FAQs
What programming languages should I be proficient in for this position?
You should be proficient in programming languages such as R and Python.
Are there specific Python libraries I need to be experienced with?
Yes, you should have experience with pandas, numpy, scanpy, anndata, and scikit-learn.
Is familiarity with deep learning frameworks necessary for this role?
Yes, being familiar with pytorch or keras is preferred, along with tools like scvi-tools or scarches.
What level of education is required for this position?
A Master's degree in bioinformatics, computational biology, proteomics, biochemistry, or a related field is required.
Will I need to analyze high-dimensional proteomics data?
Yes, you will perform advanced analysis of high-dimensional proteomics data, including techniques such as CyTOF and Mass Spectrometry.
Is experience with data analysis techniques specific to CyTOF or Flow Cytometry important?
Yes, familiarity with CyTOF, spatial CyTOF, and Flow Cytometry data analysis techniques is desirable.
Are there opportunities for scientific publications and presentations?
Yes, you will have the opportunity to contribute to the preparation of scientific publications and presentations for conferences.
Will I be collaborating with other teams in this role?
Yes, you will collaborate with multidisciplinary teams, including immunologists, data scientists, and biologists.
What type of work environment should I expect?
You should expect a dynamic, fast-paced research environment that requires a proactive and collaborative approach to problem-solving.
Is there support for diversity and inclusion within the company?
Yes, Actalent emphasizes diversity and inclusion as part of its culture and promotes an inclusive environment for all employees.