Explore jobs
Find specific jobs
Explore careers
Explore professions
Best companies
Explore companies
Job outlook for statisticians in the United States
Statistician job growth summary. After extensive research, interviews, and analysis, Zippia's data science team found that:
The projected statistician job growth rate is 31% from 2018-2028.
About 11,200 new jobs for statisticians are projected over the next decade.
Statistician salaries have increased 15% for statisticians in the last 5 years.
There are over 10,020 statisticians currently employed in the United States.
There are 17,782 active statistician job openings in the US.
The average statistician salary is $84,726.
Are statistician jobs in demand?
Statistician job and salary trends over time
Statistician jobs over time
Statistician job growth rate over time
| Year | # of jobs | % of population |
|---|---|---|
| 2021 | 10,020 | 0.00% |
| 2020 | 12,412 | 0.00% |
| 2019 | 12,486 | 0.00% |
| 2018 | 12,751 | 0.00% |
| 2017 | 11,671 | 0.00% |
Average statistician salary over time
Statistician salary by year
| Year | Avg. salary | Hourly rate | % Change |
|---|---|---|---|
| 2025 | $84,726 | $40.73 | +1.2% |
| 2024 | $83,707 | $40.24 | +3.9% |
| 2023 | $80,604 | $38.75 | +4.4% |
| 2022 | $77,188 | $37.11 | +4.4% |
| 2021 | $73,919 | $35.54 | +0.5% |
Statistician jobs by state
Most common states for statisticians
| Rank | State | Population | # of jobs | Employment/ 1000ppl |
|---|---|---|---|---|
| 1 | District of Columbia | 693,972 | 301 | 43% |
| 2 | Delaware | 961,939 | 100 | 10% |
| 3 | Virginia | 8,470,020 | 784 | 9% |
| 4 | Massachusetts | 6,859,819 | 631 | 9% |
| 5 | Maryland | 6,052,177 | 483 | 8% |
| 6 | Washington | 7,405,743 | 522 | 7% |
| 7 | Colorado | 5,607,154 | 342 | 6% |
| 8 | Oregon | 4,142,776 | 264 | 6% |
| 9 | Utah | 3,101,833 | 180 | 6% |
| 10 | Rhode Island | 1,059,639 | 62 | 6% |
| 11 | Vermont | 623,657 | 38 | 6% |
| 12 | California | 39,536,653 | 1,875 | 5% |
| 13 | Illinois | 12,802,023 | 688 | 5% |
| 14 | North Carolina | 10,273,419 | 502 | 5% |
| 15 | New Jersey | 9,005,644 | 487 | 5% |
| 16 | Minnesota | 5,576,606 | 287 | 5% |
| 17 | Connecticut | 3,588,184 | 191 | 5% |
| 18 | Nebraska | 1,920,076 | 88 | 5% |
| 19 | New Hampshire | 1,342,795 | 70 | 5% |
| 20 | Alaska | 739,795 | 40 | 5% |
Most common cities for statisticians
| Rank | City | # of jobs | Employment/ 1000ppl | Avg. salary |
|---|---|---|---|---|
| 1 | Suitland | 3 | 12% | $96,711 |
| 2 | Rockville | 5 | 7% | $96,719 |
| 3 | Silver Spring | 2 | 3% | $96,757 |
| 4 | Annapolis | 1 | 3% | $97,084 |
| 5 | Lansing | 2 | 2% | $65,938 |
| 6 | New Haven | 2 | 2% | $84,788 |
| 7 | Bethesda | 1 | 2% | $96,673 |
| 8 | Atlanta | 3 | 1% | $83,197 |
| 9 | Cambridge | 1 | 1% | $95,958 |
| 10 | Los Angeles | 6 | 0% | $103,640 |
| 11 | Chicago | 4 | 0% | $84,796 |
| 12 | Detroit | 3 | 0% | $66,808 |
| 13 | Indianapolis | 3 | 0% | $83,590 |
| 14 | Baltimore | 2 | 0% | $97,206 |
| 15 | Boston | 2 | 0% | $95,991 |
| 16 | Washington | 2 | 0% | $95,393 |
| 17 | Arlington | 1 | 0% | $85,372 |
| 18 | Austin | 1 | 0% | $73,133 |
Statistician job outlook: Expert opinions
Our panel of statistician experts
San Francisco State University
University of North Carolina at Asheville
Bowling Green State University
Georgetown University
Saint Peter's University
Butler University
University of Northern Colorado
University of Florida
Southeastern Oklahoma State University
Villanova University
Lehigh University
Baylor University
Eastern Washington University
The University of West Florida
Temple University
American University
University of Texas at El Paso
Dominican College
What general advice would you give to a Statistician?
