Why Do So Many Brilliant Scientists Struggle When They Leave Academia?

Introduction

Over the past 15 years, I’ve had hundreds of conversations with scientists trying to navigate careers outside academia. One observation kept repeating itself—and it eventually led to the founding of SciPhD.

The SciPhD Philosophy is built upon a simple observation: scientific excellence alone does not fully prepare scientists for success in every professional environment.

Traditional graduate and postdoctoral training develops exceptional scientific expertise and prepares scientists to advance knowledge through rigorous research. SciPhD complements that training by helping scientists develop the professional competencies and entrepreneurial mindset that enable them to maximize the value they create throughout their careers.

This is the first essay in a new series exploring the philosophy behind our work.

During my career I’ve had the privilege of working as an NIH scientist, leading teams in industry, and, for the past fifteen years, helping thousands of PhDs transition into professional careers.  One observation has remained remarkably consistent.

Some of the most brilliant scientists I’ve ever met struggled when pursuing careers outside academia, sometimes struggling to land interviews, let alone receive job offers.  And it wasn’t because they lacked intelligence, or scientific rigor- but because they were entering organizations that rewarded a different set of competencies.

These gifted experts had the technical expertise, creativity, resilience, and problem-solving abilities necessary to perform top-level scientific research.

Their challenges rarely involved science.

Instead, they often involved organizational communication, influencing without authority, embracing cross-functional collaboration, understanding organizational priorities, thinking entrepreneurially, managing projects, and leading people.

Why?

Academic research laboratories and non-academic professional organizations pursue different missions.

As a result, they often define and reward success differently. Academic scientists are typically recognized for their individual scientific contributions—publications in high-impact journals, grants, and advancing knowledge. Professional organizations certainly value scientific expertise, but they also evaluate how individuals contribute to organizational objectives through communication, collaboration, leadership, and execution. Neither system is inherently better. They simply prepare scientists for different environments.

This distinction is subtle, but important. Academic laboratories are designed to generate new knowledge. Professional organizations are designed to accomplish organizational missions, whether those missions involve developing therapies, advancing public health, commercializing discoveries, advising clients, or supporting government initiatives. Scientific expertise remains essential in all of these environments, but success also depends on how effectively individuals work with others to advance shared organizational goals.

What Academia Does Exceptionally Well

Universities perform an extraordinary service to science and society.

They teach scientists how to think critically, become subject matter experts in their chosen field, conduct rigorous research, solve difficult technical problems, and generate new knowledge.  But that isn’t the same as preparing someone to lead teams or operate effectively inside complex organizations. Academic science has been extraordinarily successful at expanding humanity’s understanding of the natural world. That success should be celebrated, not diminished. SciPhD was never created because academia was failing. It was created because scientific careers have diversified.

Why SciPhD Was Created

That realization changed the trajectory of my own career.

SciPhD was founded on a simple premise: scientific expertise and professional effectiveness are complementary competencies. Academia is not broken.  Universities do an outstanding job preparing scientists to conduct research and provide the environment for them to do so.  As such, academia plays a critical role in establishing the body of knowledge that underpins virtually every advance in human health. SciPhD was created because professional effectiveness depends upon a complementary set of business and social competencies that extends beyond scientific expertise which are rarely taught in graduate or postdoctoral programs.  SciPhD helps scientists develop those additional competencies that enable them to apply that expertise effectively in professional organizations. Scientists deserve the opportunity to develop both scientific excellence and professional effectiveness. That belief has guided every decision we’ve made at SciPhD.

Over the coming weeks I’ll share the principles that have shaped SciPhD’s approach to developing scientists- not just to obtain jobs, but to maximize the value they create throughout their careers.

Key Takeaways

• Academic and professional organizations often reward different competencies.
• Scientific excellence remains essential in every career path.
• Professional effectiveness complements—not replaces—scientific expertise.
• Developing both broadens career opportunities and increases long-term impact.

The SciPhD Philosophy

Part 1 of 12

Next: Scientific Excellence and Professional Effectiveness Are Different Competencies.

Scientific Excellence and Professional Effectiveness Are Different Competencies

In the first essay, I argued that scientific excellence alone does not always prepare scientists for success in professional organizations.  Why is that?  One of the most common assumptions I encounter when speaking with PhD students and postdocs and even faculty members is that becoming an exceptional scientist naturally prepares someone for professional success. It doesn’t!  Not because scientific excellence isn’t valuable- it absolutely is- but because professional effectiveness is a distinct set of competencies that must also be developed. That distinction became the foundation upon which SciPhD was built.

Throughout our scientific training—from undergraduate education through graduate school and postdoctoral training—we develop deep expertise in a highly focused area of science. We learn to think critically, design rigorous experiments, interpret complex data, and distinguish correlation from causation. These competencies are the foundation of scientific excellence and are often the first qualities evaluated when organizations recruit scientific talent.

Scientific excellence determines what you know and what you can discover.  Professional effectiveness determines how successfully that expertise creates value within an organization. 

