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Statistics Jobs in Minnesota (NOW HIRING)

Consulting Statistician

Minneapolis, MN · On-site +1

$110.50K - $184K/yr

Working in conjunction with the Statistics and Medical Research and Development teams, develops and presents new and novel clinical trial designs and processes and statistical methodologies into ...

... statistics, and inductive/deductive reasoning A current, in progress, or completed Master's and/or PhD is preferred but not required Notes Payment is made via PayPal. We will never ask for any money ...

Leverage statistical expertise; Develop complex analysis strategies and execute them using efficient programming techniques (software: SAS, R). Share knowledge; Provide input to analysis plans ...

Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to support students from introductory statistics-based ML through advanced deep learning and deployment.

Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to support students from introductory statistics-based ML through advanced deep learning and deployment.

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Statistics information

See Minnesota salary details

$39.7K

$81.9K

$114.6K

How much do statistics jobs pay per year?

As of May 28, 2026, the average yearly pay for statistics in Minnesota is $81,934.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,800.00 and $113,600.00 per year, depending on experience, location, and employer.

What Are the Qualifications to Get a Job in Statistics?

The qualifications to get a job in statistics include a bachelor’s or master’s degree. Depending on your field of interest, relevant areas of study may include statistics, math, accounting, political science, information sciences, biostatistics, computer science, and economics. Common duties of a statistician in any field are to collect data through surveys or other methods, analyze data, make any relevant observation, and present reports. Strong computer literacy skills, knowledge of programming languages such as R and Python, and familiarity with statistical analysis software are essential in this career.

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

To thrive as a Statistician, you need a strong background in mathematics, statistical theory, and data analysis, typically supported by a degree in statistics or a related field. Proficiency with statistical software such as R, SAS, Python, or SPSS, along with familiarity with data visualization tools, is commonly required. Analytical thinking, attention to detail, and the ability to communicate complex findings clearly are crucial soft skills. These abilities ensure accurate data interpretation and effective communication of insights to support informed decision-making.

What are some common challenges statisticians face when communicating complex data findings to non-technical stakeholders?

Statisticians often encounter the challenge of translating intricate data analyses and statistical concepts into clear, actionable insights for audiences without technical backgrounds. It requires strong communication skills to avoid jargon and to present results in a visually engaging, accessible manner. Collaborating with colleagues in marketing, product, or management roles helps ensure that the findings inform decision-making effectively. Practicing storytelling with data and using relatable examples can greatly improve understanding and impact.

What are statistics jobs?

Statistics jobs involve collecting, analyzing, interpreting, and presenting quantitative data to help organizations make informed decisions. Professionals in this field use mathematical techniques and statistical software to identify trends, solve problems, and provide insights across various industries, such as healthcare, finance, government, and technology. Common statistics roles include statistician, data analyst, biostatistician, and research analyst. These positions often require strong analytical skills and a solid background in mathematics or statistics.
What are the most commonly searched types of Statistics jobs in Minnesota? The most popular types of Statistics jobs in Minnesota are:
What cities in Minnesota are hiring for Statistics jobs? Cities in Minnesota with the most Statistics job openings:
Infographic showing various Statistics job openings in Minnesota as of May 2026, with employment types broken down into 78% Full Time, 17% Part Time, 3% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $81,934 per year, or $39.4 per hour.

Consulting Statistician

Alimentiv

Minneapolis, MN • On-site, Remote

$110.50K - $184K/yr

Full-time

Posted 5 days ago


Job description

As a member of Alimentiv's Statistical Center of Excellence, the Consulting Statistician is responsible for the research, development, and application of innovative biostatistical methods to support clients in clinical study design and implementation. This role advises internal and external clients on statistical planning, study design, data analyses, reporting and interpretation in accordance with project, regulatory and Alimentiv quality standards. Maintains contemporaneous knowledge of statistical methods, industry standards, and regulatory requirements in assigned therapy areas. Provides statistical education and communicates abstract statistical concepts in a manner such that non-statistical colleagues and clients can make informed decisions. Demonstrates thought leadership though contributions to website content and scientific publications and by delivering presentations at conferences or via webinar. Contributes to business development opportunities by meeting with potential clients and contributing to study proposals and capabilities presentations
 
Positions available: 1 (remote based, Canada or USA)
Statistical Consulting Services
  • Communicates with clients and internal stakeholders to understand their statistical and clinical needs. Provides recommendations, guidance, and education on statistical concepts. Creates supplementary materials such as slides or reports to assist in communication and understanding of recommendations and concepts.  Provides critique of and recommendations for study design after investigating innovative methods, accepted industry standards, and regulatory requirements.
  • Prepares statistical analysis plans and oversee project data collection, management, and analysis, with input from the project team, incorporating details regarding the type of information collected, sample size, randomization procedures, table and listing shells, project statistical policies, protocols, and methodology to be used to appropriately translate scientific questions into statistical hypotheses.
  • Reviews, edits, and assists in preparing statistical sections of study synopses, protocols, reports, publications, or presentations in collaboration with clients and internal stakeholders ensuring statistical analyses adhere to trial, sponsor, organizational and regulatory requirements, and best practices.
  • Advises and consults with various departments internally ensuring that strategies include critical project success factors.
  • Oversees and supports project teams in relevant studies; analyzes implementation gaps and works with relevant stakeholders to close them.
Professional Development and Thought Leadership
  • Stays up to date on new innovations in statistical methods, especially in study design relating to chosen or assigned areas of focus.
  • Reviews statistical research papers, learning new statistical techniques and methodologies, and maintaining subject matter expertise.
  • Reviews literature related to clinical research, assigned therapy areas and in the areas of clients' studies to pair with statistical knowledge to provide guidance that is innovative and in line with the needs and standards.
  • Represents Alimentiv at relevant scientific meetings and congresses and attends trainings relating to statistics, clinical research, and medical areas of interest to continue knowledge growth and expertise.
Business Development Support
  • Working in conjunction with the Statistics and Medical Research and Development teams, develops and presents new and novel clinical trial designs and processes and statistical methodologies into publishable and promotable scientific operations and results.
  • Creates materials such as white papers, case studies, and statistical education materials for presentation and posting on Alimentiv websites to foster client relationship development and attract new clients.
  • Leads or supports strategy discussions and development of proposals for Statistical Center of Excellence projects.
  • Provides the proposal lead and functional leads with information necessary to prepare an accurate proposal that meets the strategy parameters. 
  • Involved in frequent client meetings/presentations and responsible for transferring knowledge to applicable project team members regarding the proposal/study strategy at the time of a bid defense.
Qualifications
  • Candidates should posses a Master's degree and a minimum of 4-6 years of related experience. Advanced degrees in Statistics/Biostats is considered an asset.
  • The ability to communicate abstract concepts
  • Highly refined oral and written communication skills
  • High level of presentation skills
$110,500 - $184,000 a year
Stay Alert to Recruitment Scams
We have been made aware of individuals posing as our recruiters and contacting candidates with fraudulent opportunities. Our hiring process always includes direct engagement with a recruiter or hiring manager, and we will never ask for sensitive personal information early in the process. Official communication will only come from our company email domains. If something doesn't feel right, we encourage you to verify before responding.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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