Warren Johnson: Statistics/data science and computer science are great professions to enter now. Mathematics is involved in these fields. It allows working with talented students and gaining new insights.
What Statistician skills would you recommend for someone trying to advance their career?
Warren Johnson: Some of us prove theorems on the frontiers of mathematics, but most of us really don't. A good mathematical training allows one to work on many different things in many contexts. Teaching is rewarding if you have good students.
What will help Statisticians increase their earning potential?
Warren Johnson: Many of the greatest ideas that men and women have had are mathematical ideas. The thrill of understanding something difficult and explaining it to talented young people is rewarding. Dislike the grading aspect of the job.
What general advice would you give to a Statistician?
Luella Fu: Statistics is an amazing profession to enter now because the amount of data being collected and stored is always increasing. This makes Statistics a high-demand skill not just now but also in the future. The data is also of a huge variety: sports, medical, environmental, and business being just a few kinds. This means that a Statistician can use Statistics as a tool to explore almost field they want. It’s an incredibly versatile profession. You can also get an industry after a Bachelors, Master’s or PhD, so there is also flexibility in how much training you choose to undergo.
What Statistician skills would you recommend for someone trying to advance their career?
Luella Fu: I think Statisticians enjoy the quantitative reasoning aspect of their jobs, whether it’s designing the data collection, visualizing data, or creating insights from it. It’s also a pretty stable job with good pay. What Statisticians probably don’t like is the amount of time they spend in front of a computer to do their data analyses. It can create eye strain. Also, data cleaning can be full of unexpected challenges that take much longer to solve than one expects.
What will help Statisticians increase their earning potential?
Luella Fu: It varies depending on if you’re an academic or an industry professional, but I think a common theme for all entry-level statisticians is that they’re going to be pulling data out of storage, finding ways to visualize it, and finding ways to summarize it. They’ll usually have very specific goals in mind, either to answer a research or business question, and so they’ll spend quite some time just thinking about what the data is answering and how to showcase the data in the way that best answers those important questions.
What general advice would you give to a Statistician?
Kedai Cheng Ph.D.: For academic jobs, as a professor, we start off our day with a coffee. Thanks to the luxury of academic jobs, I spend most of my day reading and studying, and doing research. Research is totally different from learning. Learning is comparatively easy because everything is written in the book. If I do not under, I can always go over it again and again. It is a matter of time investment. Unlike learning, we do not have a certain answer for research. It is possible that we spend 1 year reviewing all existing literature and do our own experiment, and it turns out nothing worked out. It is a very strongly self-motivated job. And we need to be able to enjoy the loneliness. To other people, it may seem like our jobs are boring and lonely. However, to me, it is different. I rarely get bored, because I want to know what is going on. We can always dig a little deeper on what we have.
What Statistician skills would you recommend for someone trying to advance their career?
Kedai Cheng Ph.D.: There is undoubtful that mathematics is the fundamental subject of all social and natural sciences. With a Mathematics or Statistics major, it should not be hard to find a job in finance, technology and many other fields. Even a minor in Mathematics or Statistics may support people finding a job. People know you have certain quantitative and analytical skills when they are needed. People know you have been through a lot of struggling and frustration, and you survived.
