IRP Life

What's It Like Arriving on NIH's Bethesda Campus?

We recently sat down with a handful of NIH IRP researchers and support staff to talk about what it’s like to work in the IRP. These meetings between mostly strangers who work at the same massive research campus near Washington, D.C., highlight a wonderful quality of the IRP: Everywhere you go, there are numerous other people who share a love of science and a drive to improve human health, yet also come from markedly different backgrounds and offer wide-ranging perspectives. IRP researchers who reach out to learn from their diverse colleagues and share their thoughts and experiences often find new collaborators and other rewards.

Life of a Postbac: My Experience Joining the NIH Family

Lindsey Jay working in her lab

It was picture day, and I sat stiffly in front of a wrinkly blue curtain, nervously patting my hair into place. “You can smile, but just make sure no teeth are showing,” the person taking my picture told me. I laughed at that, and she also laughed, adding, “Everyone gets a good chuckle out of that one,” as she snapped my photo. A few days later, I picked up my photo, printed (not so) nicely with a vertical stripe running down my face. I didn’t even notice. I thought, this is real, as I proudly held up my official NIH ID badge.

Let’s Collaborate! 10 Elements for Building Successful Teams

What attracts talented scientists to the IRP? And, once they are here, why do they stay? One major factor is the proximity to brilliant colleagues and collaborative relationships across the spectrum of biomedical research.

Seeking to understand the key elements that contribute to successful team science, we studied a number of NIH research teams to discover the secrets of their success. The results are examined in the second edition of Collaboration and Team Science: A Field Guide, which contains new insights from individuals, teams, and organizations around the world.

What are the 10 Elements of Successful Teams? Read on to find out.

A team of researchers in the lab at the NIH IRP

The Nerve to Study CNS Regeneration at the IRP

I knew very little about neuroscience before beginning my graduate studies, but the topic of neurodegeneration looked very interesting. Having applied to several labs, I landed a Ph.D. student position in a neuroscience lab at the Saha Institute of Nuclear Physics, a government research institute in India, that would propel me on my way to the NIH IRP. In the first year of my Ph.D. program, I learned several things about the central nervous system (CNS), but what intrigued me the most was its lack of ability to regenerate after injury.

retinal ganglion cell axons after optic nerve crush injury

Top-of-the-Line Supercomputer Turbocharges NIH Research

Access to robust computing resources provides a critical foundation for advancing the wide variety of biomedical research taking place within the NIH’s Intramural Research Program (IRP). Whether performing molecular modeling simulations, generating whole-genome sequencing data, deducing the structures of biomolecules, or advancing drug discovery efforts, our ability to analyze large-scale biological and biomedical data strongly depends on our ability to employ computationally intensive approaches that produce interpretable results and advance translational efforts aimed at improving human health.

NIH's supercomputer, Biowulf

NIH Works Towards a More Diverse Community

Dr. Hannah Valantine

Like many research institutions across the nation, the NIH has faced difficulties with establishing a strong and lasting community of diverse investigators. We have made remarkable gains in recent years, however, in attracting and retaining a diverse workforce that's more reflective of the U.S. population.

One of many movers and shakers in this realm is Hannah Valantine, a cardiologist recruited from Stanford University who, in addition to maintaining a lab in NHLBI, is the NIH's first Chief Officer for Scientific Workforce Diversity. And one of her many ideas that the NIH Scientific Directors hope to adopt is the creation of a cohort program with both mentors and mentees committed to issues of scientific diversity and inclusion. Our goal is to guide this cohort of tenure-track investigators through the tenure process to be sure they have access to the mentoring, professional development, and networking opportunities to establish their careers, strengthen their science, and, in turn, recruit and mentor future generations of scientists.

Lasker Scholar Program Achieves “Steady State”

NIH Lasker Scholars Nehal Mehta and Jessica Gill

The NIH Lasker Clinical Research Scholar Program, an initiative to support early-stage clinical researchers, has reached a milestone. First announced in December 2010, the program provides scholars with up to ten years of support: five to seven years as NIH tenure-track investigators, followed by three years additional funding at an extramural research institution, pending review, if they choose to leave the NIH. Our goal was to recruit a few scholars each year and have a “steady state” of 15 to 20 scholars on campus. We indeed are now up to 15 scholars, which meets this goal.

NIH Women Lead Nation in Patents

female scientist examining a blood sample

A fascinating statistic crossed my desk this month: Among U.S.-based institutions, the NIH has the highest representation of women scientists and engineers on filed international patent applications. I can believe it, and there’s a report documenting it from the World Intellectual Property Office (WIPO), a UN-affiliated organization.

Summertime Brains: Alex Fuksenko

Alex Fuksenko, a senior at the University of Maryland in College Park, spent his summer in the lab of NIH IRP Investigator Kevin Briggman, Ph.D.

Fuksenko helped to create a website called Labrainth that “gamifies” the identification and tracing of neurons in 2D images produced by electron microscopes. By visiting the website and completing those activities, members of the public can earn points and move up leaderboards while producing data that machine learning algorithms can use to learn how to trace neurons in these images themselves, a necessary step towards producing an accurate 3D model of the human brain.