What constitutes professional effectiveness?  An ability to effectively communicate in cross-functional and cross-cultural teams, where not everyone has the same technical background.  It’s the ability to build rapport with team members, and when leading a team, demonstrating empathy to build trust, and understanding how to motivate your team to succeed through encouraging mastery, autonomy, and a shared purpose.  It’s applying the principles of project management that emphasize delivering the agreed objectives on time and on budget, and applying entrepreneurial thinking that asks not simply “what is it possible to do?”, but “what should we do to create the greatest value?”.

None of these competencies replace scientific excellence.  They amplify it. In that sense, professional effectiveness becomes a scientific force multiplier.  Scientific excellence is the foundation.  Professional effectiveness determines how far that excellence can reach.  In Essay 4, we’ll explore why and how professional effectiveness acts as a scientific force multiplier.

Graduate education develops exceptional scientists.  Professional organizations depend upon scientists who combine scientific excellence with professional effectiveness.  The most successful scientists develop both. Helping scientists do exactly that has been SciPhD’s mission from the beginning.

Different Organizations Reward Different Behaviors

One of the most important lessons I learned moving between academia and industry was that organizations naturally reward the behaviors that help them accomplish their mission.  People generally respond to the incentives created by the systems in which they work. When I first transitioned from academia into industry, I realized that the behaviors that had been rewarded throughout my academic career were no longer the only behaviors that determined success.

The primary mission of an academic research laboratory is to generate new knowledge. Success within that system is largely measured by publications in high-impact journals, securing competitive grant funding, and establishing scientific reputation. Graduate students and postdoctoral scholars play an essential role in that enterprise while simultaneously developing the technical competencies required to become independent scientists.

Professional organizations pursue a different primary mission. In the context of SciPhD, we’re talking about biotechnology, pharmaceutical companies, consulting firms, government, nonprofits, and startups. They focus on solving organizational and societal problems by developing products and services that improve health and create value. In this case, success is typically measured by:

• Achieving organizational objectives
• Successful team outcomes
• Delivering products or services
• Creating value for customers, patients, or stakeholders

Because organizations pursue different missions, they naturally reward different behaviors. That does not make one environment superior to another. It simply means that scientists transitioning between environments must recognize that the competencies most valued in one setting may not be the same as those emphasized in another.

Graduate students and postdocs become extraordinarily well-trained scientifically.  And this is because the academic research enterprise is optimized for producing scientific discovery.  It is not optimized for delivering products or services.  Understanding that distinction allows scientists to intentionally prepare for the environments in which they want to make their greatest contribution.

As we said above, organizations naturally reward the behaviors that help them accomplish their primary mission. For example, leadership development is essential for long-term success in many professional organizations. However it is generally not among the primary criteria by which academic research programs evaluate scientific success.  This distinction explains why some exceptionally accomplished scientists find career transitions surprisingly challenging. They’re not being asked to become different scientists. They’re being asked to demonstrate additional competencies that support a different organizational mission.

Recognizing that different organizations reward different behaviors is not about choosing one career path over another. It’s about understanding how success is defined in different environments so that scientists can contribute at their highest level wherever they choose to work.

Professional Effectiveness Is a Scientific Force Multiplier

One of the most important transitions in my own career had nothing to do with science.  It happened when I took over a multidisciplinary project team in one of my most significant industry positions.  Initially, my own self-confidence and security was challenged when trying to grasp the roles and responsibilities of other team members whose technical backgrounds were very different from my own. But once I learned to become a “learner” and not just an “expert” and built rapport with my team members, a whole new world opened up where the combined skills and experiences of the team led to new products that were developed and released far more efficiently than I could ever have done on my own.  As I learned to communicate more clearly, collaborate intentionally, and manage my work with discipline, my work output didn’t just increase— it multiplied.  Opportunities emerged that had previously been invisible.  Science didn’t change, I changed, and that shift amplified everything around me.

I recognized that in addition to my individual role as a scientist, I also had a team role. I watched how one person’s effectiveness could lift everyone else. When I shared information proactively, others did too. When I clarified expectations, confusion evaporated. When I invited collaboration, breakthroughs happened that none of us could have achieved alone. The multiplier expanded beyond my own work and became a shared engine of progress.

There was another revelation.  For a long time, I presumed that this “breakthrough” of applying professionalism was non-existent when I was a graduate student or postdoc. But when I think back on my academic career, I now recognize that some of the biggest advancements and breakthroughs were a result of collaboration, informal communication, and strong rapport with other scientists, not just me on my own.  Professional effectiveness was actually multiplying my effectiveness as far back in my career as I can recall!

Looking back, I eventually realized what had happened.  Professional effectiveness had become a Scientific Force Multiplier. It hadn’t replaced my scientific expertise— it had amplified its impact.

Scientific expertise remains the foundation.  Without it, there would be nothing to multiply!  Academia is extraordinarily successful at producing scientific expertise.  Professional effectiveness can multiply scientific impact in many ways.

Together, these competencies increase the impact of scientific expertise.  Communication helped ideas influence decisions.  Leadership enabled the team to accomplish more than any individual could have achieved alone. Project management accelerated execution.  Entrepreneurial thinking focused our efforts on creating meaningful value.

