Author here! Would love to answer any questions and get your feedback. We think that intersection of systems and ml has a lot of potential and would love those thoughts as well. Thanks!
Parker Institute for Cancer Immunotherapy | San Francisco, CA | Software Engineer & Data Scientist | full time, ONSITE
Parker Institute for Cancer Immunotherapy (http://www.parkerici.org/) is a new organization formed to accelerate the cancer research effort. We are focused on immunotherapy - leveraging the patient's own immune system to fight disease.
We are building software engineering and data science teams. Software engineers will focus on data storage and retrieval, compute frameworks, and bioinformatics algorithm implementation.
To apply, email us with a description of your best programming project.
Data scientists will focus on:
1) building pipelines to process a wide range of biological data types and
2) leveraging bleeding edge machine learning and visualization algorithms to identify promising research directions, in very close collaboration with Parker Institute scientists. Working knowledge of basic biology and strong communication abilities are key.
To apply, tell us about a time you had to work with a large messy biological data set.
Parker Institute for Cancer Immunotherapy | San Francisco, CA | Software Engineer & Data Scientist | full time, ONSITE
Parker Institute for Cancer Immunotherapy (http://www.parkerici.org/) is a new organization formed to accelerate the cancer research effort. We are focused on immunotherapy - leveraging the patient's own immune system to fight disease.
We are building software engineering and data science teams.
Software engineers will focus on data storage and retrieval, compute frameworks, and bioinformatics algorithm implementation.
To apply, email us with a description of your best programming project.
Data scientists will focus on:
1) building pipelines to process a wide range of biological data types and
2) leveraging bleeding edge machine learning and visualization algorithms to identify promising research directions, in very close collaboration with Parker Institute scientists. Working knowledge of basic biology and strong communication abilities are key.
To apply, tell us about a time you had to work with a large messy biological data set.
Parker Institute for Cancer Immunotherapy | San Francisco, CA | Software Engineer & Data Scientist | full time, ONSITE
Parker Institute for Cancer Immunotherapy (http://www.parkerici.org/) is a new organization formed to accelerate the cancer research effort. We are focused on immunotherapy - leveraging the patient's own immune system to fight disease.
We are building software engineering and data science teams.
Software engineers will focus on data storage and retrieval, compute frameworks, and bioinformatics algorithm implementation.
To apply, email us with a description of your best programming project.
Data scientists will focus on:
1) building pipelines to process a wide range of biological data types and
2) leveraging bleeding edge machine learning and visualization algorithms to identify promising research directions, in very close collaboration with Parker Institute scientists. Working knowledge of basic biology and strong communication abilities are key.
To apply, tell us about a time you had to work with a large messy biological data set.
Hi! Do you know if there are any scientist (or associate scientist) positions open? I'm doing direct work with a collaboration from Dr. June's team and my current company.
"We assume a model of reliable communication—messages cannot be lost (only delayed). This is a reasonable assumption if
we consider a reliable protocol, such as TCP."
Duplicated and lost messages will happen in practice - TCP attempts to build reliable communication on an unreliable medium. Not clear from the paper if this matters.
I think the larger misunderstanding of the paper is the requirement that paxos have a leader - lamport's synod algorithm does not require a leader, the leader is an optimization!
Without a long-lived leader, the performance would be so bad that I doubt there is a single production implementation that doesn't use that optimization.
Parker Institute for Cancer Immunotherapy | San Francisco, CA | Software Engineer & Data Scientist | full time, ONSITE
Parker Institute for Cancer Immunotherapy (http://www.parkerici.org/) is a new organization formed to accelerate the cancer research effort. We are focused on immunotherapy - leveraging the patient's own immune system to fight disease.
We are building software engineering and data science teams.
Software engineers will focus on data storage and retrieval, compute frameworks, and bioinformatics algorithm implementation. To apply, email us with a description of your best programming project.
Data scientists will focus on: 1) building pipeline to process a wide range of biological data types 2) leveraging bleeding edge machine learning algorithms to identify promising research directions 3) communicating these results to clinical and biological researchers. To apply, email us about a time you had to work with a large messy biological data set.
Parker Institute for Cancer Immunotherapy | San Francisco, CA | Software Engineer & Data Scientist | full time, ONSITE
Parker Institute for Cancer Immunotherapy (http://www.parkerici.org/) is a new organization formed to accelerate the cancer research effort. We are focused on immunotherapy - leveraging the patient's own immune system to fight disease.
We are building software engineering and data science teams.
Software engineers will focus on data storage and retrieval, compute frameworks, and bioinformatics algorithm implementation.
If you think stuff like this is cool, and you'd like to be a part of the software engineering effort at Parker Institute for Cancer Immunotherapy, msg me. [email protected]
We are building out our platform for bioinformatics. Some engineering topics:
* Large scale data processing (Cloud & on-prem HPC based)
* Bioinformatics / ML algorithms
* Data storage & retrieval (File systems & databases)
Yes, please elaborate on what the software engineering effort involves! Is this a bioinformatics thing? What kind of work does it involve? Does it require a strong theoretical background? etc.
I've got a background in machine learning (NLP, and a little bit of vision) and electrical engineering, but I know very little about biology. Essentially, all I know is a working knowledge based on what I remember from high school. However, I'm incredibly fascinated by some of these recent developments in making biology more computational! I've started working through some Coursera courses on bioinformatics systems biology, and have been totally engrossed so far!
I noticed that the Parker Institute is a non-profit? I was curious what kind of ramp-up path you offer people like me, with a background in ML, and are excited to learn some more biology if they join the team? Since you're a non-profit, I was wondering if there'd be any interest in helping to curate a bunch of links/resources/etc. so people like me can learn and ramp-up in our spare time? I guess I'm wondering if it's difficult to hire for this role. So maybe other non-profits, e.g. J. Craig Venter Institute may also be interested in helping to curate these resources to help increase supply of possible hires?
