Ask HN: Who is hiring? (June 2015)

Anyone considering any of these jobs is free to check Glassdoor, and probably will. Singling out one poster for a drive-by snipe is off-topic and unfair.

If you feel a burning need to protect your fellow users from employment at the New York Times, please avail yourself of the standard way to share information on HN and make a separate, careful, factual post. Bringing it up in the Who Is Hiring thread, where there's no room to evaluate whether the complaint is valid or just a smear, and the OP loses whether they engage with you or not, is not earnest discussion, it's attempted arson.

I'm going to detach this subthread now and mark it off-topic.

We're actively trying to change the culture and management is onboard. What this means is that not working long hours isn't a negative in performance reviews and advancement. However, people often feel compelled/pressured to work the long hours because a lot of their peers do it.

Well, we're an engineering company, so it'd have to be math with a practical slant. Do you have a background in machine learning, statistical modeling, and data analysis (all done in matlab or python)?

I don't have application demographics in front of me, but I'd wager that you're correct, most people without a degree don't apply to that position.

However, that doesn't actually speak to what I was saying. My claim refers to the population of non-formally educated developers as a whole.

You might fall into the small portion of the population where you do have the requisite knowledge and skill. However, I think you're missing key element to recruiting, that took me a long time myself to understand.

Recruiting is a numbers game. Finding good people is hard, but the best way to find them is A) have competitive compensation, and B) volume. If the signal to noise ratio of college educated applicants is 50:1 and the ratio for non-college educated applicants is 100:1, then as long as there isn't a shortage of college applicants, it improves the recruitment process to require a college degree.

Senior Python Data Scientist or Computational Biologist

Recursion Pharmaceuticals - Salt Lake City, Utah - onsite, full-time

Question to consider: What's the most impactful data science problem you could be working on?

We’re a small and fast-growing biotech startup with an amazing set of advisors including the Broad’s Anne Carpenter, and we're using high throughput genetic perturbation experiments in human cells, automated image segmentation and quantitation of hundreds of features for every cell, and machine learning and statistics to find new treatments for rare genetic diseases faster than anyone has previously thought possible. If that sounds like a lot of biology, don’t worry—you’ll be up to speed in a week or two. Just know this: there are more than 5,000 rare genetic diseases, in total affecting more than 10 million people in the US alone, and only a handful are treatable. We aim to find treatments for 100 of them in the next 10 years. See who we are at http://www.recursionpharma.com/team

We’re looking for exceptional computational scientists to help lead our analysis efforts, with the following criteria:

- Native-level fluency in probability, statistics and modeling; several years of experience in statistics, machine learning, and software development solving problems using lots of data, ideally using python’s scientific stack; thorough understanding of fundamentals of machine learning such as cross-validation and learning curves, plus an ability to explore new types of data independently and get an effective guess as to what sorts of models and assumptions make sense as a starting point.

- A track record of outstanding projects, publications, or presentations that demonstrate successful application of the above talents.

- Motivation to tackle some of the most challenging data problems around, to work with other sharp and highly-motivated individuals with diverse backgrounds, and to make lots of patients’ lives dramatically better.

- Biology background not required; intellectual curiosity and motivation to learn is critical.

- Key tools and skills (not all required): python, machine learning, sklearn, ipython, data science, pandas, interactive analysis, linux fluency, bioinformatics (definitely not required)

More details and how to reach us: http://www.recursionpharma.com/lead-python-data-scientist.ht...

More openings including software engineering roles: http://www.recursionpharma.com/careers.html

Recursion Pharmaceuticals is based in Research Park at the edge of the mountains overlooking Salt Lake City, Utah. Gorgeous hiking/running/biking is literally out our back door, and it's half an hour to 5 top ski resorts.