What will help Statisticians increase their earning potential?
Kedai Cheng Ph.D.: A stereotype perception of Mathematicians or Statisticians is that they are nerdy, and they are smart. Nerdiness may be true. Smart? Maybe not. I am an ordinary person. If I can do it, everybody can do it. It is all about mindset. Sit down, clean your mind, try to understand each formula. To understand a mathematical formula is like talking to ourselves. For example, I need 'a' and 'b' to be combined together, mathematically it is a+b. Numbers and formulas, it just means what it is supposed to tell us. No hidden implications. It is straightforward. It is just a feeling of uncomfortability makes us stop at the very beginning. Give yourself some more time, contemplate it, you will find out the beauty of it.
John Chen
Professor of StatisticsBowling Green State University
Biomathematics, Bioinformatics, And Computational Biology
What general advice would you give to a Statistician?
John Chen: It depends on different companies, biostatisticians work on multiple comparisons such as dose-response analysis in pharmaceutical companies; protocol analyses in government agencies such as NIH or FDA, etc.
What Statistician skills would you recommend for someone trying to advance their career?
John Chen: Because it is grounded on solid theoretical methods in statistics, such as hypothesis testing, estimation, and prediction.
What will help Statisticians increase their earning potential?
John Chen: People enjoy working as a biostatistician because it ties statistical knowledge and medical applications that directly benefit human beings, also because it is usually a relatively high paid profession. I am not aware of anyone who dislikes being a biostatistician.
Ao Yuan
ProfessorGeorgetown University
Biomathematics, Bioinformatics, And Computational Biology
What Statistician skills would you recommend for someone trying to advance their career?
Ao Yuan: New methods in theory and computation for innovative projects in big data, real world data, and machine learning will be important in the next 3-5 years and more.
What will help Statisticians increase their earning potential?
Ao Yuan: Before their thesis starts, I'll give the student(s) some papers in the field to read, to make them familiar with the topics and methods in the field. Then ask them to think about and discuss with me a possible proposal to work with.
What general advice would you give to a Statistician?
Bernd Schroeder: Learn as much abstract mathematics as you can and take classes in another field in which mathematics can be applied and that is interesting to you. Mathematics majors hold skilled positions in fields that may first seem surprising, such as medicine, accounting, or the gaming industry. The common denominator is that mathematical models can be applied in these and many other fields, and the key is to make the connection.
What Statistician skills would you recommend for someone trying to advance their career?
Bernd Schroeder: The foundation of mathematics is logical and computational precision. Mathematical results are eternal in that there is no update needed once a result has been shown to be true. Consider Pythagoras' Theorem. It's rather old, but its statement and truth are unchanged, as is its applicability. This logical and computational precision will be of primary importance for as long as human beings practice mathematics, science, as well as have interactions in general. For the future, we need to continually refine our ability to use fundamental skills in mathematics/logic/computations to validate and improve results obtained through complex computations: For example, the computations that underly AI cannot and should not be double checked step-by-step, because they are much too intricate. However, simple test cases can often reveal problems in the system as well as features.
What will help Statisticians increase their earning potential?
Bernd Schroeder: You want to be one who solves problems, not one who causes them. Ask for help when you need it, but also freely lend your help to others. You want to be one whose good front is backed by solid performance and to whom people look for help. The hardest part is to commit, but to not overcommit to the point where the quality of your work suffers.
What will help Statisticians increase their earning potential?
Nickolas Kintos PhD: Don't think that you have to limit yourself to specific areas. Mathematics is used in many different fields. Keep your options open.
Dr. Lee Farquhar
Associate ProfessorButler University
Radio, Television, And Digital Communication
What general advice would you give to a Statistician?
