Anusha M. Vable Profile picture
Feb 1 20 tweets 8 min read
Hi #EpiTwitter, #AcademicTwitter, #StatsTwitter, #JobSeakers:

I am currently searching for a postdoc and 2 data analysts (postings below). I want to make the case for why these opportunities may be a great fit for you.
But first, the job links:

Postdoc: bit.ly/3AUXvGs

Data analyst: bit.ly/3rdM89k
Argument 1: The analyses we’re working on are fascinating, novel, and all aim to reduce health inequities.

(disclaimer: I may not be an unbiased source on whether the work I do is interesting)

1.1
We are doing exciting substantive and methodological analyses, specifically:

#UnconditionalQuantileRegression to test the #PopulationStrategy proposed by Rose in bit.ly/3ALmlsf under this grant:

bit.ly/3gezcd2

and

1.2
Substantive and methodological analyses using #SequenceAnalysis to understand exposures that cumulative over the lifecourse, under this grant:

bit.ly/347HJMn

1.3
I’ve been influenced by @zinzinator saying the questions we ask should drive the methods we use, rather than the methods driving the question.

I agree.

We are working on it.

Come join us.

1.4
Argument 2: The environment @UCSF really is exceptional. I considered other places, but realized I can do my best, most innovative work here.

2.1
The leadership members that I have directly work with have integrity and value the kind of work we do; they are the people you want in leadership positions.

2.2
My collaborators / #collabofriends (e.g. @MariaGlymour, @DrRitaHamad, @drSusieMartinez, @jackie_m_torres, Kelsey Holt + others) and the research teams they direct are phenomenal, and we meet regularly for happy hour - year-round, outdoor happy hour is possible in California!

2.3
You won’t just be working with me; you will be part of a strong and vibrant research community focused on health equity.

2.4
Argument 3: I will pay you well. I recognize that UCSF is in one the most expensive places to live in the country, and that the projects I am asking you to do are complicated and demanding; you can’t do this work well if you are worrying about making ends meet.

3.1
That being said, I will pay you well, not because I want you to do this work, but because I value you and I want you to be happy.

3.2
Argument 4: I take mentorship seriously. I want you to feel supported and valued, and I’ve worked really hard to create a collegial and supportive research team. A few examples:

4.1
We always do code review (bit.ly/3HkeeVN); this is to protect all of us, but especially to protect analysts who are often more junior and are therefore especially vulnerable.

4.2
A major motivation for advocating for the systematic implementation of code review in epi is to protect the person doing the analyses (this person was me not that long ago) by acknowledging that coding mistakes are inevitable. So, we build in protections.

4.3
Our existing team is fantastic, and we all support each other. For example, when my daughter was sick right before the SER abstract deadline, everyone read each other’s abstracts and gave each other feedback, helping me, and helping each other.

4.4
Another example: we have two different writing groups: one to help you write text, and another to help refine your text. I know that it’s easier to tinker and tinker and tinker with your analysis than to write the paper (again, this was me recently), so we build in supports.

4.5
Another example: Phenomenal postdoc @akhadka49, holds a weekly office hour where he’ll help you operationalize your censoring weights, or help think through any other pickle you are encountering. The are other examples, but I think you get the idea.

4.6
In conclusion, please consider applying. Here are the job links again:

Postdoc: bit.ly/3AUXvGs
Data analyst: bit.ly/3rdM89k

If you join us, you will be paid.
You will be protected.
You will be valued.
oops, I meant to link to this earlier thread, but I forgot, so doing it at the end:

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More from @AnushaVable

Jan 13, 2020
I’ll try to live tweet ⁦@zinzinator⁩’s talk!
@zinzinator In epi, we should try to conceptualize more meaningful counterfactuals when thinking about race.
@zinzinator it's more than just social determinants of health -- we need to think about role of race, racism, and racialization in thinking through health and health disparities outcomes
Read 22 tweets

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