1

Biological Statistics Jobs in Tennessee (NOW HIRING)

Postdoctoral Fellow

Nashville, TN · On-site

$47K - $64K/yr

D. in Bioinformatics, Computational Biology, Computer Science, Data Science, Statistics, Genomics, Biomedical Informatics, or a related quantitative discipline. Education and Experience Preferred:

Showing results 21-40

Biological Statistics information

See Tennessee salary details

$28.1K

$38.2K

$50.8K

How much do biological statistics jobs pay per year?

As of Sep 2, 2026, the average yearly pay for biological statistics in Tennessee is $38,216.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,000.00 and $42,200.00 per year, depending on experience, location, and employer.

What is a biological statistician?

Biological statisticians are professionals who apply statistical methods to the analysis of data generated from biological, medical, and health-related research. They help design experiments, analyze biological data, and interpret the results to support scientific conclusions. Their work is essential in fields like genetics, epidemiology, public health, and clinical trials. Biological statisticians ensure that research findings are statistically valid and meaningful, often collaborating with scientists, researchers, and healthcare professionals.

How do biological statisticians typically collaborate with research scientists during a project?

Biological statisticians play a key role in interdisciplinary teams by working closely with research scientists to design experiments, determine appropriate statistical methods, and interpret data. They are often involved from the initial planning stages, helping to ensure that data collection protocols will yield valid and reliable results. Throughout the project, statisticians communicate findings clearly, translate complex statistical concepts, and provide guidance on data-driven decisions. Effective collaboration and communication with researchers are crucial for the success of scientific studies.

What are the key skills and qualifications needed to thrive as a biological statistician, and why are they important?

To thrive as a Biological Statistician, you need a strong background in statistics, mathematics, and biology, typically supported by a degree in biostatistics, statistics, or a related field. Familiarity with statistical software such as R, SAS, or Python, and experience handling large biological datasets are essential. Strong analytical thinking, attention to detail, and effective communication skills help translate complex data into actionable insights for interdisciplinary teams. These skills are crucial for designing sound experiments, ensuring accuracy in data analysis, and supporting evidence-based decision-making in biological research.

What is the difference between Biological Statistics vs Biostatistics?

AspectBiological StatisticsBiostatistics
Required CredentialsDegree in statistics, mathematics, or biological sciencesDegree in statistics, biostatistics, or related health sciences
Work EnvironmentResearch labs, academia, biotech companiesHealthcare, public health, medical research
Industry UsageUsed across biological research and data analysisPrimarily in health and medical fields
Common Search IntentUnderstanding statistical methods in biologyApplying statistics to health and medicine

Biological Statistics and Biostatistics share overlapping skills and credentials, but Biological Statistics focuses more broadly on biological data analysis across various biological sciences, while Biostatistics specializes in health-related research and medical data. Both roles require strong statistical backgrounds, but their application areas differ, with Biological Statistics spanning multiple biological fields and Biostatistics centered on health and medicine.

Do biological statisticians make a lot of money?

Biological statisticians typically earn competitive salaries that vary based on experience, education, and location. According to industry data, median annual wages often range from $70,000 to over $100,000, with higher earnings possible for those with advanced skills in statistical software and bioinformatics. Job prospects are strong in research institutions, pharmaceutical companies, and healthcare organizations.

Is a biological statistician a good career?

A biological statistician is a valuable role that involves applying statistical methods to biological research, often requiring knowledge of programming languages like R or SAS. The field offers strong job prospects, competitive salaries, and opportunities in healthcare, pharmaceuticals, and research institutions. Success in this career typically depends on advanced education such as a master's or Ph.D. and strong analytical skills.

What are popular job titles related to Biological Statistics jobs in Tennessee?

For Biological Statistics jobs in Tennessee, the most frequently searched job titles are:

What cities in Tennessee are hiring for Biological Statistics jobs?

Cities in Tennessee with the most Biological Statistics job openings:

Infographic showing various Biological Statistics job openings in Tennessee as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $38,216 per year, or $18.4 per hour.

Data Scientist (Statistician) - Direct Hire

US Department of the Treasury

Knoxville, TN

$125K/yr

Full-time

Posted 6 days ago


U.S. Department Of The Treasury rating

8.2

Company rating: 8.2 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

311th of 854 rated public administrative organizations


Job description

WHAT IS LARGE BUSINESS AND INTERNATIONALDIVISION?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position is to be filled in the following area(s):
    • LBI - ADCCI - Assistant Deputy Commissioner Compliance Integration.


REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILS

Qualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.
QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
BASIC REQUIREMENTS (IOR) ALL GRADES:
EDUCATION: A degree that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: Combination of education and experience includes courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.
AND
SPECIALIZED EXPERIENCE GS-14: In addition to meeting basic requirements, to be eligible for this position at this grade level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service.
Specialized experience for this position includes:
  • Experience identifying and assessing the validity and reliability of relevant data sources and retrieving structured and unstructured data in multiple types and formats, including Extensible Markup Language (XML) files and large datasets, for use in data science projects.
  • Experience cleaning, transforming, combining, and integrating structured and unstructured data from multiple sources, including identifying and resolving missing values, outliers, and duplicate records, to prepare data for analysis.
  • Experience applying data-mining process models, including the Cross-Industry Standard Process for Data Mining (CRISP-DM) or Sample, Explore, Modify, Model, Assess (SEMMA), to collect, prepare, analyze, and evaluate data during data science projects.
  • Experience applying statistical methods, probability, statistical inference, hypothesis testing, experimental design, forecasting, and sampling methods to analyze data, evaluate results, and support program or business decisions.
  • Experience developing and evaluating analytical and artificial intelligence models using machine learning, text analytics, natural language processing, large language models, graph theory, link analysis, optimization models, complex adaptive systems, or deep-learning neural networks.
  • Experience using programming languages, query languages, data-intelligence platforms, and data-storage technologies, including R, Python, Structured Query Language (SQL), Java, Databricks, Sybase, Oracle, or open-source databases, to retrieve, process, query, analyze, and integrate data during data science projects.
  • Experience planning, coordinating, monitoring, and evaluating data science projects; reviewing technical deliverables for validity and reliability; and communicating analytical findings, model results, limitations, conclusions, and recommendations to technical and nontechnical stakeholders through written products, presentations, graphs, tables, charts, or business-intelligence products.

AND
You must also meet the following requirements:
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education

For more information on qualifications please refer to OPM's Qualifications Standards.Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

What U.S. Department Of The Treasury employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom