research statistician

US Department of Veterans Affairs

Research Statistician

Genius Sports

<div>
 
 
 JOIN OUR TEAM AT GENIUS SPORTS!
 
 
 
 
 
 
 
 WHO ARE WE?
 
 
 
 
 
 
 Genius Sports is the official data, technology, and commercial partner driving the connection between sports, betting, and media on a global scale. Our mission is to create a more sustainable sports data network powered by rich, official live data. To achieve this, we're seeking enthusiastic Statisticians to join our team and collect match data while attending live sporting events.
 
 
 
 
 
 
 ARE YOU PASSIONATE ABOUT FOOTBALL?
 
 
 
 
 
 
 If you love football and want to be part of the action while getting paid, this is your opportunity! We are looking for individuals in the
 
 Doha, Qatar
 
 area to collect official live data from football events.
 
 
 
 
 
 As a Statistician, you will use our user-friendly smartphone-enabled software to report live events, including every shot, goal, tackle, and save. Don&rsquo;t worry if you lack previous reporting experience - we provide comprehensive e-learning courses and practical training to ensure you&rsquo;re fully prepared to cover live games. This is the perfect chance for sports enthusiasts to earn extra income while doing something they love.
 
 
 
 
 
 
 WHAT WE OFFER:
 
 
 <ul>
 <li>
 Guaranteed base pay of &euro;50 per game
 </li>
 <li>
 A performance-based reward system
 </li>
 <li>
 Coverage of travel expenses
 </li>
 </ul>
 
 If you&rsquo;re eager to immerse yourself in the world of sports and want to be part of our global network of statisticians, we want to hear from you!
 
 
 
 
 
 
 JOB REQUIREMENTS:
 
 
 <ul>
 <li>
 Basic level in English
 </li>
 <li>
 Regular availability for a few hours on weekends and weekday evenings
 </li>
 <li>
 Familiarity with using a smartphone
 </li>
 <li>
 Willingness to travel
 </li>
 <li>
 A strong knowledge of football
 </li>
 <li>
 Reliability, commitment, organization, and integrity
 </li>
 <li>
 Exceptional attention to detail
 </li>
 </ul>
 
 
 
 
 
 GET TO KNOW US:
 
 
 
 For more information about our mission and values, visit:
 
 Genius Sports
 
 
 
 
 
 
 
 ARE YOU READY TO JOIN THE GENIUS SPORTS TEAM?
 
 
 
 If you&rsquo;re excited about this opportunity, we&rsquo;d love to hear from you! Apply now and become a vital part of our team!
 
</div>

Sports Statistician (Data Collection)

Moffitt Cancer Center

<div>Whole Person Benefit Packages | Relocation Assistance |Research Faculty Incentive Plans 

Join our Department of Biostatistics and Bioinformatics, where you will collaborate with leading faculty in cancer prevention and treatment research, along with department and shared resource professionals. Our team of faculty and staff works across clinical, translational, and population studies by leveraging cutting-edge tools in applied statistics, clinical trials design, genomics, proteomics, metabolomics, spatial biology, biomarker discovery, and precision medicine. 

As the largest academic department at Moffitt, we offer a dynamic, collaborative environment alongside experts in the Departments of Machine Learning, Integrated Mathematical Oncology, and Bioengineering in the Division of Physical and Quantitative Sciences. With strong institutional investments in high-performance computing, the Moffitt Cancer Analytics Platform (MCAP), and Moffitt&rsquo;s exceptional Total Cancer Care Protocol, you will have the resources and support to drive innovative, data-driven science that truly makes a difference. 

All faculty are members of the Biostatistics and Bioinformatics Shared Resource, which is funded by Moffitt&rsquo;s Comprehensive Cancer Center Grant. There are 20 staff members who work in concert with our faculty to support statistical analysis of collaborative research, as well as support methodological research and tool development. 

