​I served in the Vanderbilt Postdoctoral Association (VPA) as Treasurer in 2016-17 and Junior Co-Chair (Vice President) in 2017-18. When I decided to volunteer in my first leadership role, I didn’t really consider myself leadership material. I am pretty quiet and reserved but realized this group was doing important work including building a community of support for postdocs and linking them to resources on campus. 

Working with the VPA, I met a lot of awesome people doing amazing things, including some postdocs whom I would never had interacted with if I stayed in the lab or only attended departmental events. The VPA senior co-president when I started attending association meetings is now a data scientist and the senior co-president I served with in 2016-17 received a prestigious AAAS Science & Technology Policy Fellowship. The 2018-19 VPA senior co-president, who I interacted with frequently in Fall 2018 as I assisted with our Association website design, now works at Regeneron Pharmaceuticals. Other leaders who worked with me in the VPA over the years have taken positions in medical writing at AbbVie (a pharmaceutical company), an assistant professor position at the University of Florida, and directing NIH BEST consortium activities. 

There are so many organizations to get involved with
Like communicating science? Why not volunteer at the NC Museum of National Sciences in downtown Raleigh? Interested in a career in medical writing? The American Association of Medical Writers has a local chapter based here in the Research Triangle. Other local organizations to get involved with (that I am aware of) include the International Society for Pharmaceutical Engineering with both an NC State and Carolina-South Atlantic Chapter, North Carolina Regulatory Affairs Forum, entrepreneurship programs, and a host of exchange groups in a variety of life science areas. 
​
Volunteer in your community to hone your skills, meet others, and give back​

You may discover you can build a fulfilling career out of the skills and experiences you exercise outside the lab, combining them with your other strengths to do something you are both good at and enjoy. ​
By venturing outside your school/work, you will also meet a more diverse group of professionals and start to learn about the many career opportunities out there in the world. 

Take on work that is outside your job duties to build new skills & establish more connections
Just a few months into my role in Postdoc Affairs at NC State University, I sought out opportunities to serve on various committees in professional organizations relevant to my career: the National Postdoctoral Association (NPA) and Graduate Career Consortium. Working on committees tasked with resource development, education research/outcomes assessment, and bench-marking of career development professionals has allowed me to greatly expand my network and learn more about exciting developments in these areas. I am also part of the early conversations around how we will communicate new resources, work, and findings to our membership. This helps me stay informed on new initiatives and advances in the field...something I find immensely valuable.

As we start a new decade, now is a good time to stop and reflect on how to make 2020 a productive and fulfilling year. I find listening to inspiring podcasts and reading interesting books helps me think about how to live my life more impactfully.

So, I am sharing some podcasts I currently subscribe to and books I am excited to read this year:

Podcasts
The Science of Success
How to be Awesome at Your Job
Good Life Project
WorkLife with Adam Grant
The Happiness Lab

Books
"A reader lives a thousand lives before he dies." - George R.R. Martin
Switch: How to Change Things When Change is Hard
The Happiness Equation
​Range: While Generalists Triumph in a Specialized World
Ditch the Act: Reveal the Surprising Power of the Real You For Greater Success
Nine Lies About Work: A Freethinking Leader's Guide to the Real World
All You Have to Do is Ask
Perfectly Confident: How to Calibrate Your Decisions Wisely
Life is in the Transitions: Mastering Change in the Nonlinear Age 

Preorder
Social Chemistry: Decoding the Patterns of Human Connection
Joy at Work: Organizing Your Professional Life

“Research is showing pretty convincingly now that happiness is really within us, it’s not outside of us. It’s in what we do. It’s sort of how we act, how we think every day of our lives.”
- Dr. Sonja Lyubomirsky, Distinguished Professor, University of California, Riverside & author of The How of Happiness
Read some of her interesting research on positive affect (happiness) and success here.

Career & Professional Development, Opinion

In a few short weeks we will be entering a new decade.

What will the 2020s hold? Technological advances continue to take shape at a blistering pace and will have effects on nearly all aspects of our lives. While most of these tech advances will be a clear benefit (improved healthcare, faster connectivity with 5G wireless, and greater access to online learning), others offer a potentially existential challenge to something most of us do for more than a third of our lives: work.  

Work in the Age of AI
The nature of work is changing rapidly. Automation and artificial intelligence (AI) are allowing machines and computer programs to take on an extraordinary variety of tasks.

We think of this as a blue-collar issue with robots now doing most of the assembly at automobile plants across the world and autonomous vehicles coming to take truckers jobs soon. The truth is, though, very few jobs are safe from automation as many jobs are quite routine and skills-based.

Any job requiring technical skill alone may eventually be subsumed by advances in AI. This leads to the important question of how does one prepare for this sea change? How can you make yourself un-replaceable by a machine?

What Skills Will Be Valued in Future Work?
While it seems logical to assume that increases in AI would necessitate increased training in technical skills like computer programming, coding, engineering, or other scientific fields, the fact of the matter is that those technical skills themselves may be unsafe from the evolving capability of our machines.

Specifically, a report by the Brookings Institute where job descriptions were compared against AI-related-patents (see paper by Michael Webb at Stanford University for empirical details) found that white collar, data-intensive jobs in business, technology, engineering, and science are at greatest risk of being impacted by AI. The report quantified impact as having job duties that could be subsumed by coming AI advances. This doesn't mean AI would replace the job completely...in fact, AI may just supplement work in fields such as finance and scientific research. What is clear, though, is that only being good at a skill or technique that eventually can be automated is NOT a winning strategy. 

