Accountabilities:

* Perform analysis of new projects to establish data preparation requirements and design appropriate solutions.
* Conduct data wrangling, cleaning, filtering, joining, transforming, etc., to build new datasets that enable high-quality scientific research workflows.
* Generate reusable code/tools for use in subsequent projects.
* Plan and execute testing plans, including unit testing and user acceptance testing, to guarantee the quality of outputs.
* Actively contribute to maintaining a culture of collaboration and inclusion.

Essential Skills/Experience:

- Certificate of Disability equal or superior to 33%.

- MSc or PhD in life sciences related subject.


- Excellent skills in R or Python programming.


- Excellent communication skills.


- Experience working with Real-World Data.




Desirable Skills/Experience:

- Experience developing R/Python packages.


- Experience with databases or cloud computing.


- Solid grasp of data science workflows.