The story is really quite simple: professional effectiveness multiplies scientific impact at the individual, and team levels. It starts with one person choosing to lead collaboratively, and it grows into something far larger— something capable of doubling, tripling, or even transforming the value of scientific discovery itself.  Professional effectiveness doesn’t replace scientific excellence— it multiplies its impact. That realization has shaped every SciPhD program we’ve developed since.

Leadership Begins Long Before You Have a Leadership Title

One of the more common misconceptions I encounter is that leadership begins the day someone becomes a manager, principal investigator, or executive. The thought is that leadership is bestowed as part of gaining formal authority.

I don’t believe that is true.

Leadership is not defined by the authority you have over others. It is demonstrated by the influence you have on what happens around you.

Some of the most effective leadership I have witnessed in my own career came from people without formal authority.  Authority comes from position.  Leadership comes from behavior, influence, and empathy—the willingness to understand the perspectives and concerns of others. A graduate student can demonstrate leadership, as can a postdoc and a staff scientist.  Doing so does not require a specific title or grant of authority.  Mentoring junior students, organizing collaborations, improving the interpersonal working environment in the lab, resolving conflicts in an empathetic way, sharing knowledge, creating trust, and helping others succeed are all examples of opportunities to demonstrate leadership without formal authority.  And these acts of leadership often have measurable outcomes.

Leadership experience should not be confused with management experience. Management usually comes with formal responsibility for people, resources, or deliverables. Leadership can occur without any of those things. Scientists frequently lead through influence long before anyone formally reports to them.

Throughout my career, somewhat paradoxically, I have seen some of the most effective leadership occur when someone shifted from being the “expert” to becoming the “learner.”  Effective leaders seek to understand before attempting to influence.  By demonstrating a genuine interest in the viewpoints and concerns of the people you are interacting with, you build rapport and trust, while sending an implicit message to the other person: “I value your opinion.”

That is leadership in practice.  It can help build consensus that may or may not align with everyone’s initial viewpoint but allows all parties to feel that they were heard and that the interests of the team were considered. It creates a shared sense of purpose, which can become a powerful motivating force. People want to work with leaders who make them feel valued and part of something larger than themselves.

Influencing without authority is a core competency in the SciPhD Philosophy.  Your effectiveness depends on your ability to influence people over whom you have no formal authority.  That’s leadership.  The experiences you gain during your scientific training can provide credible examples of ‘prior leadership experience’ when employers ask for it.

So take advantage of opportunities to lead without authority.  Don’t wait until someone makes you a leader to start behaving like one.  Leadership doesn’t begin when someone gives you authority.  It begins when you accept responsibility.

Entrepreneurial Thinking Is About Creating Value

Entrepreneurial thinking is not primarily about starting a company.  It is about recognizing opportunities to create value.  Professional effectiveness can multiply scientific impact. Leadership allows scientists to influence what happens around them, even without formal authority. Entrepreneurial thinking directs those capabilities toward another objective:  creating value.

In our case, we formed Human Workflows to address one problem—how to best leverage pioneering new translational science and bioinformatics capabilities towards improving the drug discovery process.  But in working on that problem, we began observing another. Scientists moving from academic research into other professional organizations were encountering expectations for which their scientific training had not necessarily prepared them. Rather than continuing to focus exclusively on the problem we originally set out to solve, we followed what we were learning. That observation ultimately led to SciPhD. That ability to continually observe, shift from “expert” to “learner,” recognize real problems, and develop solutions that create value is the essence of entrepreneurial thinking.

For different types of organizations, “value” can mean different things.  It can mean creating products or services that address an important societal need such as therapeutics and diagnostics, and generate the revenue necessary to sustain a for-profit company, or it can be improving public health by a government agency to fulfill its mission, or advancing the mission of a non-profit.  And for an academic research lab, value may mean generating important new knowledge, developing an approach that enables previously unanswered questions to be addressed, or producing discoveries that advance a scientific field. Publications, funding, reputation, and the ability to recruit talented scientists may follow from that impact. This brings up an important distinction.  Scientists are extraordinarily good at solving problems. Entrepreneurial thinking adds another important consideration: “Is this the right problem to solve?  Will solving it advance our mission or purpose?”

Within a company, shifting from “expert” to “learner” can help you recognize inefficiencies, unmet needs, and emerging technologies that could improve how the organization accomplishes its mission. Recognizing those opportunities—and determining which are worth pursuing—is entrepreneurial thinking in action.

Entrepreneurial thinking, however, cannot become an end unto itself.  Creativity and innovation create value only when they are connected to a meaningful objective. New ideas consume time and resources, so opportunities must be evaluated against organizational priorities, available resources, and the value they are expected to create. The value of an entrepreneurial idea should ultimately be judged by whether it helps the organization achieve its objectives—on time, on budget, and with the highest possible quality outcome.

There is another important consideration for scientists entering a new professional organization. Scientific training rewards expertise, and that expertise can create tremendous value. But entrepreneurial thinking also requires the humility to recognize that you may not yet understand all of the organization’s priorities, history, constraints, or reasons for doing things the way they do. Before advocating for a better solution, first seek to understand the problem from the organization’s perspective. An idea creates little value if it solves the wrong problem—or advances an individual’s priorities at the expense of the team’s objectives.

