Hail VS zotero

I don't have any funding to hire right now, but I'm always happy to chat about the industry and my experience building Hail (https://hail.is, https://github.com/hail-is/hail), a tool widely used by folks with large collections of human sequences.

The other posters are not wrong about compensation. Total compensation is off by a factor of two to three.

However, it is absolutely possible to work with a group of top-notch engineers on serious distributed systems & compilers in service of an excellent scientific-user experience. I know because I do. We are lucky to have a PI who respects and hires and diversity of expertise within his lab.

I enjoy being deeply embedded with our users. I do not have to guess what they need or want because I help them do it every day.

I also enjoy enmeshing engineering with statistics, mathematics, and biology. Work is more interesting when so many disciplines conspire towards the end of improved human health.

I think this post is identifying scientific computing with simulation studies and legacy workflows, to a fault. Scientific computing includes those things, but it also includes interactive analysis of very large datasets as well as workflows designed around cloud computing.

Interactive analysis of large datasets (e.g. genome & exome sequencing studies with 100s of 1000s of samples) is well suited to low-latency, server-less, & horizontally scalable systems (like Dremel/BigQuery, or Hail [1], which we build and is inspired by Dremel, among other systems). The load profile is unpredictable because after a scientist runs an analysis they need an unpredictable amount of time to think about their next step.

As for productionized workflows, if we redesign the tools used within these workflows to directly read and write data to cloud storage as well as to tolerate VM-preemption, then we can exploit the ~1/5 cost of preemptible/spot instances.

One last point: for the subset of scientific computing I highlighted above, speed is key. I want the scientist to stay in a flow state, receiving feedback from their experiments as fast as possible, ideally within 300 ms. The only way to achieve that on huge datasets is through rapid and substantial scale-out followed by equally rapid and substantial scale-in (to control cost).

[1] https://hail.is

Broad Institute of MIT and Harvard | Cambridge, MA | Associate Software Engineer | Onsite

We are seeking an associate software engineer interested in contributing to an open-source data visualization library for analyzing the biological impact human genetic variation. You will contribute to projects like gnomAD (https://gnomad.broadinstitute.org), the world's largest catalogue of human genetic variation used by hundreds of thousands of researchers and help us scale towards millions of genomes in the coming years. We are also developing next-generation tools for enabling genetic analyses of large biobanks across richly phenotyped individuals (https://genebass.org). In this role you will gain experience developing data-intensive web applications with Typescript, React, Python, Terraform, Google Cloud Platform, and will make use of the scalable data analysis library Hail (https://hail.is). Key to our success is growing a strong team with a diverse membership who foster a culture of continual learning, and who support the growth and success of one another. Towards this end, we are committed to seeking applications from women and from underrepresented groups. We know that many excellent candidates choose not to apply despite their capabilities; please allow us to enthusiastically counter this tendency.

Please provide a CV and links previous work or projects, ideally with contributions visible on Github.

email: [email protected]

Maybe try Zotero[1]. There are many addons which can do what you need.

[1]https://www.zotero.org/

And next time, you use a real literature management program like zotero (some university libraries offer classes, there is a r/zotero, etc) or jabref to create a proper bibtex file with the references. It is not that difficult, and keeps you sane (esp. if a paper has to be formatted for a different publisher). See e.g. learnlatex.

Zotero | Remote | Full-Time or Part-Time | https://www.zotero.org

Zotero is an open-source project that develops software to help people collect, organize, annotate, cite, and share their research. Our software is recommended by most universities and used by millions of students, scholars, scientists, and researchers worldwide.

We're looking for a JavaScript developer to work on Zotero "translators" — the pieces of code that let people click a button in their browser toolbar on any webpage and save high-quality metadata and files to their Zotero libraries. If you like web scraping, APIs, data formats, and exploring sites in the browser devtools, this would be up your alley. As a core Zotero developer, you'll also have the ability to work across Zotero's vast ecosystem and help shape the future of the project.

This is an open-ended contract role that can scale up and down in hours based on availability and workload.

https://www.zotero.org/jobs

Zotero is your answer, it even auto generates your citations.

https://www.zotero.org/

Apparently there are plugins for Logseq and Obsidian as well.

Zotero - Price: Free Free and open-source reference manager that helps you collect, organize, and cite your research sources.

I use the free and open source Zotero which I think you'd find very calibre-like and manage notes and concept linking with org-roam in emacs.

If you can't hold the urge to know, you can check on the Zotero web library if all of your things are still there

Resources: ZOTERO. Zotero is a free (you can pay to get more storage), open-source citation manager with optional browser plugins. IT WILL FORMAT CITATIONS FOR YOU. (sometimes you have to edit them, but most of the time it can pull metadata and format things correctly on its own). You can sort your references into folders or with tags, read and annotate PDF copies on your computer or in a mobile app, and make notes - which I used to keep track of specific quotations I wanted to use.

You can also use online resources like The Encyclopedia of Archaeological Sciences, that I think is mostly free or the Handbook of Archaeological Sciences which I think is also mostly free. If you can't get a hold of those things you can also email the authors/editors and they might send you a free copy or look them up on Academia.edu and see if they have a free version. Also, if you don't already, use Google Scholar, it's the best resource for finding free articles and topics to read. It's also never too early to start using something like Zotaro, Mendeley, or Endnote to keep track of your readings and help you with citations/references in papers. You can literally download the citation, import it into one of those systems and it automatically formats your referencing.