Design, develop, and implement data pipelines, ETL/ELT processes, and data integration solutions
Contribute to data pipeline projects from inception to deployment, manage scope, timelines, and risks
Contribute to data models for biopharma scientific data, data dictionaries, and other documentation to ensure data accuracy and consistency
Optimize large datasets for query performance
Collaborate with global cross-functional teams including research scientists to understand data requirements and design solutions that meet business needs
Implement data security and privacy measures to protect sensitive data
Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
Collaborate with Data Architects, Business SMEs, Software Engineers and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions
Identify and resolve data-related challenges
Adhere to best practices for coding, testing, and designing reusable code/component
Explore new tools and technologies that will help to improve ETL platform performance
Participate in sprint planning meetings and provide estimations on technical implementation
Maintain documentation of processes, systems, and solutions

What we expect of you

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

Basic Qualifications:

Masters degree and 1 to 3 years of Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field experience OR
Bachelors degree and 3 to 5 years of Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field experience OR
Diploma and 7 to 9 years of Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field experience

Preferred Qualifications:

1+ years of experience in implementing and supporting custom software development for drug discovery

Functional Skills:

Must-Have Skills:

Proficient in General Purpose High Level Language (e.g. NodeJS/Koa, Python, Java, C#.NET)
Proficient in Javascript UI Framework (e.g. React or ExtJs)
Proficient in SQL (e.g. Oracle, PostGres or Databricks)
Experience in automated testing tools and frameworks (e.g. Jest, Playwright, Cypress or Selenium)

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
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

Professional Certifications

AWS Certified Cloud Practitioner preferred

Soft Skills:

Soft Skills:

AI Applications Engineer

Advanced Data Analyst