<h3>Job Description</h3>
Statistician Investigator
Contract till March 2026
Hybrid Schedule: Monday, Tuesday, Wednesday in the office, remote Thursday and Friday
 
JOB DESCRIPTION
Position Summary
The Client is looking for a data analyst/statistician at or above the master's degree level, to work in a collaborative team of investigators and perform statistical analyses to gain new discoveries to help trauma survivors. The primary focus of the position will be to assist with analyses of diverse longitudinal data collected as part of the ~$35 million dollar AURORA study. This study, funded by the National Institute of Mental Health and private and foundation partners, enrolled individuals presenting to a large network of emergency department in the immediate aftermath of trauma. Study participants were followed longitudinally for one year, beginning in the hours after trauma, using sophisticated adaptive sampling methods and state-of-the-art battery of self-report, neurocognitive, physiologic, digital phenotype, psychosocial, neuroimaging, and genomic markers. In addition to analyses of these data, the statistician will also analyze data from longitudinal data collected as part of many other past and current R01 studies going on in the institute, as well as the analysis of clinical trial data.
 
Required Qualifications, Competencies and Experience 
Strong organizational skills. Must be able to analyze diverse longitudinal data collected as part of research studies and have prior experience publishing peer-reviewed manuscripts and preparing other academic, grant, or stakeholder-facing materials.
 
Preferred Qualifications, Competencies, and Experience 
Ideal candidates would have experience with software and the ability to collaborate effectively in a multidisciplinary environment. Prior with advanced statistical methods (e.g., multilevel modeling, latent/class cluster analysis, regression-based methods) is preferred, as is familiarity with machine learning techniques. Candidates should also demonstrate proficiency with both basic and advanced statistical analyses in clinical or epidemiological research.
 
Minimum of a relevant Master's degree (or foreign degree equivalent) preferred. Ideal candidates will have a PhD in a social, applied, or related science discipline, demonstrated ability as a scientific writer, demonstrated ability to perform advanced statistical analyses and learn and perform statistical analyses new to them, expert knowledge of R and other software packages; and the ability to collaborate effectively on multidisciplinary teams. Master's degree with extensive experience will be considered.
 
Description of Work 
· Data analysis
· Develop scripts/code as necessary to streamline/optimize analyses
· Communication – writing/editing
· Writing and contributing to peer-reviewed publications
- Writing results reports and presenting findings in stakeholder meetings or research conferences
· Data Collection
· Assist with analyses of diverse longitudinal data collected as part of the AURORA study
· Administration
· Maintaining meta-data regarding databases and work performed
· Other
· Developing analysis plans in collaboration with members of the research team

