Tercen is technology start-up with a distributed working model that has people working full-time and part-time. We have developed a software platform aimed at supporting bioinformaticians with automation tools, and helping non-coding scientists get up the data-analysis learning curve.
We are looking for a Data Scientist, Software Developer, or Bioinformatician who has experience with computational biology for Flow Cytometry. The purpose is to have the candidate code plug-ins for our software that focus specifically on analysis of Flow Cytometry data.
The job will include R implementation of bioinformatics algorithms R-Shiny applications Documentation of the software life-cycle
Scientific domain knowledge in Flow Cytometry is a requirement. The successful candidate ideally will have two years bioinformatics experience in this field. Alternately, it is acceptable for a candidate (with strong coding skills) to have experience working with Flow Cytometry laboratory equipment in a non-coding role.
Coding experience that we see as essential Familiarity with the R tidyverse, Rshiny and Rstudio Working with GitHub Software development using standard operating procedures.
Domain Experience we see as essential Flow Cytometry.
Coding experience we see as advantageous Python and SQL Scientific workflow software tools (such as FlowJo or FCS Express) HPC and/or cloud computing.
Start Date: As soon as you are available.
Application. If you are interested please send your CV and cover letter to faris.naji@tercen.com
Remuneration: This position is contract based and structured for remote-work. Contract length, hours worked, and remuneration can be negotiated based on the candidate’s availability and experience.
Freelance consultants are welcome to apply.
