), Natural Language Processing (NLP), and Natural Language Generation (NLG) automation technologies with building business requirements.
- Extensive experience with SDLC.
- Collaborative spirit and effective communication skills to seamlessly work in a cross-functional team.
- An ongoing commitment to learning and staying at the forefront of AI/ML advancements.
- Experience with Application Programming Interface (API integrations) such as MuleSoft and Extract Transform Load (ETL tools) as Informatica platform, and Databricks.
- Outstanding ability to explain technical concepts to non-technical clients.

Good to Have Skills:

- 3+ years of experience with COTS Pharmacovigilance Platforms (for example Argus, ARISg) is a plus or other safety database.
- Experienced in managing GxP systems and implementing GxP projects.

Certification:

- Certified SAFe Agile Software Engineer.

Soft Skills:

- Strong verbal and written communication skills.
- Excellent analytical and problem-solving skills.
- Ability to work effectively with global, virtual teams.
- Ability to deal with ambiguity and prioritize.
- Team-oriented, with a focus on achieving team goals.
- Ability to influence and drive to an intended outcome.
- Ability to hold peers accountable to commitments.

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