Dr. Lee Farquhar: Storytelling is still at the heart of the industry. Start with good reporting and writing. From there, broaden your technical skills so that your stories can connect with audiences in a variety of platforms. A certain fluidity is necessary for the modern and future reporter, crossing from one medium to another seamlessly. The reporter must be resolute in their reporting and nimble in their delivery to the audience.
What will help Statisticians increase their earning potential?
Dr. Lee Farquhar: Focus on the work itself and your engagement with the audience. Bring unique skills and a work ethic that set you apart and make you indispensable.
What Statistician skills would you recommend for someone trying to advance their career?
Dr. Lee Farquhar: Storytelling is still at the heart of the industry. Start with good reporting and writing. From there, broaden your technical skills so that your stories can connect with audiences in a variety of platforms. A certain fluidity is necessary for the modern and future reporter, crossing from one medium to another seamlessly. The reporter must be resolute in their reporting and nimble in their delivery to the audience.
Khalil Shafie
Dr.University of Northern Colorado
Mathematics And Statistics
What general advice would you give to a Statistician?
Khalil Shafie: In the next 3-5 years, skills in data science, machine learning, and proficiency in statistical programming languages like Python or R are likely to become very important in the field of Statistics. Keeping up with technological advancements like AI, prompt engineering and interdisciplinary collaboration will also be beneficial.
What Statistician skills would you recommend for someone trying to advance their career?
Khalil Shafie: To maximize salary potential, consider gaining expertise in specialized areas within Statistics, and creating a strong portfolio of practical projects. Networking, and negotiating effectively during job offers, and staying updated on can also help to salary growth.
What will help Statisticians increase their earning potential?
Khalil Shafie: For a graduate beginning their career in Statistics, I'd advise focusing on building a strong foundation in both theoretical and practical aspects of statistics and seeking opportunities for hands-on experiences
Rhonda Bacher PhD
Assistant ProfessorUniversity of Florida
Biomathematics, Bioinformatics, And Computational Biology
What general advice would you give to a Statistician?
Rhonda Bacher PhD: When starting your career as a Biostatistician, there are a several ways to maximize your salary potential. Having a Master's level degree or higher boosts your base pay, though the time and cost of those degrees is a major consideration. There are some remote Master's degree programs designed with flexibility for working professionals, we offer one in Biostatistics at the University of Florida that is equivalent to our campus program.
Additional computational skills and data analysis experience should not be overlooked as ways to increase your value to potential employers. Highlight your interdisciplinary collaborative projects or work experience to demonstrate your communication and interpersonal skills, which are both highly valued professionally for biostatisticians.
What Statistician skills would you recommend for someone trying to advance their career?
Rhonda Bacher PhD: In terms of biostatistical skills, techniques for analyzing longitudinal biomedical data are increasingly relevant. Artificial intelligence models are likely to be helpful for programming across languages and tools (e.g. R, Python, TensorFlow), and the next generation of biostatisticians will be in a great position to leverage AI tools to their full potential. On the other side of that, understanding and contributing to AI tool development is an area that biostatisticians can play important roles, especially in the fields of bioinformatics and genomics.
What will help Statisticians increase their earning potential?
Rhonda Bacher PhD: Often biostatisticians are in roles where they work more independently and, especially when starting out, not having colleagues nearby to consult with on statistical matters can be challenging. Getting involved or staying connected through professional associations like the American Statistical Association through its professional sections or state chapters is a great way to maintain and even grow your network of colleagues.
Also, biostatistics is an evolving and expanding field, so foundational skills are essential, but be flexible to learning and adapting to new technologies or methods. The real value of a biostatistician's skills is critical thinking and being able to identify, implement, and interpret appropriate analytical solutions.
Dr. Brett Elliott
Director of General Education/ProfessorSoutheastern Oklahoma State University
Mathematics Department
What skills stand out on Statistician resumes?
Dr. Brett Elliott: I think what would stand out on a statistician's resume is communication skills, in particular, being able to explain the results of some statistical procedure to others that may not have as much (or any) statistical knowledge.
