R&D Software Engineer

  • Categoria professionale
    Infrastruttura IT / DBA - Sistemista applicativo
  • Data fine lavoro
  • Settore
    INDUSTRIA CHIMICA/ CHIMICA-FARMACEUTICA
  • Località
    Siena, Siena
  • Data inizio
  • Riferimento esterno
    R&DSOFTWAREENGINEER-0998-539

For a pharmaceutical company, we are looking for a

R&D Software Engineer

Purpose of the mission:
Supports Data Scientist and other scientific roles in R&D Area by designing, developing, integrating, optimizing and engineering scientific software applications, tools and libraries for Bioinformatics, Machine Learning and advanced data analytics and visualization.

Primary Tasks & Responsibilities:
- Accountable for the design, development, integration, optimization and engineering of one or more scientific software applications, tools and libraries for Bioinformatics and Machine Learning and advanced data analytics and visualization.
- Technical system owner of one or more scientific software application, tool, library for Bioinformatics and Machine Learning.
- First point of contact for issues and request for changes related to software systems under his/her accountability by stakeholders both within Data Science and Digital Innovation and external teams. Analyse business requirements and provide technical expertise by designing and implementing solutions for software systems, algorithms, advanced analytics as well as written standards and reports.

Minimum requirements:
- Bachelor in Engineering, Computer Sciences, Mathematics, Physics or equivalent or equivalent professional experience in the field
- Excellent software programming knowledge in at least two of the following programming languages: Python / Perl / R / Unix shell / Bash Scripting / Spotfire
- Excellent knowledge of: GIT and tools for distributed code versioning and continuous integration; Linux-based OS (preferred RHEL/SUSE/Ubuntu)and HPC systems.
- Strong knowledge of database systems (relational and/or No-SQL), data architectures and virtualization/containerization/orchestration systems (e.g. KVM, Docker, Kubernetes, etc.)
- Strong knowledge of Bioinformatics and Machine Learning widely used software applications
- Good knowledge of Machine/Deep Learning framework (e.g. TensorFlow, PyTorch, Keras, etc.).
- Ability to understand the scientific, biological and immunological context where the scientific software is used
- Strong analytical, problem solving and project delivery skills. Good networking, communication and presentation skills.

Temporary contract 1 year



Lingue conosciute:
Inglese: Parlato Ottimo - Scritto Ottimo - Comprensione Ottimo

Competenze:
Linguaggi di programmazione / Ambienti di sviluppo - PERL, livello Ottimo
Linguaggi di programmazione / Ambienti di sviluppo - Python, livello Ottimo

Disponibilità oraria: Full Time



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