As a scientist, apply your experience and entrepreneurial thinking to identify opportunities others overlook. But don’t just ask what you’re capable of doing. Ask what is worth doing—and for whom.

Communication Is a Scientific Competency

Communication is not something scientists do in addition to science.  It is one of the ways science creates impact.  A brilliant idea that cannot be understood, evaluated, challenged, adopted, or acted upon has limited impact.  And communication isn’t simply transmitting information accurately.  It’s understanding who needs the information, what they need from it, and what needs to happen as a result.

Scientists communicate throughout their training. They write papers and grant proposals, present seminars and posters, defend dissertations, participate in lab meetings, and explain their work to other scientists. Scientific training therefore develops important communication skills. But much of that communication occurs within scientific communities where participants share technical knowledge, vocabulary, and expectations. Professional organizations dramatically expand both the audiences and the objectives of those conversations.

Effective communication begins not with what you want to say, but with what the other person needs to understand. Communication isn’t simply explaining.  Communication is a two-way conversation in which listening may be even more important than speaking. Unlike many communication techniques that vary with the audience and situation, listening is universally valuable. It helps us understand perspectives other than our own and is an exercise in both humility and empathy. Listening builds rapport and trust, while also conveying a simple but powerful message to the other person: “I value what you have to say.” Shifting from “expert” to “learner” helps you understand who you are speaking with, their roles and responsibilities, what matters to them, and how the information you provide can help them succeed.  Professional organizations depend heavily on teams and cross-functional relationships to achieve their required outcomes.

Scientists are trained to value completeness and precision—and rightly so. But effective professional communication doesn’t mean telling everyone everything you know.

It means determining:

“Who is my audience? What do they already know? What do they need to know? Why do they care? What behavioral objective am I trying to accomplish?”

Ideas need to cross disciplinary and organizational boundaries before other people can evaluate, adopt, fund, develop, manufacture, regulate, or otherwise act on them.

The same scientific result may need to be communicated very differently to a peer scientist, a project manager, an executive, a regulator, or a patient. Each has a different background, level of technical knowledge, role, and reason for participating in the conversation. Effective communication takes those differences—and your behavioral objective—into account. Your scientific expertise determines what you can contribute. Your communication competency strongly influences whether other people can understand that contribution and act on it. Communication competency is never fully mastered because every new audience, relationship, and professional challenge requires us to listen, learn, and adapt.

The underlying science doesn’t change. The communication does.

Adapting the communication isn’t “dumbing down the science.” It’s professional effectiveness. The goal of professional communication is not simply to demonstrate what you know. It is to create the understanding necessary for people to accomplish a defined objective together.

Project Management Is Leadership in Action

Scientists often believe they lack project-management experience because they’ve never had formal PM training or held the title of “project manager.”  Yet scientific work routinely requires clearly defining objectives, carefully planning the necessary experiments, and lining up all the required equipment, collaborators, and core facilities necessary to accomplish those objectives.  These are the same tasks and considerations that project managers deal with.

But effective project management is more than just building a plan.

Effective project management brings together three major responsibilities: developing and planning the project, executing that project effectively, and leading the team through both processes to deliver the desired outcome on time.

A project shouldn’t begin with a schedule.  It should begin with a clear understanding of what needs to be accomplished and for whom.  This is done through communication with the project stakeholders to answer the following questions:

• What are we trying to accomplish, and why?
• What are our success criteria?
• What could possibly go wrong?
• How do we do it?

During this whole process, an effective project manager develops rapport and trust with their project team.  Good leaders shift from “expert” to “learner” to encourage and invite the insights and professional input of the various stakeholders.  Building rapport with everyone on the project team encourages collaboration and helps produce more complete answers to those four questions, resulting in a more robust and executable project plan.

Identifying deliverables, milestones, specific tasks, dependencies, required expertise and resources, responsibilities, timelines and deadlines are all part of that process. Matching the right people to the right tasks increases the likelihood of both achieving the desired deliverables and completing the project on time.  A successful project isn’t simply one that eventually produces the desired result.  The result has to be delivered when it is needed.

One of the most important responsibilities of the project manager is to identify risks and develop strategies to mitigate or manage those risks.  As subject-matter experts, scientists can use their deep scientific expertise to recognize technical risks that might not be obvious to others, while project-management competency enables them to convert that recognition into mitigation strategies. This is an example of professional effectiveness as a Scientific Force Multiplier.  Good project management doesn’t eliminate risk.  It makes risk visible and manageable.

Execution of the project is not simply carrying out the predetermined plan.  Effective execution includes careful planning, regular monitoring to ensure the project remains on track, making tactical adjustments when necessary, and recognizing the expertise and talent available within the team. It also means delegating appropriate authority and accountability to those best positioned to make the project a success. Effective delegation also creates autonomy. When project leaders match talent to tasks, give team members appropriate authority to make decisions, and hold them accountable for outcomes, they create opportunities for people to exercise their mastery while retaining ownership of their work. Combined with a shared sense of purpose—an understanding that individual contributions are directed toward the success of the team—mastery and autonomy can become powerful motivators.*

Project leadership also frequently requires influencing without authority. Project teams may include collaborators, subject-matter experts, vendors, or colleagues from other functions who do not report to the project manager. The project leader therefore cannot rely solely on positional authority to get things done. Building rapport, establishing trust, communicating expectations, and creating a shared sense of purpose become essential to keeping the team aligned around the project objective.