Statistician

<h3>Job Description</h3>
Job DescriptionJob Title:&nbsp;Statistician Company: BLN24 About Us:&nbsp;We find strength in teamwork-a better you is a better us BLN24 is an award-winning Management Consulting Firm that&nbsp;supports the U.S. Federal Government in successfully achieving their mission and goals. Our service and solutions delivery start with understanding each client’s end-state, and then seamlessly integrating within each Agency’s organization to improve and enhance strategic and technical operations and deployments. Position Overview: We are seeking a highly skilled Statistician to support the National Flood Insurance Program (NFIP) in evaluating the potential causal relationships between NFIP policies, practices, and impacts on endangered species and their habitats. The Statistician will apply advanced quantitative methods to determine whether NFIP actions contribute to measurable ecological outcomes, supporting compliance with federal environmental requirements and informing evidence-based program decisions. Key Responsibilities:
<ul>
<li>Develop and execute robust statistical methodologies to assess potential causal relationships between NFIP activities (e.g., floodplain development, mitigation measures, mapping) and impacts on endangered species and their habitats.</li>
<li>Utilize methods such as regression modeling, propensity score matching, and other causal inference frameworks to evaluate program effects and ecological outcomes.</li>
<li>Employ statistical and machine learning techniques to process and interpret large datasets, identifying patterns and relationships relevant to NFIP’s environmental impact.</li>
<li>Provide expert guidance to internal teams and clients on best-fit statistical approaches for evaluating program effectiveness and compliance with federal environmental requirements.</li>
<li>Translate complex statistical findings into clear, actionable insights for non-technical audiences, including policymakers and program managers. Prepare written reports and visualizations to support decision-making.</li>
<li>Critically assess statistical models and outputs, offering recommendations for refinement or alternative approaches to improve analytical rigor and relevance.</li>
<li>Conduct analyses using tools such as R, Python, SAS, or equivalent platforms. Integrate GIS and spatial statistics where applicable to enhance ecological assessments.</li>
<li>Contribute to NFIP’s efforts to meet federal environmental standards by providing data-driven evidence of program impacts on endangered species and their habitats.</li>
</ul>
 Required Qualifications:
<ul>
<li>Ability to design and implement statistical studies to assess potential causation between NFIP activities (e.g., floodplain development, mitigation measures, mapping) and impacts on endangered species.</li>
<li>Ability to develop and apply causal inference techniques (e.g., regression modeling, etc.) to evaluate program effects.</li>
<li>Strong background in causal inference, experimental design, and advanced statistical modeling.</li>
<li>Knowledge of statistical analysis or machine learning techniques and how to apply them to large datasets</li>
<li>Particular emphasis on casual inference techniques and application of these techniques to analyze large datasets and identify potential relationships</li>
<li>Experience advising clients and internal teams on best-fit approaches for quantitative analysis</li>
<li>Ability to clearly convey complex data insights to non-technical stakeholders and provide writing samples</li>
<li>Ability to critically evaluate statistical approaches and outputs, and make recommendations based on those evaluations</li>
<li>Proficiency in R, Python, SAS, or other advanced statistical software.</li>
<li>Familiarity with GIS and spatial statistics a plus.</li>
<li>Level of Effort: 50% for 60 days beginning September 8, 2025 (approximately 20 hours per week)</li>
</ul>
 What BLN24 brings to the Game: BLN24 benefits are game changing.&nbsp;We like our team to play hard and that means they need to be taken care of — physically, financially, and emotionally. We make sure to keep them in the game by giving them access to generous medical, dental, and vision plans.
<ul>
<li>You can join one of the fastest growing companies headquartered in the Washington DC Metro Area.&nbsp; We give you the opportunity to work in different sectors, so you have the chance at variety while maintaining stability.</li>
<li>Flexibility at BLN24 allows each individual the opportunity to balance quality work and their personal lives.&nbsp;Depending on projects, we allow remote working opportunities so you can always be in the game no matter where you call home.</li>
</ul>
BLN24 is an Equal Opportunity Employer.&nbsp;We believe people are our strength and understand diverse talents are key to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs. &nbsp;
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IZcSPp5PdM

<h3>Job Description</h3>
Job Description
*US Citizenship Required
*Onsite at a NEFSC Facility
POSITION DESCRIPTION:
Think Tank is a woman-owned small business with more than 27 years of proven success delivering exceptional IT and marine fisheries services to the federal government. We are currently seeking an ideal candidate for the position of Statistician to support an upcoming proposal with the National Oceanic and Atmospheric Administration. Résumé of successful candidate(s) will be included with our proposal. 
The Statistician supports the development and application of statistical models to evaluate the abundance, distribution, and population dynamics of marine mammals, sea turtles, and other protected species. This role is essential in supporting assessments that guide federal conservation and management decisions.
RESPONSIBILITIES:
<ul>
<li>Apply statistical methodologies (e.g., generalized linear models, distance sampling, Bayesian approaches) to ecological and survey data.</li>
<li>Contribute to the development of models for abundance estimation, bycatch estimation, and ecological trend analysis.</li>
<li>Collaborate with biologists and analysts to support survey design, population assessments, and environmental data integration.</li>
<li>Assist in preparing technical reports, peer-reviewed manuscripts, and permit documentation.</li>
</ul>
REQUIREMENTS:
<ul>
<li>Bachelor's or Master's degree in statistics, quantitative ecology, or a related field.</li>
<li>Proficiency in R, Python, and/or SAS, with experience in modeling ecological data.</li>
<li>Familiarity with survey data, spatial analysis, and statistical inference methods.</li>
<li>Excellent problem-solving, documentation, and communication skills.</li>
<li>Experience contributing to scientific publications or technical reports </li>
</ul>