Transferable, Human-Centered Skills are Irreplaceable (for now)
What will be in demand for the foreseeable future are transferable skills. These types of skills aren't technical but rather refer to intra- and inter-personal skills that we use to get our work done efficiently, by ourselves or with others.
​
LinkedIn found these 5 transferable skills to be most in demand in 2019 (based on job postings on the platform):
5. Time Management
4. Adaptability
3. Collaboration
2. Persuasion
1. Creativity

In addition, as more and more employees become tech-savvy, backgrounds that give employees perspective — historical, global, or otherwise — will become increasingly valuable. We will need to increasingly think about how our machines and interfaces are designed to interact with humans.

​Currently, machines cannot think like human beings. The AI we have today is so-called "narrow AI,” performing objective functions using data-trained models. The AI from science fiction movies where machines have human-like intelligence, so-called "artificial general intelligence," is far from a reality and may never be achieved. So, we will need people to serve as the interpretational bridge between AI and society and back again...to insert humanity into our machines and their decisions.  

Technical Training is NOT Enough:
The Role of Critical Thinking, Problem Solving, Data Synthesis, & Presentation Skills 
There has been an increased emphasis and interest in STEM (Science, Technology, Engineering, & Mathematics) education to prepare the next generation for a new age of work. Colleges, particularly technical schools and community colleges, have invested heavily in career and technical education that seeks to broaden technical skills currently in demand (coding, software engineering, etc...). Ironically, though, being trained in the liberal arts and humanities may be more useful in the age of AI. In addition, there is data suggesting a surplus of STEM majors in some fields (see also this piece from The Atlantic). 

It won't be so much our technical skills that differentiate us in the 21st Century economy. Rather, being able to think critically, synthesize information, present arguments persuasively, and work effectively with others will be increasingly valued. 

Anyone working in the sciences knows that our knowledge and tools change fast. So, it may not be surprising to consider the skills we value now in coding, data manipulation, and analysis may not be what is needed 20 or even 10 years from now. 

"It is not only what you know but how you learn that will set you apart."
- Thomas Friedman, author of The World is Flat: A Brief History of the Twenty-first Century

Graduate Students & Postdocs Have the Skills Needed for the 21st Century Economy 
Having the skills to quickly dissect a problem, synthesize and interpret data, and clearly present insights and recommendations from your work are incredibly valuable. Luckily, if you have been pursuing a graduate degree or postdoctoral work, you have experience in all these areas. Each day you are working to troubleshoot problems, synthesize your data with what is already known, and form coherent narratives around your findings. You are uniquely poised to make sense of the flood of data that is and will be produced and stored from the countless scientific publications, device interactions, and web searches that occur each day. 

How to Hone & Leverage Your Transferable Skills Into Meaningful Work 
A changing world demands individuals who can change with it. Flexibility and the ability the learn and adapt to new technology will be crucial. Scientists possess these and other transferable skills but need to more effectively hone and communicate them to potential employers.
​In addition, current graduate students and postdocs must avoid becoming so focused in one domain or technique that they don't develop the transferable skills needed to succeed in the 21st Century economy. 

How can current trainees practice and perfect their transferable skills? 
Develop Teamwork & Leadership Skills
Taking leadership roles or volunteering in organizations that you are passionate about (including graduate student and postdoc associations) allows you to give back to your community while also honing your teamwork and leadership skills (for example, see). You can look to get involved with local or national organizations or local chapters of national organizations, potentially in research or career areas that interest you. 
​ 
Volunteering within an organization while continuing in your current role will also force you to improve your time and project management skills as you seek to fulfill your many obligations. In addition, working with others in these organizations, especially those from different backgrounds than yours, will teach you the importance of effective communication skills (listening, synthesizing, presenting), leadership, and consensus building to achieving success. 

Check out Volunteer Match for community volunteering opportunities. ​

Communication Skills
You should also seek out opportunities to practice and demonstrate your communication skills. Join Toastmaters to practice your public presentation skills or volunteer to deliver a talk to a general audience (local science cafes/clubs are a great venue). You can also start posting articles on the web to demonstrate your written communication skills (LinkedIn has a great self-publication feature). Showing you can speak to a general audience and not just academics is crucial. Your future coworkers and customers will have a variety of backgrounds and speaking to them in an accessible way will increase the rapport you can build with them.  ​

A more automated and efficient world will provide us more time to do what we enjoy and give back to others: to do meaningful work. By freeing us of routine, tedious tasks, AI also has the ability to unlock the vast untapped potential in so many of us...to allow us to pursue work and activities that are not motivated so much by their utility and profitability (as the machines will do much of that) as by their ability to bring happiness to our and others lives.
That is certainly a future worth aspiring towards.   

Further Reading
AI & Work
Where Machines Could Replace Humans - and where they can't (yet)

What jobs are affected by AI? Better-paid, better-educated workers face the most exposure

Is Technology About to Decimate White-Collar Work?

