Give me an overview of the message below a story about it like an introduction. Summarize by making a good note for good understanding from the passage using the same sentence and words and answers all the questions according to UCC examination purposes. Also set questions and answer them from the same passage accordingly for objectives. SESSION 2: PROFESSIONAL SKILLS FOR SCIENTISTS You are welcome to the second session of Unit 6 of the module in Introduction to Scientific Investigation. This session will take you through the professional skills that all scientists need. We hope you will enjoy the unit. Objectives By the end of the session, you will be able to describe at least six professional skills that scientists need. Now read on … 2.1 Professional Skills all Scientists need The most important traits in any career are the desire and will to pursue and excel within it. It can be argued that certain personal qualities are more or less valuable to a scientist, but any such list will always be subjective. The best that can be done is to find some commonalities in the skills and environment across varied scientific disciplines and determine what qualities may be best suited to those skills and surroundings. For science to be sustainable, all entities involved in the scientific enterprise must be able to recruit, train and retain scientists who can adapt to the evolving needs of the scientific workforce and society. Scientists working in academic and industry labs, in policy and in communications all have made valuable contributions to the fight against diseases, improvement in life of individuals, technological advancements etc. To thrive in their future careers, scientists, trainees need to learn both technical and professional skills from experimental design to written and verbal communication to specific scientific techniques to working in diverse teams. Companies in every industry want to hire well-rounded individuals with a balanced mix of technical expertise and professional skills, and the field of biotechnology is no different. Biotechnology focuses on the intersection of biology and technology, and the development of new products that are designed to improve people’s health. For example, professionals in this field might focus on advanced therapies, stem cell and gene therapy, or biopharmaceuticals. While the skills needed to become a biotechnologist are scientific and technical, companies today are focused on hiring individuals who demonstrate strong soft skills above all else. Soft skills include competencies like communication, social skills, and attitudes. “Scientists have a reputation for being quirky and keeping to themselves,” he says. “That’s okay if you’re going to become an academic researcher, but most students are preparing to go into industry. The number one thing we hear from employers is that they want someone who fits into their business culture.” According to LinkedIn’s 2019 Global Talent Trends report, 92 percent of talent professionals and hiring managers consider soft skills to be just as important or more important than hard skills. In fact, the report concluded that 89 percent of bad hires were found to have poor soft skills. This is a prevalent concern at life science companies, according to research. Hiring managers are becoming increasingly concerned with finding individuals who not only possess the technical knowledge, but the skills to help implement strategies, develop industry partnerships, and lead a product or organization to success. More than ever, companies today are placing a high value on soft skills like teamwork, business acumen, critical thinking, and problem-solving. 2.2 Examples of Key Soft Skills Below, we offer a glimpse at some key soft skills that will drive professional success in science education and science learning: Communication Teamwork Business Acumen Self-Motivation Adaptability Management Skills Critical Thinking and Problem Solving Curiosity Reasoning Interpersonal Skills Creativity Independent learning Mentoring 1. Communication As science becomes increasingly interdisciplinary, professionals in this field must be able to distill complex topics into concepts that are easily understood by lay audiences. Scientists also need to hone interpersonal communication skills, which are necessary when collaborating with fellow scientists. Developing these abilities will be especially important for giving presentations, networking at industry conferences, and working in teams. 2. Teamwork Science is a collaborative field. Scientists need to work well with others and navigate conflicts and differences of opinion. Being a team player is also about knowing when to step up as a leader and when to step back and take direction from someone else. To be a good team player you need to be versatile and nimble. You need to be a good listener and really hear what people are saying to you, process it, and execute on what they’re asking. Research is inherently a collaborative activity. It requires you to partner with your lab mates, your research mentor, other research groups and core facilities, among others. Business activities are collaborative too. Being able to outline your role and duties in a group project clearly, execute your tasks, report your progress and see how your piece fits into the bigger picture are all important teamwork skills you pick up while working in a research lab. 3. Business Acumen While it’s important to have a strong technical background, it’s equally as important to have an understanding of the business behind science beyond your day-to-day responsibilities. Scientists should have an understanding of financial and regulatory changes that influence the sector, the broader business’s goals and challenges, and trends that could affect the future of the industry and the future of the company. 4. Self-Motivation According to research, employers value people who are able to self-start and take the initiative to get work done. This skill is a huge benefit to a company. Directing people takes time away from getting work done. If I’m your boss, I don’t want to have to tell you what to do all the time. I want to be able to trust that you can get work done on your own.” 5. Adaptability. Science is a dynamic industry that’s evolving at breakneck speed. Scientists need to be flexible and constantly adapt to new information, tools, and protocols. Science will be completely different five years from now. There will be new ways of doing things, so you can never get comfortable. You have to constantly evolve and adapt, and be comfortable with change. 