<h3>Job Description</h3>
Job Description
Engage in the development of mathematical theory or apply statistical theory and methods to collect, organize, interpret, and summarize numerical data to provide usable information. May specialize in fields, such as bio-statistics, agricultural statistics, business statistics, economic statistics, or other fields.
<ul>
<li>Adapt statistical methods in order to solve specific problems in many fields.</li>
<li>Analyze and interpret statistical data in order to identify significant differences in relationships among sources of information. </li>
<li>Apply sampling techniques or utilize complete enumeration bases in order to determine and define groups to be surveyed. </li>
<li>Design research projects that apply valid scientific techniques and utilize information obtained from baselines or historical data in order to structure uncompromising and efficient analyses. </li>
<li>Develop and test experimental designs, sampling techniques, and analytical methods. </li>
<li>Evaluate sources of information in order to determine any limitations in terms of reliability or usability. </li>
<li>Evaluate the statistical methods and procedures used to obtain data in order to ensure validity, applicability, efficiency, and accuracy. </li>
<li>Examine theories, such as those of probability and inference in order to discover mathematical bases for new or improved methods of obtaining and evaluating numerical data </li>
<li>Identify relationships and trends in data, as well as any factors that could affect the results of research. </li>
<li>Plan data collection methods for specific projects, and determine the types and sizes of sample groups to be used. </li>
<li>Process large amounts of data for statistical modeling and graphic analysis. Report results of statistical analyses, including information in the form of graphs, charts, and tables. </li>
<li>Develop an understanding of fields to which statistical methods are to be applied in order to determine whether methods and results are appropriate. </li>
<li>Prepare data for processing by organizing information, checking for any inaccuracies, and adjusting and weighting the raw data </li>
</ul>

Required: 
· Master’s degree in mathematics or related field, or equivalent experience 
· 3-5 years of experience in statistical analysis in a business setting 
Preferred: 
· Must have a Secret Clearance or be able to obtain one

<h3>Job Description</h3>
Job DescriptionCompany Description 
We are the company that cares – for our staff, for our clients, for our partners and for the quality of work we do.&nbsp;A dynamic, global company founded in 1995, we bring together more than 2,700 driven, dedicated and passionate individuals. We work on the frontline of medical science, changing lives, and bringing new medicines to those who need them.
Job Description 
You will contribute to statistical activities related to global clinical trials and work closely with international teams of statisticians, programmers and data managers, including the role of biostatistics project lead.
In this role, you will:
<ul>
<li>Act as a communication line for project teams, clients, vendors and internal team on statistical questions</li>
<li>Conduct statistical analysis for clinical trials including, interim analysis, final analysis, analysis for DSMBs/DMCs and PK analysis</li>
<li>Develop and review study protocols, statistical analysis plans, analysis dataset specifications according to CDISC ADaM standard and other project-specific documents</li>
<li>Review statistical deliverables such as tables, figures, listings and analysis datasets</li>
<li>Conduct departmental induction course and project-specific training for statisticians and SAS programmers</li>
<li>Prepare for and attend internal and external study audits pertinent to Statistics</li>
<li>Participate in preparation of internal/external audits follow up</li>
<li>Provide input to standard operating procedures and other Quality Systems Documents (QSDs) pertinent to activities of Biostatistics department</li>
<li>Liaise with DM on statistical questions related to data issues</li>
<li>Participate in bid defense and in kick-off meetings</li>
<li>Lead teams of SAS programmers and/or statisticians on the project level</li>
</ul>
Qualifications 
<ul>
<li>MSc in Statistics or equivalent</li>
<li>Expert knowledge and understanding of the statistical principles, concepts, methods, and standards used in clinical research</li>
<li>Expert knowledge and understanding of the SAS programming</li>
<li>Expert knowledge and understanding of CDISC ADaM standard</li>
<li>Expert knowledge and understanding of adaptive designs</li>
<li>Expert knowledge and understanding of sample size calculation</li>
<li>Expert knowledge and understanding of relevant regulations and guidelines (e.g. FDA, EMA, ICH)</li>
<li>Ability to apply advanced statistical techniques in support of clinical research studies and to analyze, interpret, and draw conclusions from complex statistical information</li>
<li>Ability to consult with clinical investigators, interpret research requirements, and determine statistical analysis strategies</li>
<li>Strong presentation and communication skills</li>
</ul>
 Additional Information 
Our mission is to be the best CRO in the world as measured by our employees, clients, sites, and vendors.&nbsp;Our recruitment process is easy and straightforward, and we’ll be there with you every step of the way.&nbsp;