What soft skills should all Statisticians possess?
Dr. Brett Elliott: Some of the skills needed are computer skills and knowledge of a lot of different areas (since you never know what area you will be working in as a statistician).
What hard/technical skills are most important for Statisticians?
Dr. Brett Elliott: I would say the technical skills every statistician needs is knowing, in a given situation, which statistical procedure is called for, what the assumptions of that procedure are, how to produce the output of that procedure, and how to correctly interpret the output.
What skills will help Statisticians earn the most?
Dr. Brett Elliott: I'm not sure they are "skills," but being willing to relocate is one of the things that will lead to higher salaries, and another is a willingness to be a life-long learner. The more areas you are proficient in (both statistical and otherwise) will lead to more opportunities.
Paul Bernhardt
Associate Professor of Statistics, Director of the Applied Statistics Graduate ProgramVillanova University
Department of Mathematics and Statistics
What skills stand out on Statistician resumes?
Paul Bernhardt: A famous statistician, John Tukey, once said that "the best thing about being a statistician is that you get to play in everyone's backyard." This quote summarizes life as a practicing statistician: you help scientists, businesses, or the government better understand their study subjects, their market, or their interests by carefully analyzing their data and making appropriate inferences. Thus, for statisticians, versatility is key. This can be demonstrated through work or internship experiences, examples of projects completed, a variety of classes taken in school, and strong programming abilities. The better that a statistician is able to portray on a resume that they know how to handle data and work with individuals who need data advice or analysis, the better their resume will look.
What soft skills should all Statisticians possess?
Paul Bernhardt: Statisticians generally have to work with a variety of people from a variety of fields. Thus statisticians have to be eager to learn and ask questions. It is common for a client or a scientist consulting with a statistician for the first time to think that they know what they want, but it is the job of the statistician to ask questions to make sure not only that they understand the data and the data-related issues, but that the analyses goals are feasible. In most statistics jobs, working with others, often as a team, is essential. This requires solid communication skills, both in conveying thoughts on the best procedure as well as in explaining technical results to individuals not familiar with statistical jargon.
What hard/technical skills are most important for Statisticians?
Paul Bernhardt: Statisticians must have a range of methodological knowledge, and which skills are most important will vary heavily from job to job. In some jobs, having experience working with biological data will be most important, and thus particular classwork and methodological skills are most significant. In other cases, statisticians are asked to play a role in designing studies, monitoring data collection, and insuring quality control. Having data analysis skills is very different from knowing experimental design or best survey practices. Most statistics jobs will require expertise in at least one programming language. Pharmaceutical and biostatistics jobs often require knowledge of SAS, whereas finance, business, and other data analysis/science jobs are more likely to require fluency in Python or R. Statisticians who know multiple languages along with database management using SQL are often well-primed for jobs in programming or data science.
What skills will help Statisticians earn the most?
Paul Bernhardt: Experience and willingness to grow and learn more. Because statistics is needed by so many different fields and involves so many different methods, procedures, and skills, time is needed to build up the knowledge that helps an individual acquire a top-earning job as a manager or other team leader. This can often be done within a large company, such as in pharmaceuticals, but it can also be done by moving to new jobs. In many cases, only a few years of experience are needed to move to higher-level positions. For individuals with a Master's degree or Ph.D., earning more often happens much sooner.
Bottom line: If a statistician has the experience, strong communication skills, and is good with a variety of software programs and with database management, they will likely be able to earn a good living with relatively reasonable working hours. For this reason, "statistician"/"data scientist" consistently ranks as one of the top jobs among a variety of rankings. For example, the last six years running, it has been listed in the top three jobs to have by Glassdoor.com
What skills stand out on Statistician resumes?
Wei-Min Huang: Foundational training in statistics, data management and data analytic skills, computational skills.
What soft skills should all Statisticians possess?
Wei-Min Huang: Problem-Solving Skills, Creativity, Communication skills, Ability to communicate findings to non-statisticians.