The Ideal Candidate, in one of two areas:
<ul><li>Area 1: The candidate has expertise in behavioral research and can contribute to the many current cancer prevention and post-treatment quality of life studies, as evidenced by a history of peer-reviewed publications and involvement in grant supported research projects. Ongoing research includes interventions focusing on smoking cessation, improving participation in cancer screening and cancer-related vaccination, reducing health disparities, improving post-treatment quality of life, and reducing caregiver stress.</li>
<li>Area 2: The candidate has expertise in therapeutic clinical trials and can contribute to the large number of current Phase I and II clinical trials. Additionally, the candidate will have strong expertise in target trial emulation/causal inference for observational studies, especially for large electronic medical record databases.</li></ul> 

Responsibilities:
<ul><li>Collaborate with primary investigators by providing expert support on research design, data collection and processing, statistical analysis, and communication of results.
</li><li>Lead publications and the development of tools and methods that advance the research of primary investigators.</li>
<li>Communicate clearly and openly.</li>
<li>Build relationships to promote a collaborative environment.</li></ul> 
Credentials and Qualifications:
Successful candidates must have a Ph.D. in Biostatistics or another field with significant training in methods and statistics applicable to cancer research (e.g., clinical trials, behavior intervention randomized controlled trials) along with relevant postdoctoral research experience. 

An academic rank beyond Assistant Member will be commensurate with experience and qualifications. The position is tenure-earning. Salary and benefits are highly competitive. 

Interested applicants should &ldquo;Apply Now&rdquo; and attach a single PDF file that includes a cover letter summarizing their research training and accomplishments, a personal statement of scientific interests and goals, a current CV with recent publications, and contact information for three references. If you have questions about the opportunity, please direct them to Dr. Steve Sutton, Search Committee Chair, at Steve.Sutton@moffitt.org. Review of applications will begin immediately and continue until the position is filled. 

Tampa is a thriving metropolitan city that provides its residents a high quality of life. The Tampa Bay area (https://www.visittampabay.com/) has become a hub for ground-breaking research, welcoming individuals from around the globe. This diverse city is engulfed with rich culture, year-round activities for all, beautiful beaches, amazing cuisine and so much more. 
 
Location: H. Lee Moffitt Cancer Center &amp; Research Institute &middot; Biostat/Bioinform Fac 
Schedule: Full Time, Day Shift, Monday - Friday</div>

Open Rank Tenure-earning Faculty - Biostatistics

Prayatna

We are seeking a skilled and detail-oriented Part-Time Biostatistician to support research and data analysis projects on a flexible, part-time basis. The ideal candidate will apply statistical methods to analyze health, clinical, or biological data and communicate findings clearly to technical and non-technical stakeholders.Key Responsibilities:Design and conduct statistical analyses for research, clinical, or observational studiesAnalyze large and complex datasets using appropriate biostatistical methodsDevelop and validate statistical modelsInterpret results and prepare clear reports, tables, and visualizationsCollaborate with researchers, clinicians, or project teams to support study design and analysis plansEnsure data integrity and compliance with relevant regulations and standardsProvide statistical guidance throughout the project lifecycleQualifications:Master&rsquo;s or PhD in Biostatistics, Statistics, Epidemiology, or a related fieldExperience with statistical softwareStrong understanding of statistical methodologies used in health or life sciencesAbility to explain complex statistical concepts in a clear and concise mannerExcellent analytical, organizational, and communication skillsAbility to work independently and manage multiple prioritiesJob Type: Part-timePay: ₹25,000.00 - ₹30,000.00 per monthWork Location: In person

Biostatistician

GAP Solutions, Inc.

<div>Position Objective: Provide expert statistical support for the Centers for Disease Control and Prevention's (CDC) Coronavirus and Other Respiratory Viruses Division&rsquo;s (CORVD) research and surveillance, including study design, advanced modeling (including Bayesian methods), and publication-quality interpretation of results.
Duties and Responsibilities:
<ul><li>Provide expert statistical support on complex epidemiologic/medical record/lab datasets.</li><li>
Support quantitative method development, including Bayesian approaches.</li><li>
Develop and diagnose statistical/mathematical models; interpret and present results.</li><li>
Contribute to publications and presentations; collaborate across CORVD/CDC teams.</li><li>
Introduce/extend innovative statistical approaches to address public health problems.</li></ul>
Basic Qualifications:<ul><li>
Demonstrated experience performing advanced statistical analyses and model development</li><li>
Ability to communicate statistical results clearly to non-statistical stakeholders</li><li>
Strong scientific writing/review capability for manuscripts/presentations</li><li>
Ability to obtain/maintain Public Trust suitability and comply with CDC policies</li></ul>
Preferred Qualifications:<ul><li>
Experience with Bayesian methods and complex study design</li><li>
Experience collaborating with multi-disciplinary public health research teams</li><li>
Familiarity with CDC-relevant statistical tooling/workflows (e.g., R/SAS environments)</li></ul>
<ul><li>This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required by this position.
</li></ul>To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
GAP Solutions provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job, email us at recruiting@gapsi.com. You will need to reference the requisition number of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a requisition number will not be returned.
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law.</div>