Principal Statistician

<h3>Job Description</h3>
Job Description
Seeking a Senior Statistician to support cardiovascular device clinical trials. Must have:
<ul>
<li>
Bachelor’s degree in Statistics/Biostatistics with 4+ years’ experience OR advanced degree with 2+ years’ experience
</li>
<li>
Proficiency in SAS or R
</li>
<li>
Experience with clinical trial or registry data
</li>
</ul>
Responsibilities include validating analyses, contributing to study design, and supporting regulatory submissions.
Company DescriptionSelect Source International (SSI) is a distinguished staffing company with nearly 25 years of experience, renowned for delivering top-tier workforce solutions encompassing staffing, recruiting, and managed services. As a proud supplier, we bring a wealth of expertise and best-in-business differentiators to comprehensively support your diverse workforce needs. Based in Minneapolis, Minnesota, USA, SSI has established itself as a global leader, serving a broad clientele across industries with unwavering dedication and excellence. SSI is ISO 9001, 14001, and Soc2 Type2 certified, underscoring our commitment to quality and security. We have garnered numerous sustainability and supplier diversity awards, further validating our industry-leading capabilities 
<h3>Company Description</h3>
Select Source International (SSI) is a distinguished staffing company with nearly 25 years of experience, renowned for delivering top-tier workforce solutions encompassing staffing, recruiting, and managed services. As a proud supplier, we bring a wealth of expertise and best-in-business differentiators to comprehensively support your diverse workforce needs.\r\n\r\nBased in Minneapolis, Minnesota, USA, SSI has established itself as a global leader, serving a broad clientele across industries with unwavering dedication and excellence. SSI is ISO 9001, 14001, and Soc2 Type2 certified, underscoring our commitment to quality and security. We have garnered numerous sustainability and supplier diversity awards, further validating our industry-leading capabilities

Senior Statistician

<h3>Job Description</h3>
Job Description
Job title: Sr Statistician
Contract duration: 12 Months contract
Location: Mounds View, MN
Job description:
HM's Top Needs:
1. A degree in statistics or biostatistics
2.Coding experience with SAS or R
3.Familiarity with study or registry data (device data or pharmaceutical would be ideal)
In this exciting role as a Senior Statistician, you will have primary focus responsibility to support innovative cardiovascular device clinical trials and contribute to efforts in the field of advanced analytics and data solutions. The Senior Statistician will support Cardiac Rhythm Management (CRM), Cardiac Ablation Solutions (CAS), Cardiovascular Diagnostics &amp; Services (CDS) and Mechanical Circulatory Support (MCS).
Nice to Have (Preferred Qualifications):
· Master's degree (or above) in statistics/biostatistics or relevant fields
· 2+ years post graduate experience in medical research
· Understanding of statistics and machine learning methods, ability to continue self-learning of technical and non-technical skills
· Demonstrated proficiency in SAS, R or Python and experience with low level languages, including C/C++
· Prior experience in FDA and/or global regulatory submissions
A Day in the Life
Responsibilities may include the following and other duties may be assigned.
· Validates statistical analyses performed by other team statisticians (using R or SAS programming languages).
· Designs, plans and executes biostatistical components of plans for research and development projects that establish the conditions essential for determining safety, efficacy, and marketability of pharmaceutical and/or biological products.
· Uses sound statistical methodology to conduct studies relating to the life cycle of the product.
· In development-phase projects, prepares the statistical component of protocols which meet project objectives, health authority guidelines, and clinical trial methodology standards.
· Develops and/or applies statistical theories, methods, and software.
· Summarizes and interprets data into tabular and graphical formats amenable to principles of statistical inference and is responsible for the statistical component of reports describing studies, outcomes and methods used.