Monitoring a project requires putting systems in place that allow the project leader to understand the project’s current status. Some of those systems may be technical: performance metrics, milestone reviews, equipment alarms, schedules, or dashboards. But one of the most important monitoring systems is the project team itself. Team members are often the first to recognize that something is going wrong. Whether that information reaches the project leader quickly depends largely on the rapport and trust the leader has established with the team.

If people are reluctant to bring you bad news, you have created a blind spot in your project-monitoring system.

Building professional relationships in which team members are as comfortable bringing you bad news as good news is central to effective project leadership.  That means checking in regularly, acknowledging success, and responding constructively when things go wrong. When tasks fail, it is important to partner with the team member(s), shift from “expert” to “learner,” understand the problem and its context, and then together as a team develop a plan to get the project back on track.  A good project leader should certainly discuss the impact of the failure on the project, including its impact on other team members whose responsibilities may depend on the successful completion of those tasks. But equally important is expressing confidence that, together, the team can solve the problem and get the project back on track. These strategies encourage your team members to communicate with you both in good times and bad, which is essential for you to manage the project and the project customer’s expectations.

Scientists who have developed complex research projects, anticipated what could go wrong, coordinated people and resources, built rapport and trust, adjusted when reality differed from the plan, and brought those projects to successful completion already have considerable project-management experience. What they may not have recognized is how much leadership those experiences required.

A project plan describes how you expect to reach an objective. Successfully getting a team there—particularly when reality doesn’t follow the plan—requires leadership.

That is why project management is leadership in action.

*The concepts of autonomy, mastery, and purpose discussed here were inspired by Daniel Pink’s work on motivation in Drive: The Surprising Truth About What Motivates Us. For an engaging overview, see the RSA Animate video “Drive: The surprising truth about what motivates us.”

Professional Reputation Is Built Long Before You Need It

When scientists look to advance their careers by finding a job, getting a promotion, or pursuing a collaboration, they often realize for the first time the value of their professional reputation.  But that’s too late to begin building it.

The reality is that your professional reputation begins forming with your earliest interactions with others—colleagues, supervisors, collaborators, customers, and others—and it continually evolves.  Your ability to build rapport, earn respect and trust, demonstrate empathy for others, and contribute positively to the communities in which you work all shape that reputation. You can think of your professional reputation as a “life string”—a timeline that winds through your accumulated experiences and interactions with others.  Each new professional interaction becomes part of that string, adding to the accumulated experiences from which others form judgments about you.

Professional reputation is much more than just visibility on LinkedIn, journals, or other social media. Professional reputation is essentially what other people have come to believe about you based on their personal experiences with you.

Are you reliable? Do you follow through? Are you a good listener? Do you share credit? Do you have that sense of humility where you can admit when you are wrong, or that you don’t know something?  How do you respond when things do go wrong? Do you help others to succeed?  Can you be trusted?

People remember what it was like to work with you.

Trust, reliability, and being a good professional partner are not earned from any single interaction.  Your accumulated behaviors and interactions are what shape others’ perceptions of you, and consequently, their willingness to advocate for you.  Your professional reputation compresses an entire history of behavior into information others will use when making decisions about you.

You build your professional reputation primarily through your interactions with others, many of whom may become part of your professional network.  But simply having a network, large though it may be, is not the same as building relationships.  Your goal is to develop reciprocal relationships with people in your network—you give as much as you take.  You are not just seeking advocacy—you are willing to provide advocacy as well.   As such, relationships must be developed over time.

Building those relationships does not require constant communication, but it does require genuine investment. You can’t reasonably expect someone to advocate for you if the only time you reach out is when you need something. Sharing useful information, offering assistance, making introductions, or simply maintaining occasional contact demonstrates that you are interested in contributing to the relationship, not merely benefiting from it.

There is another benefit to thinking deliberately about each of these interactions. The behaviors that build professional reputation can become habits. Daniel Kahneman, in Thinking, Fast and Slow, distinguishes between fast, automatic responses and the slower, more deliberate thinking that requires conscious effort. When someone challenges us, disagrees with us, or asks for advice, it can be tempting to respond immediately. But deliberately pausing to listen, ask questions, and understand another person’s perspective gives empathy and humility an opportunity to influence our response. Practiced repeatedly over time, those behaviors can become increasingly natural.

So, as your life string grows, you aren’t only accumulating experiences that shape how others perceive you. You are also accumulating opportunities to shape how you respond to others. The behaviors that build your professional reputation can gradually become part of who you are.

Advocacy requires some reputational risk.  When someone recommends you for an opportunity, they’re not simply providing some information about you.  They are saying in effect: “I know this person well enough that I’m willing to put some of my own credibility behind this recommendation.”  So, what have you done across that life string of interactions and relationships to give others the confidence to put their own reputation behind you?  Empathy can be a great teacher here. Put yourself in their shoes. Would you be willing to risk your own reputation for that person? If so, why?  What have they done that makes you feel comfortable putting your credibility behind them?

