🔵 BlueSoft is an innovative software house belonging to the Orange Group. We were established in 2002 and currently, over 1000 engineers work with us! We have extensive experience in various industries. Our clients include companies from the financial, pharmaceutical, retail, banking, transport, and logistics sectors. From simple support to complex digital transformations – we effectively address technical and business needs by using almost 200 advanced technologies.

Project description:

The main involvement will be to support the software development of a user-friendly platform large-scale bioimage analysis built on community-agreed open standards for image storage and visualization. The project management and work packages will be defined stakeholders in collaboration with the BioVision center at UZH in the context of IHB specifically, but also the broader pRED imaging needs. The work involves converting various microscopy image formats to OME-Zarr, wrapping image processing tasks such as Cellpose on CPU & GPU , contributing to a flexible task architecture that allows scalable processing on "HPC-like" computing back-ends, and the development of web GUIs to start workflows and navigate the data structures.

Responsibilities:

Experience with the application of image processing methods on biological datasets, with an emphasis on microscopy.
Experience in developing user-facing applications either with Python and/or web technologies (JS/HTML/CSS)
Knowledge of deep-learning and classical machine learning methods.
4+ years of working with programming language focused on data pipelines,eg. Python or R
4+ years of experience working with SQL
3+ years of experience in data pipelines maintenance
3+ years of experience with different types of storage (filesystem, relation, MPP, NoSQL) and working with various kinds of data (structured, unstructured, metrics, logs, etc.)
3+ years of experience in working in data architecture concepts (in any of following areas data modeling, metadata mng., workflow management, ETL/ELT, real-time streaming, data quality, distributed systems)
3+ years of cloud technologies with emphasis on data pipelines (Airflow, Glue, Dataflow - but also other smart solutions of handling data in the cloud - elastic, redshift, bigquery, lambda, s3, EBS etc.)
4+ years of experience working with SQL
1+ years of experience in Java and/or Scala
Very good knowledge of relational databases (optional)
Very good knowledge of data serialization languages such as JSON, XML, YAML
Excellent knowledge of Git, Gitflow and DevOps tools (e.g. Docker, Bamboo, Jenkins, Terraform
Capability to conduct performance analysis, troubleshooting and remediation (optional)
Excellent knowledge of Unix
Pharma data formats is a big plus (SDTM)

We offer:

👨‍💻 Work in a team of interdisciplinary experts and technology enthusiasts, inspired by working in a flat hierarchy;

📈 Permanent full-time cooperation in an extraordinary company, which has been growing dynamically for 20 years;

🚀 Possibility of development in various IT projects realized for well-known and recognizable clients – leaders in their industries;

🥇 The ability to work with the latest technologies and the highest standards of development;

⌚️ Flexible working hours and a hybrid or fully remote working model (different arrangements apply in different teams, we do not impose any options);

☁ A number of initiatives supporting knowledge sharing and development, such as: internal training, thematic guilds, Cloud training and certification opportunities (technology partnerships in four clouds);

📣 Possibility to learn English or German online and English lessons for teams;

🏋️‍♂️ Multisport card and medical insurance;

⛵️ Sea adventures co-financed by company – we regularly sail in the Caribbean, Mediterranean or North Sea.

Recruitment process: 4 steps 👣:

1️⃣ Phone call

2️⃣ Meeting with manager and expert(online)

3️⃣ Substantive feedback

4️⃣ Welcome on board🤸‍♀⛹‍♀🤾!

Recruiting remotely. Individual onboarding completely online 📢!

You can find the answers to some questions here. - ⏬Scrollto the bottom of the page.