Scientific Python developer

University of Luxembourg
Luxembourg Centre For Systems Biomedicine (LCSB)
Luxembourg Belval
wwwfr.uni.lu/lcsb

Description

The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The University was founded in 2003 and counts more than 6,700 students and more than 2,000 employees from around the world. The University’s faculties and interdisciplinary centres focus on research in the areas of Computer Science and ICT Security, Materials Science, European and International Law, Finance and Financial Innovation, Education, Contemporary and Digital History. In addition, the University focuses on cross-disciplinary research in the areas of Data Modelling and Simulation as well as Health and System Biomedicine. Times Higher Education ranks the University of Luxembourg #3 worldwide for its “international outlook,” #20 in the Young University Ranking 2021 and among the top 250 universities worldwide.

Within the University, the Luxembourg Centre for Systems Biomedicine (LCSB) is a highly interdisciplinary research centre (IC), integrating experimental biology and computational biology approaches in order to develop the foundation of a future predictive, preventive and personalized medicine.

We are looking for an experienced Python developer to work in the scientific research projects and application development including data curation & extract-transform-load (ETL) pipelines, data analysis, sharing and exploration platforms. The developer will be involved in the globally important projects like ORCHESTRA (orchestra-cohort.eu/).

Your Role:

Contribute to the collection of users’ requirements and design of new features
Write reliable and efficient code to support project deliverables and application development
Work closely with other team members aiming for a high level of quality and user satisfaction
Understand the challenge and propose a solution if necessary
Design and develop tests using test automation suits
Become a key actor of continuous improvement and innovation within the group

What we expect from you:

A University Master’s degree or equivalent, preferably in computation, bioinformatics, or mathematics with the relevant programming knowledge in Python
A technology enthusiast with wide technological adaptability
Autonomous, dynamic and curious
Specific requirement - Python – Strong industrial or academic research experience in Python using following technologies or libraries (must have)
Python datatypes and data-structure
Python iterators and functions
Python object and classes
Numpy and Pandas
Additional Python requirements (recommended)
Data science packages including Scikit-learn
Web framework including Flask and/or Django
Working knowledge of connecting with data-base systems
Working knowledge of LINUX based systems
Shell and/or Awk
Experience in deploying applications
Working knowledge of code versioning systems (e.g. git)
Expertise in the following is considered an advantage but is NOT mandatory:
Working knowledge of clinical, pharma, or biological data
R & Bioconductor
RDBMS, SQL
NoSQL databases like Mongo, REDIS
Elastic

In return you will get:
A fully funded Scientific Application Developer position with a competitive salary based on the candidate's experience
Valuable experience in EU Commission funded projects and pandemic response preparedness initiatives
Participate in the building of state-of-the-art translational medicine platform to enable precision medicine
An opportunity to join the fast-growing Bioinformatics Core Facility group headed by Dr. Reinhard Schneider at LCSB
A multidisciplinary environment which encourages learning, exploration, and initiatives
A truly international team
Modern, bright, and no-cubicle office room at Belval, Luxembourg

In Short:

Contract Type: Fixed Term Contract 36 Month
Work Hours: Full Time 40.0 Hours per Week
Location: Belval
Internal Title: Research and development specialist
Job Reference: UOL04452

How to apply:

Online applications should be addressed to: Prof. Dr. Reinhard Schneider, Head of the Bioinformatics Core Facility and Head of the ELIXIR-Luxembourg Node.

We encourage early application. To ensure full consideration, candidates should apply by October, 31st 2021.

Applications (in English) should contain the following documents:

A detailed curriculum vitae
Cover letter mentioning the reference number
List of software projects and/or publications
Description of past experience and future interests
Name and addresses of three referees

All applications will be handled in the strict confidentiality. Please apply formally through the HR system. Applications by email will not be considered.

The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.

Further information:

For further information, please contact:

Dr. Venkata Satagopam (venkata.satagopam@uni.lu), Research Scientist, Bioinformatics Core Facility and Technical coordinator of the ELIXIR-Luxembourg Node.


Qualifications


A University Master’s degree or equivalent, preferably in computation, bioinformatics, or mathematics with the relevant programming knowledge in Python
A technology enthusiast with wide technological adaptability
Autonomous, dynamic and curious
Specific requirement - Python – Strong industrial or academic research experience in Python using following technologies or libraries (must have)
Python datatypes and data-structure
Python iterators and functions
Python object and classes
Numpy and Pandas
Additional Python requirements (recommended)
Data science packages including Scikit-learn
Web framework including Flask and/or Django
Working knowledge of connecting with data-base systems
Working knowledge of LINUX based systems
Shell and/or Awk
Experience in deploying applications
Working knowledge of code versioning systems (e.g. git)
Expertise in the following is considered an advantage but is NOT mandatory:
Working knowledge of clinical, pharma, or biological data
R & Bioconductor
RDBMS, SQL
NoSQL databases like Mongo, REDIS
Elastic


Start date

As soon as possible

How to Apply

Please apply ONLINE. Applications sent by e-mail will not be considered.
Online applications should be addressed to: Prof. Dr. Reinhard Schneider, Head of the Bioinformatics Core Facility and Head of the ELIXIR-Luxembourg Node.


Contact

Dr. Venkata Satagopam
venkata.satagopam@uni.lu