What hard/technical skills are most important for Statisticians?
Wei-Min Huang: Strong mathematical and logical insight, Analytical and formulation skills, Wide-ranging computer skills, Knowing the difference between model-based and data-driven approaches.
What skills will help Statisticians earn the most?
Wei-Min Huang: A combination of Technical, Communication, and Leadership skills.
Michael Gallaugher Ph.D.
Assistant Professor, Elected Director of The Classification SocietyBaylor University
Department of Statistical Science
What skills stand out on Statistician resumes?
Michael Gallaugher Ph.D.: Like with the hard/technical skills, I think coding ability stands out most on a statistician's resume. As data today is getting more complex, computational experience is needed regardless of whether or not the applicant is going into academia or industry. In addition, past interdisciplinary work would stand out as well.
What soft skills should all Statisticians possess?
Michael Gallaugher Ph.D.: From the beginning, statistics have been very interdisciplinary and have become even more so in recent years. With that comes working with people with various backgrounds, including those who have only a very basic understanding of mathematics and statistics. Therefore, a statistician needs to reduce the mathematical and computational jargon to simple language.
What hard/technical skills are most important for Statisticians?
Michael Gallaugher Ph.D.: With the types of data being analyzed today, computational and coding skills are key. Anyone entering the statistics field, regardless of going into academia or industry, should be comfortable coding in at least one statistical computing language such as R, python, or more recently, Julia. In addition, and this is probably obvious, strong mathematical skills are also very important.
What's a good job out of college for Statisticians?
Jillene Seiver Ph.D.: Anything that pays the bills is a good job! But for psychology majors, jobs that allow them to use their knowledge of human behavior and mental processes are ideal. Managerial positions, HR positions, and sales positions are often a good match. For those students who focused on the scientific/statistical side of psychology, jobs in market research, statistics, test administration, and evaluation are good.
Dr. Achraf Cohen
Assistant ProfessorThe University of West Florida
Department of Mathematics and Statistics
What's a good job out of college for Statisticians?
Dr. Achraf Cohen: One of the best jobs in the U.S. out of college is being a www.zippia.com. One of the exciting aspects of being a statistician is that they get to practice science with data in a multidisciplinary environment, from deciding what data are needed to reporting results. As John Tukey said, "The best thing of being a statistician is that you get to play in everyone's backyard." That means statistics applies to many domains, like education, marketing, environment, health care, sport, and manufacturing. Thus, candidates will have a broad range of fields to choose from and make a career in it, still, the beauty is that they can also succeed in more than one field. Lastly, Statisticians are among the good-paying jobs out of college.
Will there be an enduring impact of the coronavirus pandemic on Statisticians?
Dr. Pallavi Chitturi Ph.D.: The demand for statisticians is increasing rapidly, driven by a proliferation of computing technology, software, and statistical tools. Capturing and interpreting the large amount of data generated by the coronavirus pandemic will keep statisticians occupied for decades. A recent Best Jobs list compiled by CareerCast ranks Data Scientist as No. 1 and Statistician as No. 2. in the list of best jobs with high demand. We expect that students graduating with a statistics major will continue to have fantastic job prospects.
What type of skills will young Statisticians need?
Dr. Pallavi Chitturi Ph.D.: In addition to a strong foundation in statistical methodology and applied statistics, graduates should also gain exposure to programming and modern languages such as R and SAS. Effective written and oral communication skills are also essential to success in the workforce.
What experience really stands out on Statistician resumes?
Dr. Pallavi Chitturi Ph.D.: Experiences outside the classroom, such as research projects, case competitions, and leadership experience really stand out on resumes. I urge students to participate in case competitions and data challenges and take a leadership role in student professional organizations. In the Statistical Science & Data Analytics (SSDA) major at the Fox School, students apply theoretical knowledge to a real project involving industry data in their Capstone course. Students engage in the entire process of solving a real-world data science project: from clarifying objectives, collecting and processing data, to applying suitable and appropriate analytic methods to the problem.