6. Management Skills Great scientists will exemplify a variety of management skills. Not only is it important to know how to manage, store, visualize, and analyze large scientific data sets, it’s also important to know how to manage variables like your time, your work, and a successful team. 7. Critical Thinking and Problem Solving The science industry relies on innovation and values employees who can solve problems quickly. The best scientists are able to address and prioritize problems, then work to find the right solution. Scientists know the end goal and they know the tools that are at their disposal, but what they don’t know is what it will take to get to that end. In that process, you’re going to try new things, troubleshoot, and try again. 8. Curiosity The scientific method is a system of asking questions, making speculations, observing and drawing conclusions; a method applied in some form or another to most scientific fields. To this end, scientists who are naturally inquisitive have an advantage, as they will, in a sense, apply the scientific method to what they see and observe with little prompting. Whether an astronomer behind a telescope or a biologist in the field, an inclination to ask questions about observations can only help in scientific pursuits, especially when questions lead to further questions and begin opening up new avenues of investigation. 9. Reasoning An analytical mind is a boon to a scientist of any discipline. Scientists often work with large amounts of collected data and, especially in fields such as physics and atmospheric science, they must also contend with complex mathematical equations on a regular basis. The ability to correlate data accurately, draw reasonable conclusions and avoid errors in calculations is vital for a scientist. Inaccuracies or findings based in unsound science can have far-reaching consequences, especially among those who may be called to predict likely outcomes based on their data and calculations, such as meteorologists and astronomers. 10. Interpersonal Skills Most scientists work as a team at least part of the time, making cooperation and interpersonal skills necessary for success. Some scientists, such as meteorologists and zoologists, additionally have frequent cause to interact with the public, making communication skills of even higher priority. Cooperation, effective communication, and the ability to work toward a common goal with others represent a suite of traits necessary for all scientists to share. Without it, large projects and correlating shared data across disciplines becomes much harder. 11. Creativity Creativity is not always considered among the traits a scientist needs, but its importance should not be underestimated. The purpose of scientists is to confront very large and complex problems, and it takes a creative mind to extrapolate solutions from gathered data, research and experimentation. This may take many forms: finding a way for humans to coexist peacefully with an endangered habitat; making an intuitive leap in understanding the significance of a new space anomaly; conceiv

Here is an overview, summary, and objective questions with answers based on the provided passage. Overview: An Introduction to Professional Skills for Scientists Imagine a brilliant young scientist, fresh from years of intense study, mastering complex equations and intricate lab techniques. They possess an impressive arsenal of hard skills. Yet, as they step into the professional world, they quickly discover that success isn't solely about their technical prowess. This passage, "Professional Skills for Scientists," delves into the crucial, often overlooked, qualities that truly define a thriving scientific career. It's a journey into understanding why soft skills – from effective communication to adaptable problem-solving – are not just beneficial, but essential for navigating the collaborative, dynamic landscape of modern science, whether in academia or industry. Summary: Good Note for UCC Examination Purposes This session highlights the professional skills (soft skills) essential for scientists, complementing technical expertise. For science to be sustainable, entities must recruit, train, and retain scientists who can adapt to evolving needs of the scientific workforce and society. Companies, especially in biotechnology, prioritize hiring well-rounded individuals with a balanced mix of technical expertise and professional skills. Employers increasingly value strong soft skills above all else, with 92 percent of talent professionals considering them as important or more important than hard skills (LinkedIn 2019 report). Notably, 89 percent of bad hires were found to have poor soft skills. Key soft skills that drive professional success in science include: Communication: Distilling complex topics for lay audiences and collaborating with peers. Teamwork: Working well with others, navigating conflicts, and knowing when to lead or follow. Business Acumen: Understanding financial, regulatory changes, and broader business goals. Self-Motivation: Taking initiative and getting work done independently. Adaptability: Being flexible and constantly adapting to new information, tools, and protocols in a dynamic industry. Management Skills: Managing data sets, time, work, and teams. Critical Thinking and Problem Solving: Addressing and prioritizing problems to find solutions for innovation. Curiosity: Applying the scientific method by asking questions and making observations. Reasoning: Correlating data accurately, drawing reasonable conclusions, and avoiding calculation errors. Interpersonal Skills: Cooperation within teams and effective public interaction. Creativity: Extrapolating solutions from data to confront large and complex problems. These skills are vital for scientists to thrive in future careers, from experimental design to working in diverse teams and leading organizations. Objective Questions and Answers from the Passage Question 1: What is the primary focus of Session 2 of Unit 6 in the module "Introduction to Scientific Investigation"? Answer: The primary focus is on the professional skills that all scientists need. Question 2: According to LinkedIn’s 2019 Global Talent Trends report, what percentage of talent professionals and hiring managers consider soft skills to be just as important or more important than hard skills? Answer: 92 percent. Question 3: Which of the following is NOT explicitly listed as one of the "Key Soft Skills" in section 2.2 of the passage? a) Adaptability b) Financial Planning c) Curiosity d) Interpersonal Skills Answer: b) Financial Planning. Question 4: Why is "Adaptability" considered a crucial professional skill for scientists, according to the passage? Answer: Because science is a dynamic industry that’s evolving at breakneck speed, requiring scientists to be flexible and constantly adapt to new information, tools, and protocols. Question 5: What is the core purpose of scientists that necessitates "Creativity," as described in the passage? Answer: The purpose of scientists is to confront very large and complex problems, and it takes a creative mind to extrapolate solutions from gathered data, research, and experimentation. That's 2 down. 3 left today — send the next one.