When Will AI Exceed Human Performance? Evidence from AI Experts

​In the Age of AI (PBS Frontline documentary)

Human Flourishing in the AI Age - We Need a New Story

Education & the 21st Century Labor Market 
The Myth of the Science and Engineering Shortage
​
STEM Crisis of STEM Surplus? Yes & Yes

A Humanities Degree is Worth Much More Than You Realize

The Growing Importance of Social Skills in the Labor Market

You Can Do Anything: The Surprising Power of a "Useless" Liberal Arts Education (book)

The Future of Work
​Meaningful Work: Viktor Frankl's Legacy for the 21st Century (book)

Life's Great Question: Discover How You Contribute to the World (book)

The Globotics Upheaval: Globalization, Robotics, & the Future of Work (book)

MIT Initiative on the Digital Economy 

We are entering the month of November and that means Thanksgiving is only a few weeks away.

All too often, however, we aren't thankful enough for what we have. Instead, we can easily become consumed by what we don't have as we compare our life situations to others.

​In the end, we need to work to define what life circumstances will truly make us happy, pursue those things, and ignore what others say should make us happy.  

Envy & the perils of human competition & comparison
The truth is, it is very difficult for human beings to not envy one another...it is as old as the Biblical story of Cain & Abel, among others. 

This brings up the philosophical debate: are humans by nature competitive or cooperative? Obviously, we are capable of both types of behavior. Certain societal and institutional settings, though, can amplify one or the other.

This fact has led many young people to be focused on living the "perfect life" and when they inevitably don't reach that lofty goal, their mental health can suffer.
​
Finding happiness
We all want to have happy, fulfilling lives but struggle to know what that looks like for us. 
Everyone has different values and needs when it comes to what they classify as a "good" life. 

So, allowing others to define what you should find meaningful in life is very problematic. It is incredibly common, though. We all have parents we want to please or life plans we think we should follow but that is a recipe to live a life that lacks personal fulfillment. The idea that smart, dedicated people need to aspire toward some high-paying, prestigious job is common among parents who want their children to "succeed". But that job as a doctor, lawyer, or consultant might not be what the child really wants. 

There is so much more to life and happiness than money or a prestigious position. But what are those other things? The answer to that is incredibly personal. ​
​
The importance of self reflection & awareness 
One huge obstacle in allowing individuals to find meaning in their lives is that we often fail to take the time to think deeply about what we want out of our life. While this seems like a basic place to start, our fast-paced, modern world doesn't leave much time for self reflection unless one makes a concerted effort to do it. In fact, psychologist Tasha Eurich's research suggests ~10-15% of people are self-aware.

Self-reflect & begin designing the life you want
Exercises to increase your self-awareness. 
Designing Your Career online course from Stanford University (free).
More life design resources from Stanford. 

A matter of perspective
The perspective we take to our "success" is the most critical component to our happiness. We can count our blessings or ruminate on our deficiencies. The former, positive thinking is infinitely better for your mental and physical health. 

Take me, for example, at age 33 I could focus on the fact that I don't make a six figure salary, that I have yet to find a significant other, and that I don't have kids, though I want to someday.
Or, I could focus on the fact that I am in very good health, have loving parents and two sisters who I get to see on a regular basis, have the flexibility in my work to take time for family, friends, and my own well being, and make enough to live pretty comfortably. On top of all that, I am doing work that I think is having a positive impact on the world, helping support others in their career & professional development.

​All in all, I am doing alright.   

In closing, try to take stock of what you value in your life. Is it money? Prestige? A flexible work/life balance? Autonomy in your work? Plenty of free time to spend with family and friends?
​
Once you know your values, pursue them and don't let the opinions of others derail you on your path to your own personal fulfillment. 

When you set your own metric of success and work hard to obtain it, you can find your own happiness. And that is something to truly be thankful for.  

"Everything can be taken from a man but one thing: the last of the human freedoms—to choose one’s attitude in any given set of circumstances." - Viktor Frankl

Data science is a buzzy term not only in the technology sector but in the wider culture as well. It has seeped into the common vernacular and promises increased insights and knowledge extracted from the vast quantity of data being generated every day.

The use of data science in healthcare is growing and artificial intelligence (AI) represents a huge business opportunity in the space. However, the potentially identifiable nature of health records and ethical concerns about how the data should be utilized and by whom makes working in this space a challenge.

The recent publication of work suggesting AI may be as good as clinicians in diagnosing disease further highlights the increased importance this technology will have in 21st Century healthcare.

I spoke with data scientists from 3 different healthcare companies on how their groups are using data to improve the quality and efficiency of healthcare.

In essence, axialHealthcare's goal is to understand which treatments are both effective and safe in the treatment of pain. Axial is also focused on determining if treatment approaches beyond potentially addictive opioids are viable for particular patients.

A big question at axialHealthcare is, “what does safe and effective pain management look like?” The answer seeks to ensure that 1) opioids are prescribed judiciously given their propensity for causing dependence and addiction and 2) that other pain reduction therapies are considered when warranted.

Clark emphasized the unique challenges of working with health information, including the critical need for data security and privacy as well as navigating the complex United States health system. The focus for most of U.S. healthcare is on what is reimbursable by either health insurers or Medicare/Medicaid (federal & state payers). Thus, every company trying to improve cost efficiency in healthcare must think about how their recommendations fit into the payers’ current reimbursement framework.

axialHealthcare has organized its Research and Development (R&D) group into data science and statistics/communication branches that communicate closely but have different functions. These teams work with the product team whose job is to think about the value they can extract from data insights and models to benefit customers. The R&D groups also provide support to the company’s clinical outreach team comprised of licensed clinical pharmacists and engagement specialists who work to change provider behavior and improve patient outcomes, which ultimately reduces costs on the healthcare system and protects insurers from spending on ineffective treatments.