Will there be an enduring impact of the coronavirus pandemic on Statisticians?
Mary Gray Ph.D.: Graduates can expect more short-term positions than in previous years
What certifications/licenses/courses can have the biggest impact for Statisticians?
Mary Gray Ph.D.: Data science is a key term, but it can mean so many things. Depending on the employer particular courses will be valuable - lots of statistics, computer science are always good. Engineering, finance for some fields. Spanish, Chinese, French, German, Arabic can be a plus.
What soft skills should all Statisticians possess?
Mary Gray Ph.D.: Experience working on independent projects or in small groups where cooperation and collaboration are important, especially if there is a recognizable work product.
Dr. Amy Wagler Ph.D.
Associate Chair and Associate ProfessorUniversity of Texas at El Paso
Departament of Mathematical Sciences
Will there be an enduring impact of the coronavirus pandemic on Statisticians?
Dr. Amy Wagler Ph.D.: There will be an impact without a doubt. Back in March, we had to quickly change course for mentoring and teaching our students in statistics and data science. Valuable learning experiences were lost and one-on-one interaction with students was lacking. By the fall, we had more time to plan but still had all instruction online. We are trying to recreate the impactful teaching practices in an online setting, and we are getting better at it now. However, the learning curve is steep.
What type of skills will young Statisticians need?
Dr. Amy Wagler Ph.D.: They clearly need to be experts in statistical modeling, statistical programming, and communicating statistical results to broad audiences. However, we also train our students to develop interdisciplinary and collaborative research skills, as well as presentation and oral communication skills. These are also very important. A good applied statistician/data scientist should possess all of these skills and work on nurturing them on a regular basis.
What experience really stands out on Statistician resumes?
Dr. Amy Wagler Ph.D.: Working on applied interdisciplinary projects is a skill that demonstrates mastery of statistical methods and knowledge, but also demonstrates experience working with professionals with domain expertise.
Dr. AnnMarie DelliPizzi Ph.D.
Associate Professor of Biology, Coordinator of the Health Sciences Program, Honors Program DirectorDominican College
Math and Science Department
What are the biggest trends we'll see in the Statistician job market given the pandemic?
Dr. AnnMarie DelliPizzi Ph.D.: I anticipate more opportunities for students to seek employment in pharmaceutical and biotechnology companies. The development of several highly effective COVID vaccines in less than a year has drawn attention to the extremely important role that research scientists have in ending this pandemic. Many entry-level positions in these industries require only a bachelor's degree.
I also anticipate a need for clinical laboratory technicians, whose job it is to prepare and process tissues, body fluids and other substances. Prior to the pandemic, the job market for clinical laboratory technicians was anticipated to grow due to the aging population of baby boomers. With well over a million COVID tests being performed in the United States daily, there needs to be qualified technicians to process all of those samples.
What skills stand out on Statistician resumes?
Dr. AnnMarie DelliPizzi Ph.D.: Certainly the more hands-on skills a student has in the lab, the better the chance of securing a laboratory position. If the opportunity is available, I encourage all students to participate in a research project. Research supplements skills and techniques developed through lab-based coursework. In addition, research trains students to design innovative projects, develop analytical skills, think critically and troubleshoot problems. Consistent with many other jobs, employers look for individuals who are motivated, can demonstrate teamwork, and have strong interpersonal skills, including verbal and written communication.
Are there any particularly good places in the United States for Statisticians to find work opportunities?
Dr. AnnMarie DelliPizzi Ph.D.: Students interested in pursuing careers in the pharmaceutical or biotechnology industries should focus on large metropolitan areas, such as Boston, New York/New Jersey, Baltimore/DC, San Francisco Bay area, Raleigh/Durham, and Chicago. Jobs for clinical lab technologists can be found throughout the country, but may be more readily available in areas with large hospitals or medical centers.