A colleague hears about an opening and says your name.

Someone asks a former coworker, “What’s she like to work with?”

A collaborator is deciding whom to invite onto a project.

Someone needs a speaker, consultant, scientific advisor, team leader, or candidate.

You may not know those conversations are taking place.  And you certainly can’t enter a room at that moment and start building a reputation.  That string started a long time ago.

Some of the most important conversations about your professional reputation will happen when you aren’t there.

Your professional reputation is being built in today’s meeting, today’s collaboration, today’s disagreement, today’s missed deadline, today’s opportunity to help someone, today’s response when something goes wrong. How you behave over time is what defines your professional reputation.

The goal isn’t simply to develop a large network. It is to develop relationships with people who know you well enough and trust you enough to advocate for you—and whom you know and trust well enough to advocate for in return.

By the time you need someone to advocate for you, their willingness to do so may already have been determined by all the experiences that came before.

That’s why professional reputation is built long before you need it.

Preparing Scientists for Multiple Career Paths Strengthens Science

For generations, graduate and postdoctoral research training programs have been organized primarily around preparing scientists to become independent researchers in academic institutions. The emphasis has been on scientific rigor and becoming an expert in a particular niche area of science. Historically, the anticipated career destination was often an academic position, ideally progressing to a tenure-track appointment, tenure, and leadership of an independent research laboratory.

Today, for a variety of reasons, more and more PhDs are expanding their career interests to include biotechnology, pharmaceuticals, government, nonprofits, consulting, entrepreneurship, scientific administration, medical and regulatory affairs, and other sectors. The question is not whether these so-called “alternative” careers are legitimate. They absolutely are! And given the substantial number of PhDs who pursue careers outside academia, describing those careers as “alternative” is increasingly difficult to justify. The more interesting question is whether preparing scientists for these different careers strengthens or weakens the scientific enterprise.

Academic research and professional development serve different but complementary purposes. Academic research seeks to expand our understanding of the natural world, often pursuing questions without any immediate practical application. That pursuit of knowledge has tremendous value in its own right.

Scientific discoveries can also provide the foundation for new technologies, medicines, services, and approaches to solving important problems.

Preparing scientists to contribute in these environments requires an additional perspective: understanding how scientific expertise can be applied within organizations pursuing particular missions and objectives. Entrepreneurial thinking is one component of that preparation. It encourages scientists to recognize opportunities, understand stakeholder needs, and identify ways to create value—whether through commercialization, improved organizational effectiveness, or other meaningful outcomes.

Preparing scientists for these diverse professional environments requires more than the scientific knowledge that academic institutions are so effective at developing. It requires additional perspectives and competencies: working effectively in teams, meeting objectives on time and within budget, being responsible stewards of organizational resources, and building rapport and trust with colleagues to improve team performance.

These competencies are not valuable only after scientists leave academia. We regularly hear from graduate students and postdocs who have applied these approaches to their current research, improving communication with collaborators, identifying project risks earlier, managing resources more effectively, and moving their research forward more efficiently.

In other words, preparing scientists for multiple career paths can also make them more effective scientists in the environment where they are currently working.

 These competencies include:

• Communication and collaboration
• Leadership and influencing without authority
• Project management
• Understanding organizational priorities
• Entrepreneurial thinking
• The ability to recognize opportunities to create value

Professional development is not remedial education for scientists whose academic careers didn’t work out. It is an investment in the professional effectiveness of highly trained people.

The NIH recognized that biomedical PhD career pathways were becoming increasingly diverse and that traditional research training did not necessarily prepare scientists for all those opportunities. Beginning in 2013, NIH’s Broadening Experiences in Scientific Training (BEST) initiative supported institutions exploring new approaches to graduate and postdoctoral career development.

SciPhD participated in BEST-supported professional development programs at several institutions. The initiative reflected national recognition of the importance of broader scientific career preparation. Universities and research institutions have since made meaningful investments in professional development, even as the fundamental incentives governing academic research continue to emphasize grants, publications, and scientific reputation.

The benefits of preparing scientists for multiple career paths extend well beyond individual career opportunities.

For individual scientists, broader preparation expands their understanding of possible careers, helps them recognize the value of their scientific expertise, and develops complementary competencies that allow them to succeed in different professional environments.

Employers and other organizations benefit from access to scientifically sophisticated professionals who are better prepared to contribute to their organizational objectives.

And the broader scientific enterprise benefits when scientific expertise flows into the many sectors where that knowledge can generate discoveries, solve problems, develop technologies, and create value.

 Together, scientific training and professional development help build a workforce capable of applying scientific expertise across a broad range of disciplines, organizations, and societal needs.

Professional effectiveness can also make academic scientists more effective collaborators, mentors, project leaders, and research group leaders.

Scientific training creates expertise. Professional development expands what scientists can accomplish with that expertise.

The value of scientific training should not be measured solely by how many scientists remain in academic research. It should also be reflected in what scientifically trained people accomplish wherever their careers take them.

