<h3>Job Description</h3>
Job DescriptionCompany Description 
Syngenta Seeds is one of the world’s largest developers and producers of seed for farmers, commercial growers, retailers and small seed companies. Syngenta seeds improve the quality and yields of crops. High-quality seeds ensure better and more productive crops, which is why farmers invest in them. Advanced seeds help mitigate risks such as disease and drought and allow farmers to grow food using less land, less water and fewer inputs.&nbsp;&nbsp;&nbsp;
Syngenta Seeds brings farmers more vigorous, stronger, resistant plants, including innovative hybrid varieties and biotech crops that can thrive even in challenging growing conditions.&nbsp;&nbsp;
Syngenta Seeds is headquartered in the United States.&nbsp;
Job Description 
Please note: This position can be supported remotely from within the United States. Optimal support locations are in the Durham, NC and Clinton, IL areas. 
At Syngenta, we are building the most collaborative and trusted team in agriculture to provide leading seeds innovations that enhance the prosperity of farmers worldwide. Our Statistical Design and Analytics team within Trait Evaluation is seeking a Statistician with a passion for agriculture and data analysis skills to help transform laboratory, greenhouse, or field-derived data into decisions related to trait performance, selection and prediction.
As a Statistician working in Traits R&amp;D, you will work collaboratively to design relevant experiments to robustly test material in the field to guide decisions on advancement of material through the traits pipeline.
Accountabilities:
<ul>
<li>Conduct statistical analyses on datasets including environmental and safety assessment studies such as agronomic/phenotypic, composition, germination, non-target organism, and protein expression. &nbsp;</li>
<li>Provide guidance on experimental design in support of robust data analysis for studies to support Trait Evaluation and Product Safety. &nbsp;</li>
<li>Assist in interpretation of results and generating reports including the production of data tables and graphics for data visualization.</li>
<li>Collaborate directly with applied crop teams, study directors and other scientists, engaging stakeholders and experts across Traits R&amp;D.</li>
</ul>
Qualifications 
Required:
<ul>
<li>Master’s degree statistics, preferably in biostatistics, agriculture sciences and/or related sciences.</li>
<li>A minimum 2 years of experience in experimental design, statistical analysis and applied statistics.</li>
<li>Experience utilizing SAS statistical software for the analysis of experimental datasets.</li>
<li>Must be eligible to work in the United States without sponsorship support from Syngenta.</li>
</ul>
Preferred:
<ul>
<li>Proficient skills in Data Analytics and Experimental Design especially as it pertains to field trialing, agronomy, and crop composition.</li>
<li>Ability to perform statistical analysis of data for the purpose of making data-driven decisions and understand the complexity of statistical analysis within agricultural research.</li>
<li>Proficient understanding of experimental designs commonly used in agriculture and life sciences. &nbsp;</li>
<li>Strong experience collaborating with diverse teams to make data-driven decisions. &nbsp;</li>
<li>Strong oral and written communication skills in English, including the ability to communicate effectively with individuals of diverse language, cultural, and scientific backgrounds.</li>
<li>Proficiency in data organization, analysis and reporting utilizing programs such as R or Python.</li>
<li>Proficient in statistical analysis with strong focus in mixed models and multivariate analyses. &nbsp;</li>
<li>Understanding of experimental design, knowledge in field trialing, and data analysis of data derived from field experiments in agriculture.</li>
<li>Experience conducting sample size and power calculations appropriate for hypothesis testing.</li>
<li>Understanding of Good Laboratory Practices (GLP) and ability to comply with GLP requirements.</li>
</ul>
 Additional Information 
What We Offer:&nbsp;
<ul>
<li>A culture that celebrates diversity &amp; inclusion, promotes professional development, and strives for a work-life balance that supports the team members. Offers flexible work options to support your work and personal needs.&nbsp;</li>
<li>Full Benefit Package (Medical, Dental &amp; Vision) that starts your first day.&nbsp;&nbsp;</li>
<li>401k plan with company match, Profit Sharing &amp; Retirement Savings Contribution.&nbsp;</li>
<li>Paid Vacation, Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts, among other benefits.&nbsp;</li>
</ul>
Syngenta has been ranked as a top employer by Science Journal.&nbsp; Learn more about our team and our mission here: <a href="https://www.youtube.com/watch?v=OVCN_51GbNI&amp;nbsp" target="_blank">https://www.youtube.com/watch?v=OVCN_51GbNI&amp;nbsp</a>;
Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.&nbsp;
WL4B
#LI-DR123 #LI-REMOTE

Statistician

<h3>Job Description</h3>
Russell Tobin is seeking a Statistician for a medical device manufacturer operating in various areas, including medical-surgical solutions, dental solutions, health information systems, and purification and filtration.
 
