Article originally published at https://medium.com/@nadegeminois/why-you-should-hire-a-scientist-for-hybrid-project-management-dc809e97df81
When I switched from research in Biology to project management, I realised that, without knowing it, I had loads of experience in hybrid project management. Doing research is actually not very different from doing another type of project. Although you don’t call them the same, a scientist running and managing research projects uses a lot of techniques used in “formal” project management. A scientist can also bring highly valuable transferable skills as a project manager.
So, let me convince you that next time you hire a project manager, don’t sniff at the application from someone with a scientific background.
First, what’s the fuss with hybrid project management?
The ability to adapt project management methods becomes ever more crucial. Many companies now use hybrid project management, blending traditional and agile approaches to create a method tailored to each project’s unique demands. In short, it is a methodology spreading more in companies because of its adaptability to each organisation’s needs and culture.
While project managers with experience in different methodologies are valuable, a scientist as a project manager can be a game-changer. Scientists bring a unique blend of analytical skills, problem-solving abilities, and a rigorous approach to data that can significantly enhance the effectiveness of hybrid project management. Here’s why hiring a scientist can help make your hybrid project management approach more innovative, accurate, and resilient.
But before looking at these skills, let’s analyse the life cycle of a research project. I focus here on projects in “hard” sciences as they are sometimes called, because this is what I know best.
How a research project evolves
As any project, a research project begins with a question, an idea, a need. Then, as any project, you need money to carry the project out. And when you add salaries, costs of fancy equipment, consumables and everything else, it can come to a hefty amount of money!
And at this stage, it is all predictive project management. Because this is what you need to do when you apply for money to a funding body. You need to have everything planned for the whole length of the project: everything you will need, what you will do, when, who will do it (at least position and experience level if not specific names). And of course, you need to explain the expected results.
But it isn’t just about scope, resource and schedule. It is also about risks, benefits, impact as they sometimes like to call it and how the project fits in the overall field. In short, you also need to have the equivalent of the whole business documents you would prepare at the start of a project, even before formally initiating a project.
And let’s not forget communication! When you prepare a grant proposal, you need to detail the meetings you will have with your collaborators, the conferences you plan to present your results to, the articles you plan to write and outreach events to talk about your research and its importance to general audiences.
But from then on, once you have the money, it becomes all agile!
The cost is fixed: you cannot get more money for the same project. The time is fixed: your grant may be for a year, 3 years, 5 years or however long. This is the amount of time during which you will receive the money you got. The quality is fixed, because you want to publish your results in the best journals, to get more recognition and money for future projects.
So, in a very agile way, what will differ from your original plan is what you deliver. You will have of course your Minimum Viable Product, the least your project needs to deliver to be of the quality and scope required. However, exactly, how you deliver it, when, will vary. There are also peculiarities of science that makes any project uncertain and thus more agile. Techniques evolve quickly and a new, better technique, to measure what you wanted to measure has been developed. It is like taking an new opportunity in any project. Then, more specific to science, is that you cannot always predict the results of your experiments. So, it may happen that your project ends up in a different direction. This would be like finding a different way of providing greater value with your project.
For instance, this latter aspect happened to me both in my Masters and my PhD. I did not get the results we first expected from our hypothesis. This led me onto a new path, a new avenue of research, which at the end led to results that had greater value to the field.
I hope you can see in this description how scientists master both the more rigid structure of the predictive approach and the flexibility of agile methodologies.
Now, let’s look at individual characteristics that scientists get from their education and training. I will look here at 6 characteristics particularly suited for switching to project management. (A disclaimer here: the remainder of the article have been first drafted with the help of AI, unlike what appeared before).
1. Scientists Thrive in Complex Environments
One of the most notable strengths scientists bring is their ability to navigate and make sense of complexity. In research, scientists often tackle intricate, multifaceted problems that require a high tolerance for uncertainty. Hybrid project management similarly deals with diverse, evolving requirements, needing adaptive thinking and creative problem-solving. For example, managing a project with both agile and waterfall components may require complex coordination between teams operating under different principles. A scientist, accustomed to handling complexity, can bring methods and insights that facilitate clear decision-making amidst these dynamics.
2. Strong Analytical and Data-Driven Approach
Scientists are trained to rely on evidence, systematically testing hypotheses and analysing results. This approach translates well to hybrid project management, where balancing traditional metrics with agile flexibility can be challenging. By hiring a scientist, you bring on board someone skilled at data collection, analysis, and interpretation. Scientists are equipped to establish meaningful performance metrics, assess risks, and provide insights on progress. Their capacity for data-driven evaluation can make hybrid projects more transparent and better structured, as they can quickly identify trends, inefficiencies, or potential issues based on data analysis.
3. Effective Problem Solvers
Problem-solving is at the core of scientific work. Scientists are accustomed to dealing with challenges that don’t have obvious solutions and are skilled at developing innovative approaches to overcome them. In hybrid project management, unexpected problems are often a reality. A scientist’s problem-solving approach is methodical, systematic, and creative, which can be instrumental in developing solutions that bridge the gap between agile and traditional project requirements. For example, if a project encounters resource bottlenecks, a scientist can break down the problem, test potential solutions, and recommend an evidence-based approach that minimises disruption and optimises workflow.
4. Familiarity with Technological Tools and Research Methods
Today’s scientists work with a wide range of technological tools, including data analysis software, project modelling, and simulation tools. This technological know-how is invaluable in hybrid project management, where tools are often needed to manage various project stages, track progress, and analyse performance. Furthermore, scientists are familiar with rigorous research methods, allowing them to evaluate new project management tools, techniques, or practices objectively. They can introduce tools that add value to the project, helping teams improve efficiency and effectiveness.
5. Unique Perspective and Fresh Ideas
Because scientists come from a background of discovery and innovation, they can offer perspectives that are often different from those of traditional project managers. Their diverse knowledge base can inspire creative solutions, enabling the project team to view challenges from new angles. Scientists are also used to working in cross-disciplinary environments, where collaboration and open communication are essential. This background allows them to bridge gaps between traditional and agile teams, fostering an environment where innovation and structure coexist harmoniously.
6. Emphasis on Continuous Learning and Adaptation
Scientists are trained to be lifelong learners, continually seeking new information and adapting to advancements in their fields. This mindset aligns well with the iterative nature of hybrid project management, where adaptability and continuous improvement are crucial. By hiring a scientist, you bring in someone who is not only open to learning new project management techniques but also eager to apply insights from ongoing research. This emphasis on learning allows your team to stay updated with best practices and makes your project management approach more adaptable and resilient over time.
Conclusion
Hybrid project management is a versatile approach, but it requires a unique skill set that combines traditional planning with agile responsiveness. A scientist can complement the project team with their analytical mindset, problem-solving skills, and adaptability. They bring a fresh perspective, are highly data-driven, and have an innate ability to manage complex, evolving situations. In a landscape where projects demand agility, precision, and creativity, hiring a scientist can give your organisation a competitive edge. By leveraging their skills, you can make your hybrid project management approach more effective, innovative, and prepared for the challenges of the modern business environment.