Preparing scientists for multiple career paths does not diminish the scientific enterprise. It expands the ways scientific expertise can contribute to it.

And that strengthens science.

Workforce Development Is a Scientific Responsibility

Who is responsible for preparing the next generation of scientists to succeed?

Developing the scientific workforce is a shared responsibility, but not an equally distributed one. Academic institutions bear the primary responsibility for developing scientific expertise and should also develop foundational professional competencies. Employers, professional organizations, and scientific leaders can strengthen that preparation through experiential opportunities, mentoring, continuing development, and collaboration. When these participants work together, scientists are better prepared, employers gain access to a more capable workforce, and the entire scientific enterprise benefits.

Universities and other research training institutions are where most PhD scientists develop their scientific expertise and begin forming their professional identities.

They’re also where scientists can and should begin developing the complementary professional competencies, including business and interpersonal skills they’ll need throughout their careers.

A scientist shouldn’t have to wait until accepting a first industry position to discover that organizational communication, collaboration, project management, and entrepreneurial thinking are essential to professional success.

Rather, universities have an institutional responsibility to make complementary professional development available through graduate schools, postdoctoral affairs offices, career-development programs, and external partnerships. Academic research institutions have traditionally evaluated faculty success primarily through research funding, publications, and scientific reputation. The subsequent professional success of graduate students and postdocs often receives far less weight. Giving greater recognition to effective mentoring and the diverse career accomplishments of trainees could help create a more balanced scientific training ecosystem. Importantly, developing these professional competencies can also produce immediate benefits within academic laboratories, improving communication, collaboration, and the effectiveness of research teams.

Employers understandably seek scientists who arrive with both strong scientific expertise and the professional competencies needed to contribute effectively within their organizations. While effective employers provide onboarding, mentoring, and continuing professional development, they benefit when foundational business and social competencies have already been developed before employment begins.  And employers can facilitate that in a number of ways:

Job shadowing provides exposure to how scientific work is organized, evaluated, and carried out in professional environments.

Internships and experiential learning create opportunities to apply scientific expertise while learning organizational expectations.

Industry mentoring builds relationships with professionals who can explain career pathways and workplace competencies.

Participation in professional-development programs provides employer perspectives on communication, teamwork, project management, and entrepreneurial thinking.

Collaborative projects create opportunities to work on problems where scientific expertise must be integrated with organizational objectives.

These experiences do more than introduce scientists to potential career opportunities. They reinforce the professional competencies developed through formal training by allowing scientists to observe how those competencies are applied in real organizational settings. Entrepreneurial thinking, effective communication, and collaboration become more meaningful when scientists can see how they contribute to achieving organizational objectives.

Employers benefit from participating in workforce development because it gives them earlier access to scientists who may eventually become valuable employees.

They can observe how individuals communicate, solve problems, collaborate, and respond to professional challenges as well as vet them on their scientific expertise and judgment.

Collaboration may also create opportunities for technology transfer, licensing, or joint development, subject to institutional IP agreements.

And scientists can evaluate whether an organization and its culture are good matches for their interests and capabilities. This creates a mutually beneficial relationship.

Workforce development also depends on the scientists who lead research groups, teams, and organizations. Their responsibilities extend beyond achieving research or business objectives. Through mentoring, constructive feedback, delegation, and creating opportunities for others to grow, scientific leaders help develop the capabilities of the people around them. The professional behaviors they model can be as influential as the formal training programs their organizations provide.

Professional societies, regional biotechnology associations, and workforce-development organizations can serve as catalysts for collaboration, connecting academic institutions, employers, and scientific professionals.  Yet institutional support alone is insufficient. Individual scientists must recognize the value of professional development opportunities and actively participate in their own growth.

These contributions are different, but complementary. Academic institutions provide foundational preparation, employers reinforce that preparation through real-world experiences and continuing development, and scientific leaders and professional organizations help connect and develop talent throughout the scientific ecosystem.

No single participant can accomplish all of this independently. But when their efforts are coordinated, the benefits extend well beyond individual career opportunities.

Scientific discovery advances our understanding of the world. Developing the people who make those discoveries—and who translate scientific knowledge into meaningful contributions across society—helps ensure that progress continues.

Workforce development is not simply a service provided to scientists preparing for their next career opportunity. It is an investment in the future of science.

And that makes workforce development a scientific responsibility.

The Future of Scientific Leadership

The future of scientific leadership will depend not simply on developing exceptional scientists, but on developing scientists who can translate their expertise into collective achievement, create value, and develop the capabilities of others.  Scientific expertise remains essential.  But scientific expertise alone does not guarantee effective leadership.  If scientific expertise is not sufficient to prepare someone for leadership, what will scientific leadership require in the future?

The scientists who shape the future will need to understand how to bring people together, motivate them to excel, build rapport, navigate different organizational environments, recognize opportunities, and help others succeed.

Leadership is not a title, position, or a reward for scientific achievement.  It is a set of behaviors that enables people to accomplish things together that they could not accomplish as effectively alone.

