Integration Software Engineer

Barcelona - Spain

Monthly Salary: Not Disclosed

Posted on: 12 hours ago

Vacancies: 1 Vacancy

Job Summary

We are looking for a talented Integration Software Engineer to join our team on a dedicated project for one of our top clients in the pharmaceutical sector. You will play a key role in integrating mechanistic and data-driven models into our SMART PD platform helping to enhance its functionality user experience and impact on domain experts.

Main Responsibilities:

Integrate mechanistic and data-driven models on the SMART PD platform by restructuring and migrating original code to align with platform requirements functionalities and user interface.
Collaborate closely with domain users (process experts subject matter experts and modeling specialists) to gather information and translate it into actionable insights for model integration.
Develop and extend SMART PD features to improve adoption usability and satisfaction among users.
Write robust maintainable well-documented and production-ready code.
Conduct UX research to understand how features impact and enhance the experience of domain users.

Requirements

At least 3 years of relevant experience in a similar role.
Expertise in domains relevant to the pharmaceutical industry (Chemistry Pharmacology Medicine Bioinformatics).
Bachelors degree in Computer Science Software Engineering (Business-)Informatics Mathematics Physics Natural Sciences or equivalent.
Hands-on experience with Python programming and standard data science/machine learning libraries (NumPy pandas scikit-learn).
Experience with Python libraries for numerical analysis particularly differential equation solvers (e.g. SciPy).
Proficient in deploying models on cloud platforms (e.g. Databricks).
Proven ability to analyze document and manage functional and non-functional requirements translating them into technical specifications.
Familiarity with UX principles and user-centered design methodologies.
Knowledge of version control systems (e.g. Git).
Experience with containerization technologies (e.g. Docker Kubernetes).
Experience working in Scrum teams.
Strong analytical mindset and team-player attitude.
Excellent communication skills with both technical and non-technical stakeholders.
Fluent in English.

Required Skills:

Python Numpy Scipy databricks

Main Responsibilities:

Integrate mechanistic and data-driven models on the SMART PD platform by restructuring and migrating original code to align with platform requirements functionalities and user interface.
Collaborate closely with domain users (process experts subject matter experts and modeling specialists) to gather information and translate it into actionable insights for model integration.
Develop and extend SMART PD features to improve adoption usability and satisfaction among users.
Write robust maintainable well-documented and production-ready code.
Conduct UX research to understand how features impact and enhance the experience of domain users.

Requirements

At least 3 years of relevant experience in a similar role.
Expertise in domains relevant to the pharmaceutical industry (Chemistry Pharmacology Medicine Bioinformatics).
Bachelors degree in Computer Science Software Engineering (Business-)Informatics Mathematics Physics Natural Sciences or equivalent.
Hands-on experience with Python programming and standard data science/machine learning libraries (NumPy pandas scikit-learn).
Experience with Python libraries for numerical analysis particularly differential equation solvers (e.g. SciPy).
Proficient in deploying models on cloud platforms (e.g. Databricks).
Proven ability to analyze document and manage functional and non-functional requirements translating them into technical specifications.
Familiarity with UX principles and user-centered design methodologies.
Knowledge of version control systems (e.g. Git).
Experience with containerization technologies (e.g. Docker Kubernetes).
Experience working in Scrum teams.
Strong analytical mindset and team-player attitude.
Excellent communication skills with both technical and non-technical stakeholders.
Fluent in English.