-
to create working prototypes. You may be comfortable working with software such as Linux, ROS, Python etc. You will be part of a diverse team who are responsible for designing, building, programming, testing
-
., epidemiology, computational biology, computer science, biostatistics, or other quantitative discipline). You should have experience developing software and maintaining deployments, and proficiency in Python, R
-
, physics, chemical engineering, computer science (chemistry-focused), or a related field. Strong programming skills in Python and C/C++ are required, along with experience in molecular simulations, machine
-
both technical and non-technical users Bonus points if you’ve worked with OpenSpecimen, REDCap, or iPassport, or if you have scripting skills (e.g., SQL, R or Python) This is a technical, hands-on role
-
, science) Bachelor’s degree (or equivalent) and be able to demonstrate substantial experience in data management. They will need to have demonstrated proficiency in computer programming (Python preferred
-
. You will have expertise in bioinformatics analysis of omics datasets, including single-cell and spatial multi-omics, and single-cell immune repertoire analysis. Experience and knowledge of python
-
Computer Science, Engineering or Data Science with professional experience demonstrating your expertise. For this role you will be working with Python and AWS so experience in these is essential. It will also be
-
experience writing in C++ and Python, using libraries including CUDA, ROS, ROS 2, PyTorch, etc. You will be able to create and debug large software projects, and can write interfaces to integrate sensors
-
single-cell immune repertoire analysis. Previous experience applying machine learning/AI methods, including experience and knowledge of python programming, is essential. Experience of developing
-
of omics datasets, including single-cell and spatial multi-omics. Previous experience applying machine learning/AI methods, including experience and knowledge of python programming, is essential. Experience