Most of the company’s data comes from insurance claims, but some is also gleaned from patient behavioral and electronic health record data. Although the team is always focused on new data-derived models of improved care and cost savings, it is critical for the data science team to align their projects with what the market needs.

Ultimately, the company hopes to collect its own data for two reasons: 1) access to data can be a challenge and 2) variables that may be of interest to the data science team aren’t always available in the data collected by a third party. Nevertheless, axialHealthcare’s current approach has proven effective for patients and payers.

Artificial Intelligence (AI) in Healthcare

At the 2018 Health:Further Festival held in Nashville, TN, I talked with two companies working to use artificial intelligence (AI) to improve healthcare.

Change Healthcare AI group, San Francisco, CA

Change Healthcare is the largest independent healthcare information technology company in the U.S., handling approximately 60% of medical claims. Alex Ermolaev is part of a growing AI team there. The goal of Change Healthcare’s AI group is to improve efficiency and add value on top of existing data management and analytics solutions.

See Alex's video on AI in Healthcare below.

Change Healthcare uses large, aggregated and de-identified claims, medical history, and treatment plan data from their databases to provide insights on how to increase the effectiveness of healthcare, particularly how to provide treatment that is more efficacious and economical. While Change has mostly claims data, Ermolaev said most of it is very extensive, often up to 400 pages per claim, so that meaning and insights can be extracted from the various doctor notes and other details from healthcare providers. Text from claims can be read and analyzed using natural language processing approaches to identify relevant information in the record.

Ermolaev, formerly at Nvidia, mentioned that most AI models can achieve very high accuracy (>95%) as long as the following 3 factors are available: 1) large amounts of data, 2) bigger/more complex models, 3) more computing power.

“The main limit to using AI in healthcare is the lack of large enough data sets,” according to Ermolaev. This shortage of data is not unexpected given the sensitivity of personal health information and the vast privacy protections in place. Thus, companies with access to the data have a great advantage when competing in the AI healthcare space.

I was surprised to hear Ermolaev mention that genetic information (frequently promoted in academic circles as the key to precision medicine) is often not required to develop personalized insights. This highlights the fact that currently available medical history, behavioral, and symptom data is often adequate in creating dramatically more effective personalized treatment plans.

UPDATE:
Change Healthcare announced its Claims Life Cycle AI in February 2019, which seeks to reduce the number of denials for medical insurance claims processed by healthcare providers (see infographic).

Droice Labs, Brooklyn, NY

While at Health:Further, I also met with representatives from Droice Labs on Entrepreneur Alley at the 2018 Health:Further Festival, a showcase area where over 70 startup companies could meet with conference attendees.

Droice Labs brings the power of artificial intelligence to hospitals. The company’s technology provides personalized predictions of how a given treatment (e.g., a drug or a medical device) will perform for a given patient. This software solution is based on a combination of the latest medical research and learning algorithms, which together analyze how a treatment has performed on similar patients in the past by aggregating data from millions of patient records and treatment plans. This allows doctors to consider all of their options in real-time and choose the right treatment.

The relatively small company has a very collaborative culture with employees from a variety of backgrounds—tech, healthcare (including clinicians), scientific research—that bring different but complementary perspectives to their work. “The company is structured to be very horizontal, an organizational setup that fosters the sharing of ideas among all individuals in the team,” according to Droice Labs Co-founder & CEO Mayur Saxena, Ph.D.

Speaking to M. Saxena and Co-founder & Chief Product Officer Harshit Saxena (no relation), it is clear Droice Labs has a growth-focused, startup-like culture with a hunger from employees to continue to innovate and do more. The company has a mission that appeals to young workers that want to work for a values-driven company. “One measure of success at Droice Labs is how many people we were able to impact by our work today,” says M. Saxena. “Do the insights we develop increase the well-being of an extra 1,000 people? How can we improve things to increase that impact?”

Both of the founders agree with a point mentioned on the main kickoff stage at the Health:Further Festival: healthcare touches everyone. When asked what got them into using their analytic skills in the healthcare space instead of a traditional technology company, M. Saxena emphasized the common human experience of healthcare: “my thought was, if I am going to consume it, I might as well work to improve it.” He went on to say that healthcare is full of great people that work tirelessly to improve human life and that the industry needs technology to enable healthcare workers to do their jobs more easily and effectively.

At companies like Droice Labs, Change Healthcare, and axialHealthcare, the approaches may differ but the goal is the same: to improve healthcare in the 21st Century through data and insights.

Read More
Artificial intelligence in healthcare: Past, present, and future
Artificial intelligence in healthcare
Applied data science in patient-centric healthcare


Additional Resources

Want to get into data science?
The Insight Data Science Fellowship program offers a fabulous training opportunity with demonstrated success in job placement afterwards.

NC State's Institute for Advanced Analytics offers a well-respected Master of Science in Analytics degree with excellent career outcomes for graduates.

What do you want to be when you grow up?

This is a question we rarely escape in our youth and, if we are being honest with ourselves, something most adults grapple with from time to time.

The 21st Century world of work is evolving quickly and the concept of a "linear" career is quickly coming to an end.

What this means is that deciding what one wants to do with one's life has become an increasingly complex choice. There is rarely a single, straightforward path to most careers and the options for employment continue to grow. Freelance work abounds and employment sectors such as data science and software engineering didn't even exist as recently as a few decades ago.

