We believe that diverse perspectives are foundational to scientific innovation and inquiry.
We are building a company where exceptional scientists and industry leaders from around the world work side by side to advance a shared mission.
Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives.
At Altos, we are all accountable for sustaining a diverse and inclusive environment.
What You Will Contribute To Altos
Quantitative methods are at the core of modern biology. Computational tools for analysis of genomic and imaging data empower scientists, enabling them to interpret vast amounts of information generated by experimental assays, and ultimately, make discoveries that improve human health. Kharchenko lab is recruiting a Scientific Programmer who will help to develop, maintain, and apply state-of-the-art computational methods for analysis of single-cell genomics, spatially-resolved genomics, multiplexed imaging, and other modern biological assays. The Scientific Programmer will work closely with the scientists in the lab and our collaborators to build and improve analysis packages, most of which are released under open-source licenses to empower both Altos Labs investigators as well as wider scientific community.
Who You Are
Bachelor or Masters degree in a relevant field
General interest in scientific software, including analysis interfaces and interactive data visualization
Track record of developing and maintaining bioinformatics packages
Thorough knowledge of R and python, and experience with relevant repositories (e.g. CRAN)
Working knowledge of modern C++, Rcpp
Experience with linux, including basic system management
Integration of scientific tools with web servers, databases
Experience with modern ML libraries, including TensorFlow and Pytorch