Job Title: Statistician
Location: Brookings, SD (Hybrid)
Job Type: Contract
Length: 10-Months
Hours: 40 hours/week
Pay Rate: $38.00 - $44.25 per hour
 
Overview:
<ul>
<li>Worker to assume leadership of Quality Department projects and supports statistical needs of Medical Surgical business.</li>
<li>Worker reports to business Statistician.</li>
<li>Duties and responsibilities include Identifying, planning, recommending and completing technical projects, supporting all business activities in experimental design and data analysis.</li>
<li>May need to present, prepare reports, and conduct training.</li>
</ul>
 
Responsibilities:
<ul>
<li>Prepare sampling plans, design of experiments, ANOVA, t-tests and other statistical support for teams upon request</li>
<li>Participate in meetings where data is presented and provide critical analysis of the data and feedback to the team on the meaning of data results and coach on appropriate data analysis</li>
<li>Prepare and present statistical training as requested by MedSurg Statistician</li>
<li>Support Quality Master Data clean up in preparation for SAP launch</li>
<li>Conduct user acceptance testing as needed to support SAP launch</li>
<li>Complete project work as needed to support MedSurg Quality Operations</li>
</ul>
 
Your Skills and Expertise 
<ul>
<li>Bachelor's Degree or higher in Engineering, Math or Statistics</li>
<li>Minitab expertise</li>
<li>10 years or more experience in Quality, Engineering or Statistics</li>
<li>Statistical expertise in design of experiments, sampling plans, test method validation, process validation, ANOVA, t-tests, control charts and similar</li>
<li>MInitab expertise</li>
<li>Basic project management skills (PM certification not expected or required)</li>
<li>Prior experience in health care manufacturing preferred</li>
<li>Minimal work direction needed, highly skilled and knowledgeable to the position and provides best practicing sharing within work group.</li>
</ul>
 
Benefits that Russell Tobin offers:
Russell Tobin offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), a 401(k)-retirement savings, life &amp; disability insurance, an employee assistance program, identity theft protection, legal support, auto and home insurance, pet insurance, and employee discounts with some preferred vendors.
 
Apply Today! If you are interested in the position, please email your resume to <a href="mailto:rob.vanriet@russelltobin.com" target="_blank">rob.vanriet@russelltobin.com</a> for immediate consideration.