Where is someone supposed to start on this journey?

As I serve graduate students and postdocs in my role at NC State University, I will highlight resources and tools of particular interest to this group.

Career Exploration Resources for Ph.D.s

One great resource is ImaginePhD, developed by the Graduate Career Consortium.

ImaginePhD and other online resources are used to create what we in the career development field call "individual development plans" - IDPs. Specifically, these resources focus around the concept of aligning your skills, interests, and values with potential careers.

Taking online skills and interests assessments through ImaginePhD, myIDP, or myPath, among others, is the first step in the career exploration process.

Your interests and skills then map on to potential job families which you need to further explore to determine which careers in those families may fit your values and other parameters important to you - work/life balance, salary, autonomy, work travel requirements, etc...

For example, from ImaginePhD my top interests include helping others, connecting ideas from different fields, and meeting and connecting people. My top skills include working with limited supervision, working as part of a team, and contributing to an institution.

These map on to the job families of Higher Education Administration (which I am in now), Communications, Public Relations, & Marketing, and Training.

ImaginePhD also has a nice career exploration worksheet you can print out and hang somewhere prominent to remind you of potential careers that align with your skills, interests, and values. It also, importantly, emphasizes the next steps required in your career exploration process.

Digging Deeper Into Potential Careers

After you have identified some job families you are interested in learning more about, ImaginePhD allows you to explore potential career fields further through a variety of resources including lists of common job titles in the field, sample job descriptions, job simulation information from InterSECT Job Simulations, profiles/interviews from people working in the field, and more.

As you get to know these individuals working in a career field of interest to you they can be powerful advocates for you when/if you begin to look into employment at their organization. This is how you build a network - meet like-minded people and get to know them and through your interaction with them show your value.

There are also a ton of tips sheets available through ImaginePhD. Some examples:
Informational Interviewing Tips
Networking Tips
LinkedIn Tips
See them all on the General Resources section of the ImaginePhD site

There are also sections for each job family from ImaginePhD focused on skill building - how to get the experiences and expertise needed to be competitive for jobs in that family. These resources include links to webinars and online courses, publications, and more.

When it comes time to apply for jobs, ImaginePhD has example application documents for each job family, links to job boards, and articles with valuable tips on making a great impression with your application materials.

Ikigai - Reason for Being

To summarize, the concept of career exploration is thinking about how your skills and interests intersect with something the world needs and will pay you to do. This process helps you find your reason for being or ikigai in Japanese.

The Importance of Self-Reflection

Tools such as ImaginePhD can help you begin to map out your reason for being but the process of finding a career fit that is right for you also takes some deep self-reflection.

You often need to listen to your gut and not overly rationalize a career choice. If you have some internal feeling of doubt/concern about a potential career path, it could be nerves, but it could also be your body telling you it might not be the best fit. Really, you need to integrate the rationale side of you with your emotions and "instincts" to make smart career decisions.

Only late in my postdoc did I start shifting my focus to other career options. You can read a bit about that career journey here, here, and here. I am happy in my current choice and feel like it nicely fits my personality while giving me a good work-life balance. 

Final Thoughts

There are plenty of career options for Ph.D.-trained researchers. Tools like ImaginePhD and other IDP-planning resources can help you begin to discover what those other career options are.

I believe everyone has a unique set of skills that contribute value to the world. The key is discovering how they map onto your interests and values and can lead to meaningful and fulfilling work.

Precision medicine is a phrase often used in healthcare but not well understood, especially by the general public. What type of precision are we talking about? Precision medicine is an emerging approach to disease treatment and prevention that considers differences in people’s lifestyles, environments and biological makeup, including genes. When the Precision Medicine Initiative launched in 2015 it was promoted as a great leap forward in understanding the various factors that contribute to human health and disease in the United States (U.S.). Read the Precision Medicine Working Group Report here.

The project has since been branded the All of Us Research Program and that title could not be more fitting. The goal of the program is to recruit 1 million individuals who will volunteer to provide their biological and health information in the form of medical records, genetic samples, and lifestyle data that is both self-reported and obtained from wearables (FitBit-like devices).

All of Us Seeks to Represent & Engage a Diverse Population
The All of Us program participants are to reflect the diversity of individuals living in the U.S. and are being treated as partners in the study. This concept of partnership speaks to the idea of participant engagement, an area Consuelo H. Wilkins, MD, MSCI, Executive Director of the Meharry-Vanderbilt Alliance and leader of the All of Us Research Program Engagement Core, knows quite a bit about.  Engagement differs from recruitment in that its goal is to involve participants in the design, implementation, and oversight of the research, not just to enroll them in a study. Engagement is also a 2-way line of communication where research plans are transformed based on the perspectives of all those involved in it: researchers and participants.

Participant Engagement is Critical to the Success of All of Us
So far, All of Us research participants have been “all in” to contribute to the program. Alecia Fair, DrPH, Research Assistant Professor with the Meharry-Vanderbilt Alliance, has been in the public health and health promotion/education field since 1992 and has never seen the degree of investment participants in the All of Us pilot program have displayed since it began in 2016.

Individuals have strong motivations for volunteering as participants. Many have loved ones who are sick or died prematurely from disease and hope their contribution to the program as a participant, and also as a voice of participants, will make a difference in the health of others. Generating a high level of individual involvement, investment, and trust in participants is critical as they can volunteer as much or as little information as they want to the program. In order for deeper insights and knowledge to be gleaned from the program, participants will need to be willing to share information from their electronic medical record, genetics, wearable devices, and self-reported daily lifestyle choices.