Sr Statistician

<h3>Job Description</h3>
Job Description
Sports stats expert needed to help on a new sports book — must be able to devise sophisticated predictive models&nbsp;
part time&nbsp;
$75-125/ hour plus points&nbsp;

Sports Statistician

<h3>Job Description</h3>
Job Description
Statistician Direct Hire Marietta, GA - 3 days onsite
We are search of a highly meticulous and engaged Statistician for a direct hire position in Marietta. The Statistician is a vital member of a department dedicated to supporting the health, well-being, and professional fulfillment of clinical staff—including physicians, practitioners, nurses, and other care providers. This department designs and implements initiatives to address clinician burnout, enhance resilience, and foster a positive organizational culture that supports safe, high-quality patient care.
As a Statistician, you will be responsible for tracking, analyzing, and reporting key performance indicators and outcomes that inform strategic priorities, highlight correlations between outcomes, and evaluate the effectiveness of well-being initiatives. This role collaborates with team members to develop methodologies for impact assessment, maintain comprehensive dashboards, and translate complex data into clear, actionable reports for leadership and stakeholders. You will also be involved in both quality improvement and research projects, applying advanced statistical methods to guide planning, make data-driven adjustments, and evaluate outcomes over time. This role requires close collaboration with clinical professionals, researchers, and internal team members to ensure initiatives are grounded in strong methodology and aligned with organizational goals to improve clinician well-being and, by extension, patient care.
Other responsibilities include:
<ul>
<ul>
<li>Utilize a range of statistical tools and software to analyze data from multiple sources, including surveys, electronic health records, and operational databases.</li>
<li>Apply advanced statistical methods to identify trends, patterns, and correlations and Interpret findings to assess the impact and effectiveness of well-being initiatives.</li>
<li>Conduct analyses on both small and large datasets to uncover insights about high-risk groups or emerging issues, supporting data-driven decision-making for program improvements.</li>
<li>Prepare and deliver regular, clear, and visually engaging reports and presentations for department leadership, executive stakeholders, and team members.</li>
<li>Facilitate discussions with team members to review data analyses, clarify implications, and determine appropriate next steps.</li>
<li>Collaborate on scholarly articles, engage with external researchers, and mentor fellows and residents in research methods, as needed.</li>
</ul>
</ul>
Job Qualifications:
Required Minimum Education:
<ul>
<li>Bachelor’s Degree in Quantitative Analysis, Statistics, Biostatistics, Sociology, Biology, or related field is required.</li>
<li>Master’s Degree in the above fields are highly preferred.</li>
</ul>
Required Minimum Experience:
<ul>
<li>5+ years post-Master’s Degree in applied statistics, or related experience OR 3+ year post-Doctorate in a relevant field.</li>
</ul>
Required Minimum Skills:
<ul>
<li>Strong data, analytical, and statistical background and ability to discern when to apply high-level versus detailed analytical approaches.</li>
<li>Knowledge of research methodology and application of advanced statistical methods (including predictive modeling and times series tests).</li>
<li>Technologically savvy; proficient in data analysis and visualization tools, including R, SPSS, and Excel.</li>
<li>Exceptional attention to detail and critical thinking skills.</li>
<li>Experience with complex analysis such as Wilcoxon Signed Rank test, Poisson Model, Mann-Whitney U test, and/or Kruskal-Wallis test.</li>
<li>Clear verbal and written communication skills and effective presentation and reporting skills.</li>
<li>Proven ability to collaborate across groups and drive results.</li>
<li>Experience with Lean processes and waste reduction.</li>
</ul>

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