Statistician

University of Minnesota

<div>Required Qualifications:<ul><li>
Undergraduate degree in public health, public policy, economics, statistics, or related field plus five years relevant work experience; or master&rsquo;s degree public health, public policy, economics, statistics, or closely related field and three years of relevant work experience; or a combination of education and relevant work experience to equal at least nine years.</li><li>
Effective analytic skills with at least two years of demonstrated professional experience writing code to perform statistical analysis of large data sets using software such as Stata, SAS, or R.</li><li>
Demonstrated attention to detail and consistent documentation practices when writing statistical code.</li><li>
Willingness to learn and develop new programming and analytic skills and to work with a wide range of new data sources.</li><li>
Comfortable working both independently and collaboratively in a team environment.</li><li>
Demonstrate effective communication with written, verbal, and interpersonal skills.</li><li>
Ability to obtain Special Sworn Status (SSS) to work in a Census Research Data Center with restricted data.</li><li>
Commitment to fostering an inclusive, respectful workplace.</li></ul>
Preferred Qualifications:<ul><li>
Experience working with large federal survey datasets (e.g., ACS, CPS, BRFSS, NHIS, MEPS, etc.)</li><li>
Proficiency with data visualization tools such as Tableau, DataWrapper, Infogram, etc..</li><li>
Knowledge and interest in health policy, particularly issues related to Medicaid, health equity, health insurance coverage, health care cost, access, and utilization, and quality of care</li><li>
Experience working with health care claims data</li><li>
Experience working with a state or federal government or a health care program is highly desirable</li></ul>
The School of Public Health Division of Health Policy and Management seeks a Researcher 4 (8354ST)/Data Research Fellow to join the State Health Access Data Assistance Center (SHADAC) team of dedicated and highly regarded faculty, research experts, and staff. This position will work as part of a team to conduct statistical analysis, translate findings into clear and compelling written products, and perform data management tasks for a variety of health policy research projects and client deliverables.
Work Arrangements: The University of Minnesota endorses a &ldquo;Work. With Flexibility.&rdquo; and we offer a flexible work environment that meets the needs of our students, faculty, staff, and partners we serve. Hybrid work is permitted, though workers are expected to work in person at least two days per week. The successful candidate is expected to have access to a reliable internet connection for duties undertaken remotely. Onsite location: University Office Plaza, 2221 University Ave. SE, Suite 345, Minneapolis, Twin Cities Campus - East-bank
Starting Salary is dependent upon the selected candidate&rsquo;s relevant qualifications, experience, and internal equity: $36.06 - $38.47 ($75,000-$80,000 annually (full-time))
Example projects include:<ul><li>
Produce descriptive statistics using a wide range of survey data sources to populate SHADAC&rsquo;s online data visualization tool: State Health Compare</li><li>
Conduct analysis using the National Health Interview Survey (NHIS) to examine differences in access to care and utilization in Medicaid by rurality</li><li>
Collaborate with SHADAC staff to develop new measures related to emerging health policy topics (e.g., coverage transitions, work requirements, etc.)</li><li>
Maintain, update and advance SHADAC&rsquo;s expertise and resources on relevant research topics, such as the SHADAC&rsquo;s Health Insurance Unit and the Medicaid undercount</li></ul>
Job Responsibilities:
SHADAC Data Research Fellows typically work on more than one project under the guidance and supervision of a project manager. Specific duties may include:
50% Coding, analysis and data monitoring and management<ul><li>
Write and maintain statistical software (e.g., Stata, SAS, R) code to automate data cleaning, transformation, and analysis.</li><li>
Perform statistical analyses such as descriptive statistics and regression modeling.</li><li>
Develop and implement validation processes to ensure data integrity.</li><li>
Produce and maintain complete documentation to ensure reproducibility of results</li><li>
Access and prepare datasets for analysis (e.g., developing applications, setting up secure storage, merging data sets, etc.)</li></ul>
40% Translate findings into blogs and other written products and provide technical assistance<ul><li>
Examine and identify data patterns and trends to inform publications and client deliverables</li><li>
Draft narrative text for various forms of data related publications (e.g., briefs, blogs) and client deliverables</li><li>
Support technical assistance to state agencies, analysts, and policymakers (for example, by producing data analysis and summarizing results)</li><li>
Conceptualize and produce compelling, high quality data visualizations including tables, charts and other graphics (e.g., online data dashboards)</li><li>
Stay abreast of key methodological changes in data sources that are core to SHADAC&rsquo;s portfolio of work</li></ul>
10% Participation as member of the SHADAC team<ul><li>
Develop and maintain working relationships with other SHADAC staff</li><li>
Participate in SHADAC staff meetings and research meetings</li><li>
Attend events such as webinars and on-campus seminars</li></ul>
SHADAC is a multidisciplinary health policy research center located at the University of Minnesota School of Public Health with a focus on state health policy. SHADAC is nationally recognized for its survey research, its work on measuring and monitoring health insurance coverage, and its translation of research to inform state and national health policy. Our staff members represent a broad range of expertise, ranging from economics, statistics, and evaluation to sociology and journalism. We are passionate about the importance of using sound data to inform policy decisions, and we work collaboratively with our clients to achieve exceptional results. 
The University of Minnesota School of Public Health (SPH) is Minnesota's only school of public health, committed to improving the health and well-being of communities worldwide. Through innovative research, learning, and concrete action, we tackle today's biggest health challenges. SPH includes four academic divisions: Biostatistics &amp; Health Data Science, Environmental Health Sciences, Epidemiology &amp; Community Health, and Health Policy &amp; Management.
Ranked nationally by the U.S. News &amp; World Report as the #6 public school of public health, SPH is home to approximately 1,000 students, 130 faculty, and 400 staff across 25 internationally recognized centers. Our academic excellence is highlighted by our #3-ranked Master of Healthcare Administration (MHA) and #9-ranked Biostatistics programs.
Please note: At this time, the University&rsquo;s employment site is limited in how it collects applicant demographic information. Applicants are encouraged to provide their pronouns and/or preferred name within their attached application materials.
Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will be given the opportunity to complete an online application for the position and attach a cover letter and resume.
Additional documents may be attached after application by accessing your &quot;My Job Applications&quot; page and uploading documents in the &quot;My Cover Letters and Attachments&quot; section.
To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647.
The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds.
The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu
Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.
The University of Minnesota, Twin Cities (UMTC)
The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.
At the University of Minnesota, we are proud to be recognized by the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of America&rsquo;s Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022).</div>