For a Deeper Dive:
About the All of Use Research Program

New England Journal of Medicine special report on the project (published 8/15/19)

Want to take part? Enroll in All of Us here: https://www.joinallofus.org/en
Have questions about the program? See FAQs here.
Want to engage your community in the program? See resources here.

Read more about Engagement and the All of Us Program Here: 
https://catalyst.nejm.org/precision-medicine-initiative-everyone/

Vibrent Health’s Role in All of Us: 
https://www.vibrenthealth.com/knowledge-center/2018/05/vibrent-health-power-technology-history-making-us-research-program/

As the calendar approaches August, it is that time of year again - the academic job search season is upon us. Faculty job advertisements start to be released in August and some application deadlines are as soon as mid-September.
Many bright and motivated graduate students and postdocs will be applying for these positions.

Landing a Faculty Job is Challenging
I think most know that it has become exceedingly difficult to land a tenure-track academic position (see a nice description of the process from one applicant here & see also). Data from the biomedical sciences estimate only ~20% of all Ph.D.s are working in tenured or tenure-track academic positions. In 2006, ~15% of US doctorates in biological sciences were in tenured/tenure-track positions within six years of completing their Ph.D.s with ~18% in untenured roles (postdocs, lecturers, research associates), this compared with ~55% in tenured/tenure-track roles in 1972.

The aspiration of many Ph.D.s is to strive toward an academic position, though interest is declining. But what will make you more competitive on the academic job market?

Predictors of Academic Job Market Success
For some insight, see this nice piece on preparing for the job search. Quantitative studies have also begun to shed light on the hiring process. Perhaps not surprisingly, the number of first-author publications (particularly in high-impact journals) are strong predictors of who becomes a principal investigator, PI (i.e., faculty member running a research lab). In addition, making sure your research builds on but branches out from that of your graduate school and postdoctoral mentors is critical.

I am also working with a team from the Future_PI Slack group to better understand what metrics predict who receives academic job offers. We are still analyzing that data but what I can say is that the objective metrics of funding track record and high-impact publications are important but the effects are rather small. What that means is that what separates those who get job offers from those who don't is not such much the volume or quality of their work or their ability to attract funding. Rather, I believe, it often comes down to the more subjective measure of "fit."

From my own experience on the academic job market, here are some points to keep in mind:
1) Leverage your network to find out what search committees really want (i.e., are prioritizing).
2) If you are in doubt regarding your fit for a position, reach out to the search committee chair.
2) And thoroughly research the department to see if YOU think you would be a good fit.

It is important to learn more about what search committees want as a job advertisement often doesn't tell the whole story. Sometimes, committees don't even know what they want.

I will give you an example: I was forwarded a job advertisement for a genetic epidemiologist faculty position at a large, research-intensive institution a couple of years ago. I don't consider myself to be an epidemiologist. Though, I did some behavioral genetics research. Nevertheless, the department where this position was located looked like a great fit: interdisciplinary, growing, filled with faculty interested in understanding complex problems such as drug addiction (which I myself was researching) at all levels. I figured it was worth inquiring with the search committee chair whether I would be a good fit. I emailed him, attached my CV, and asked if I should apply for the open position. He replied back that this was an interdisciplinary position and they were looking for researchers doing a variety of interesting work in relation to the study of drug addiction.
I applied and SURPRISE, this was the only position I applied to (out of 26) where I got an onsite interview that year.

LESSON: NEVER assume you aren't a potential fit for a position. Research the department to see if YOU think you could fit in there. If the answer is YES, I encourage you to apply and make the case in your cover letter. Also, reach out to the search committee chair for some guidance. Sometimes they will give you the blanket "we encourage all interested individuals to apply." If that is the case, doing your own homework to make a decision on whether to apply or not is critical.

At the start of our call he mentioned that SURPRISE he was on the search committee for the position. And guess what? This was one of those places with no search committee chair contact information was listed on the advertisement. What luck! He gave me the inside scoop and told me the department was prioritizing a faculty candidate doing diversity research. That was not apparent to me at all in the job advertisement. So, I was glad I spoke with this professor. I tailored my application to reflect the fact that the work I did was focused on how reward and decision making behavior varied based on participant sex, age, and genetic makeup (i.e., biological diversity). I didn't expect to hear from this department, though, knowing their priorities for someone studying diversity as a construct. And, after I submitted my materials, I didn't hear back from them. Having the knowledge that my fit was poor for the position, though, made the rejection easier to process.

Do your research & connect with potential future colleagues
Hopefully these personal accounts show you the importance of not just blindly submitting your materials to as many open positions as possible. If you take the time to do your research and talk to faculty in the department, you can better prioritize where to apply and how to tailor your materials to make the best use of your precious time. Applying to faculty positions takes a lot of work and energy but putting in the extra effort to connect with the search committee chair or other departmental faculty is more than worth it.

Speaking of skills and interests, if you have some lingering doubts on whether a faculty job is the right fit for you but are unsure how your skills and interests translate to other potential careers, I highly recommend taking assessments through myIDP and ImaginePhD. These online tools (and see) will map your skills, interests, and values to potential career options and give you the vocabulary and references to further explore them. You will be amazed by the variety of careers out there for Ph.D.-trained researchers.