The future of scientific leadership in academic and nonacademic environments requires an ability to develop and coordinate the contributions of other people. Even a highly accomplished academic PI depends on graduate students, postdocs, collaborators, and research staff.

The most effective scientific leaders recognize that their responsibility extends beyond directing research toward enabling others to contribute their best work. Effective scientific leaders build relationships characterized by trust, humility, empathy, and clear communication.

They listen before assuming they understand.

They encourage people to raise concerns, particularly when those concerns challenge the leader’s assumptions.

They recognize that influence often matters more than formal authority.

And they understand that their professional reputation is shaped by how they treat people, especially when circumstances become difficult.

The authority to make a decision may come with a leadership position, but the ability to inspire others to support that decision must be earned.

If we are to drive science into the future, we must also embrace entrepreneurial thinking in our science.  In academia, that might mean recognizing a new research direction, building a collaboration, or finding a more effective way to use limited resources. In industry, it might mean addressing an unmet customer need, improving a process, or developing a new product. In government or nonprofit organizations, it might mean finding better ways to accomplish a public mission.

The common competency is the ability to connect scientific expertise with opportunities to produce meaningful outcomes. But recognizing an opportunity is only the beginning. Turning that opportunity into meaningful results requires bringing people together, aligning their efforts, and helping them contribute their best work.

Developing people and high-performing teams are defining responsibilities of leadership.

An effective leader doesn’t simply assign work and evaluate results. They help others develop judgment, confidence, professional competencies, and the ability to take on greater responsibilities.  They delegate authority along with responsibility, empowering others to make decisions rather than simply execute instructions.  They provide constructive feedback.  They look for opportunities to praise good work and encourage and motivate when things don’t go as planned.  An effective leader is always focused on promoting mastery and autonomy and establishing a shared sense of purpose with their teams.

These human attributes form the foundation of effective leadership and professional success. As artificial intelligence becomes increasingly integrated into scientific work, hiring, and organizational decision-making, we must remember something fundamental: We hire humans, not chatbots. AI can certainly be a scientific force multiplier and can help scientists analyze information, prepare communications, develop plans, and solve problems. But a polished AI-generated response during the interview process doesn’t necessarily demonstrate that the scientist using it has developed the judgment, interpersonal awareness, or leadership behaviors needed to succeed in a real organization.  For example, AI might help someone prepare an excellent response to an interview question about managing conflict. But the real test comes when that person must navigate an actual disagreement with colleagues, listen to competing perspectives, and maintain trust while finding a productive resolution. That is not to say that AI is incapable of contributing to these activities, but rather, the ability to produce an AI-assisted output is not equivalent to possessing the professional competencies required to apply that output responsibly and effectively.

Scientific progress will always depend on people who can ask important questions, conduct rigorous research, and generate new knowledge. But the impact of that knowledge also depends on people who can work together, recognize opportunities, navigate complex organizations, and develop the capabilities of others.

These principles create both a challenge and an opportunity for academic institutions. Universities have a responsibility not only to advance scientific knowledge, but also to prepare the next generation of scientists for successful professional careers.

That responsibility extends beyond developing scientific expertise. It includes helping graduate students and postdocs develop the leadership, communication, entrepreneurial thinking, and organizational competencies they will need throughout their careers.

Yet academic faculty have traditionally been evaluated primarily on research funding, publications, and scientific reputation. The professional development and subsequent career accomplishments of their trainees often receive far less recognition.

An academic PI who develops scientists who go on to successful careers in industry, government, nonprofits, entrepreneurship, or academia has made an important contribution to the scientific enterprise.

If developing successful scientists is a central responsibility of academic institutions, then the effectiveness of faculty members in fulfilling that responsibility should contribute meaningfully to how their professional accomplishments are evaluated.

Effective mentoring, the development of professional competencies, and the diverse career accomplishments of trainees should be recognized alongside research funding, publications, and scientific reputation in decisions about faculty advancement. Such evaluations should recognize the quality of mentoring and professional development, not simply rely on placement statistics or the prestige of trainees’ subsequent positions. Institutions must also provide the resources and professional-development support necessary for faculty and training programs to meet those expectations. And academic institutions should develop professionally effective scientists not merely because employers want them, but because developing scientists is fundamental to their educational mission.

The future of science will undoubtedly be shaped by new discoveries, emerging technologies, and increasingly powerful tools. But the future of scientific leadership will be shaped by the people who know how to put those capabilities to work.

The future of scientific leadership belongs not simply to those who possess the greatest scientific expertise, but to those who can help that expertise achieve its greatest potential—through their own contributions and through the people they lead.

We need academic institutions that recognize developing successful scientists as a measure of leadership excellence. We need employers who value both scientific expertise and professional effectiveness. And we need scientific leaders who understand that their greatest contributions may include the accomplishments of the people they develop.

We began this series by asking why so many brilliant scientists struggle outside academia. The answer was never that they lacked scientific ability. Rather, scientific expertise and professional effectiveness are different, complementary competencies, and the behaviors rewarded in one professional environment may not be the same as those required in another.

Scientific training creates expertise. Professional development expands what scientists can accomplish with that expertise.

The future of scientific leadership depends on both.

That is the SciPhD Philosophy.