Data Research Fellow (Rsch Pro 4-Stats Analysis)

Simbi Labs India

About the Role We&rsquo;re seeking an experienced and detail-oriented Senior Statistician to join our analytics and research team. In this role, you&rsquo;ll leverage your statistical expertise to design studies, analyze complex datasets, and provide actionable insights that guide strategic decisions. You&rsquo;ll work closely with cross-functional teams, mentor junior analysts, and contribute to data-driven innovation across the organization.Key Responsibilities<ul><li>Design and execute statistical analyses for experimental, observational, and survey data.</li><li>Develop and validate predictive and inferential models using advanced statistical techniques (regression, ANOVA, Bayesian methods, time-series, etc.).</li><li>Perform exploratory data analysis (EDA) to identify trends, patterns, and key drivers of outcomes.</li><li>Collaborate with data engineers and scientists to ensure data quality, accuracy, and consistency.</li><li>Provide statistical consultation to business, product, and research teams, translating technical results into clear, actionable insights.</li><li>Prepare technical reports, visualizations, and presentations for both technical and non-technical audiences.</li><li>Mentor junior statisticians and data analysts, promoting best practices in statistical modeling and data interpretation.</li></ul>Requirements<ul><li>Master&rsquo;s or Ph.D. in Statistics, Applied Mathematics, or a related field.</li><li>5&ndash;6 years of hands-on experience in applied statistics, data analysis, or quantitative research.</li><li>Strong command of statistical software and programming languages such as R, Python, SPSS, AMOS, MPLus, SAS, Mathematica, or Stata</li><li>Proficiency in SPSS, AMOS, MPlus, STATA, R, etc</li><li>Solid understanding of hypothesis testing, sampling methods, experimental design, regression modeling, and multivariate analysis.</li><li>Excellent problem-solving, analytical thinking, and communication skills.</li><li>Ability to work independently and manage multiple projects in a fast-paced environment.</li></ul>Job Type: Full-timePay: ₹20,000.00 - ₹40,000.00 per monthEducation:<ul><li>Master's (Required)</li></ul>Experience:<ul><li>Statistical analysis: 3 years (Required)</li></ul>Language:<ul><li>English, hindi (Required)</li></ul>Location:<ul><li>Delhi, Delhi (Required)</li></ul>Willingness to travel:<ul><li>75% (Required)</li></ul>Work Location: In person

Statistical Programmer

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