And what if you get that faculty job offer? First congrats! Second, reflect and ask yourself: Do you see the institution and department as a good fit? Will you enjoy living in the area? You shouldn't take a position because it is your only offer. You want to make sure it seems like the right place for you. And if you accept the offer but wonder if you can succeed as a faculty member or are afraid of "failing" while on the tenure-track, read this superb piece for some encouragement and inspiration.

In closing, don't forget to also listen to your gut. What feels right in terms of a career for you?

I was barrelling down the road to a tenure-track position and got as far as an on-site interview and the dreaded waiting game to see if I was going to receive an offer. Looking back now, I am glad I didn't. It would have been hard to turn one down.

I couldn't help feeling during that time though, that being a faculty member at a research-intensive university might not be the best fit for me. Did I really want to have to constantly be thinking about and writing the next grant application? Always be drafting and revising that next publication? Did I want to have to develop a large research arc for my lab that was both practical but also innovative? I realized that I really didn't want to do all those things. They were what I had come to expect from myself over 10 years of graduate school and postdoctoral work but they weren't things I enjoyed doing.

During my time as a graduate student and postdoctoral fellow I also really enjoyed mentoring and helping others with their career plans. I got involved in the Vanderbilt Postdoctoral Association and now I work in Postdoctoral Affairs. It is a better career fit for me than the tenure-track. I am still in an academic environment but I get to spend my time mentoring and helping talented postdocs navigate their career search and support them in their professional development. The work-life balance is great and I have a lot of autonomy in my new role. I think it is the right place for me at this stage in my life.

I hope all those reading this piece find what that right fit is for you, too. And realize it may change over time and that is OK.

Happy hunting!

Further reading & resources:
Great resources are available on getting your faculty application materials in order:
The Academic Job Search (from University of California, Berkeley)
Academic Careers: Start Here (from the University of California, San Francisco)

You can also find examples of my own application docs on my Job Search Resources page.

Making the Right Moves: A Practical Guide to Scientific Management for Postdocs and New Faculty
resource from Howard Hughes Medical Institute.

Growing up, especially in middle and high school, I was not the most social person. I was (and still am) quite introspective...OK spending lots of time with myself and my thoughts. Interacting with people, especially during those awkward teenage years, seemed wrought with uncertainty and peril including the possibility of rejection, judgement, hostility, and pressure to conform. Human beings are complicated and unpredictable...do I really need them in my life?

Loneliness

I was pretty much a loner. A LONER...a kind of dirty word in the gregarious 21st Century, social-media driven society we currently live in. I am OK admitting it, though, as I don't see it as a completely negative thing. Sometimes you need to be alone with your thoughts to understand who you are and what you want out of life.
I was/am not alone in feeling alone. Data suggests many people (especially adolescents) feel alone and social media may make the situation worse. Loneliness is associated with increased mortality (see also) and the problem is getting worse with over 50% of Americans in one survey reporting they have no one outside their immediate family to discuss important matters with. But, we really need human connection, including people to confide in and advise us as we make important decisions in our lives. These people could be members of your family but it helps to have a deep professional network as well.

The Solitary Nature of Graduate & Postdoc Work
Pursuing a graduate degree, you can very much focus on yourself and your work - your task is to do a lot of thinking, analysis, and writing. These are often solo tasks and it is easy to think that your productivity and success are self-driven.

I would argue this sense of focus and unwillingness to seek outside support ramps up as a postdoc. As a postdoc, there is no longer a thesis/dissertation committee to naturally serve as a board of advisors. Postdocs should definitely work to expand their mentoring network beyond their primary research advisor. You should really form a "board of directors" for you consisting of people (ideally from a variety of backgrounds) whose opinions and advice you trust. These individuals can help you expand your horizons - encouraging you to think about the skills and experiences you should pursue as you work toward the next step in your career. They can also help you expand your network, often a critical component to securing your next job. 

The reason this type of "networking" is often so difficult is because students and postdocs don't start networking in earnest until they need a job. Their desperation ramps up the stress/anxiety for the subsequent interactions.
It is impossible to deny, though, that networks are often crucial to securing employment...see links at the end of this article on the "hidden job market."
This realization comes down to the fact that trust is a key component in the hiring process. If a perspective employee comes recommended by someone a potential employer trusts, we give that person an edge in the hiring process. It is human nature.

So, while interacting with people you don't know can feel awkward and comes with much uncertainty leading up to it...what to say to break the ice, how to fill the awkward silence that sometimes arises, etc..., it is crucially important to build genuine human connections. And not just for selfish reasons. We are social creatures and our mental and physical health is closely tied to interacting with others. Being with others makes us feel good. Furthermore, you never know what can come out of such in-person interactions.
A "stranger" is someone you just haven't connected with yet.

Small Actions, Big Impact

Recently, I attended the 2019 Graduate Career Consortium annual meeting. The GCC is a group of individuals who work with graduate students and postdoctoral researchers to help them build the skills they need to secure meaningful employment. They are a super generous and supportive group and I heard only good things about them from colleagues at Vanderbilt and UNC.
The GCC conference was filled with many opportunities to interact with attendees outside the usual sessions and meals including morning walking groups and impromptu dinners together. It would have been mentally/emotionally easier for me to choose not to attend these various extracurricular networking events. I had a long day, spent hours interacting with others during the formal conference events, and had work I needed to do.
I am glad I took the time to take part in these events, though.

The next day, during a pre-conference event, all in attendance lined up by the number of years they had been working in graduate career/professional development and this young man was at the far end (year 0). After he mentioned to the group he was finishing up Grad School, I felt compelled to tell the room that he was looking for a job. I don't think this guy would have done that publicly but know he appreciated the gesture (he thanked me later that day). At dinner the night before he mentioned he was applying for a position at Duke and I know one of the people he was going to meet with at the conference. I made sure to put in a good word for him. Who knows what will come of my actions but helping this young man out felt good. I think this is what most senior individuals at organizations feel when you interact with them - if they see your potential and passion, they are willing to help you out and get personal satisfaction from doing so.

Helping Others Helps Us

Most people want to help others, especially others they know to be deserving. However, it takes knowing someone on a more intimate level than what they do, where they work, etc... (gleaned from small talk) to really understand their personality, their wants/needs, and the value they can bring to an organization. So, I urge the postdocs and graduate students I interact with (and it's good advice for everyone) to build strong connections, ask for help and advice, and go beyond their comfort zone. The little actions you take can add up to big effects on your life.

I am personally going to try to meet more people, build my own personal board of directors, and develop deeper connections with others who share my personal and professional interests. I encourage you to do what you need to expand your network and interact with others: volunteer, attend (graduate or postdoctoral) association events at your institution, take advantage of networking opportunities in your community or at professional conferences, or just talk to a stranger. These actions will make you feel more connected to the world, increase your mental health, and could deeply impact your life.
While such "everyday" interactions may seem trivial and tangential in the near term, they could have a lasting effect on you, long term. You certainly won't know until you try.

Dopamine is often referred to as the "reward" neurotransmitter, a chemical signal released to rewarding stimuli such as drugs of abuse. Its effect on motivation and reward is, however, more nuanced.

Prefrontal Cortical Dopamine and Cognition
In fact, dopamine signaling in an area of the brain known as the prefrontal cortex (PFC) is critical for a variety of cognitive functions, including attention and processes such as working memory. Interestingly, dopamine's function on cognition has proposed to be non-linear (inverted U shaped) with some optimal intermediate level of dopamine associated with better cognitive performance. My own work in collaboration with Charlotte Boettiger and Amanda Elton has used the inverted-U model of PFC dopamine's effect on cognition to explain differences in working memory and choice behavior seen in healthy adults. We have also shown evidence of U-shaped patterns in resting and task-related brain function.

PFC dopamine is thought to vary based on genetics and sex. Thus, biological factors affect where individuals fall on the inverted-U. Additionally, stress is known to boost PFC dopamine (and other neurotransmitters) and an individual's biologically-based PFC dopamine levels may explain why some people perform better under stress (i.e., their basal PFC dopamine is sub-optimal but it boosted "up" the curve to optimal range with stress) then others (whose PFC dopamine levels may start out more in the optimal range but are then pushed into a supra-optimal level "down" the inverted-U curve). Genetic variation in one key PFC dopamine regulatory gene in particular (COMT) has led to the use of the term "warriors" and "worriers" to explain the function this natural variation in PFC dopamine plays in human behavior.

Dopamine Signaling Declines with Age
Dopaminergic signaling declines with age. A 2017 meta analysis led by Teresa Karrer has demonstrated declines in both the receptors that are the key target of dopamine signaling as well as the dopamine transporters important in the regulation of this signaling.
This decline has effects on a variety of decision making processes. It also has implications for the inverted-U model as natural declines of PFC dopamine with age would be expected to shift where individuals fall on the U-shaped curve.

Dopamine's effects on cognition in particular and the fact that cognitive processes also decline with age (also see) that has lead to the correlative triad hypothesis. This hypothesis proposes that the decline of brain dopamine signaling explains much of the cognitive decline in aging.

You can explore these data showing variations in age-related decline of brain dopamine via an online application created by my colleague, Kendra Seaman, here.

Aging, Dopamine, and Decision Making
While our own data does not unequivocally support the correlative triad hypothesis of dopamine, aging, and cognition, this does not mean dopamine changes with age don't impact some aspects of human behavior. Work from the Samanez-Larking group and others has shown older adults are more likely to choose skewed gambles than younger adults, are less sensitive to monetary losses, and decrease their selection of risky monetary choices with age. See two excellent review articles on some of this aging & neuroeconomics literature here and here.
Our group, in work led by Kendra Seaman, has also found evidence that different types of commodities (social interaction and health) may be more valuable to older adults immediately and with certainty than money.
Interestingly, the brain regions responsible for assigning value to potential rewards are consistently engaged across adulthood. Thus, older and younger adults are using similar brain mechanisms to assign value to rewards. It is possible, though, that changes in dopamine signaling in these key reward valuation brain areas (ventromedial PFC, ventral striatum) influences to amount of value assigned to rewards as we age.

Summary & Future Directions
An increasingly aging human population makes it critical to understand how decision making processes may differ between younger and older adults. Natural, age-related declines in dopamine probably play a role in reward and choice behavior differences between young and older adults. Understanding the differences between choice behavior with aging will allow more effective interventions to be developed to assist older adults in their financial and healthcare choices (see also).
More work is needed to determine if particular approaches (from pharmacology to exercise) can be taken to optimize PFC dopamine levels and/or prevent age-related declines in dopamine signaling.