We are looking for a Statistician to join our Science team. This is a key position which will enable us to deliver new capabilities for the Our Future Health research resource in the next 12 months and beyond. The successful Statistician will help develop methods to address selection biases in the recruitment and collection of data from participants. As part of the Science team, you will also provide statistical and scientific support to other cross-functional teams within Our Future Health. If you are looking for a new challenge working in an agile, tech-enabled health research organisation, we’d like to see your application.
Our Future Health will be the UK’s largest ever health research programme, bringing people together to develop new ways to detect, prevent, and treat diseases. We are a charity, supported by the UK Government, in partnership with charities and industry. We work closely with the NHS and with public authorities across all nations and regions of the UK.
Our plan is to bring together 5 million volunteers from right across the UK who will be asked to contribute information to help build one of the most detailed pictures we have ever had of people’s health. Researchers will be able to use this information to make new discoveries about human health and diseases. So future generations can live in good health for longer.
What you’ll be doing:
In this role, you will work with the Director of Science and Biostatistics and cross-functional teams to help ensure the quality and utility of the Our Future Health research resource and other data products. This will support scientific aspects of the programme including:&nbsp;Design of the cohort and additional data collections, understanding cohort diversity and representativeness, creating scientifically valuable data products&nbsp;and data quality assessment.
Your key responsibilities will include but not be limited to:
<ul>
<li>Developing statistical weights to improve representativeness of analyses using Our Future Health data.</li>
<li>Working with Operations and Data teams to acquire and collate data to support non-response analysis.</li>
<li>Conducting data analysis with Science, Population Health Insights, and other cross-functional teams.</li>
<li>Providing statistical expertise in the development of new questionnaires and other data collections.</li>
<li>Supporting the development of new data products and services to maximise their scientific value.</li>
</ul>
Requirements
To succeed in this role, you will have experience of working with large, population-based surveys and knowledge of methods of adjusting for non-representativeness, including statistical weights such as non-response weights. You will also have some of the following skills: 
<ul>
<li>A PhD or MSc with relevant experience in statistics or a related subject in biomedicine.</li>
<li>Excellent understanding of statistical concepts and methods, and their application to epidemiology.</li>
<li>Experience in analysis of large complex health datasets.</li>
<li>Proficiency in R or Python.</li>
<li>Excellent understanding of statistical considerations of study design.</li>
<li>Ability to work independently as well as part of cross-functional teams.</li>
<li>Excellent communication skills with scientific, technical and non-technical colleagues.</li>
<li>Experience presenting research results, and an ability to represent the team at external meetings.</li>
<li>Enthusiasm for working in agile, cross-functional teams.</li>
<li>Interest in developing scientific data products to support research user needs.</li>
<li>A pragmatic outlook and ability to prioritise.</li>
</ul>
Benefits
<ul>
<li>Up to £55,000 per annum basic salary.</li>
<li>Generous Pension Scheme – We invest in your future with employer contributions of up to 12%.</li>
<li>30 Days Holiday + Bank Holidays – Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you.</li>
<li>Enhanced Parental Leave – Supporting you during life’s biggest moments.</li>
<li>Career Growth &amp; Development – £500 per year to spend on Learnerbly, our learning platform, plus regular appraisals and development opportunities.</li>
<li>Cycle to Work Scheme – Save 25-39% on a new bike and accessories through salary sacrifice.</li>
<li>Home &amp; Tech Savings – Get up to 8% off on IKEA and Currys products, spreading the cost over 12 months through salary sacrifice.</li>
<li>£1,000 Employee Referral Bonus – Know someone amazing? Get rewarded for bringing them on board!</li>
<li>Wellbeing Support – Access to Mental Health First Aiders, plus 24/7 online GP services and an Employee Assistance Programme for you and your family.</li>
<li>A Great Place to Work – We have a lovely Central London office in Holborn, and offer flexible and remote working arrangements.</li>
</ul>
Join us - let’s prevent disease together.
application closing date: 27/05/2025

<h3>Job Description</h3>
Job DescriptionSalary: 
<ul>
<li>Certifications: None required</li>
<li>Education: PhD in Statistics</li>
<li>Experience: Minimum 10 years of applicable statistical experience; telecommunications industry experience preferred</li>
</ul>
The Lead Statistician is responsible for the overall execution of statistical modeling and analysis activities. This includes preparing testing scenarios, evaluating model performance using Microsoft Office-based tools, and developing advanced mathematical algorithms grounded in data analysis and process understanding. The Lead Statistician interprets trends through statistical modeling, documents and defends sampling plans and analytical conclusions, and provides leadership and oversight to senior and junior statisticians on the team.

Statistician (Lead)

<h3>Job Description</h3>
Job DescriptionSalary: 
<ul>
<li>Location: Washington, D.C. (Hybrid Setting)</li>
<li>Certifications: None required</li>
<li>Education: Bachelors Degree in a relevant business or technical field</li>
<li>Experience: Minimum 7 years of statistical experience; telecommunications industry experience preferred </li>
</ul>
 
The Senior Statistician assists in building and testing statistical models, developing algorithms, and analyzing data using Microsoft Office-based applications. This role involves interpreting trends, supporting process understanding through statistical methods, and contributing to model development efforts. The Senior Statistician works closely with the Lead Statistician to deliver high-quality analytical outcomes that support data-driven decisions.

Senior Statistician

<h3>Job Description</h3>
The Scientific Team at Russell Tobin &amp; Associates is hiring a Senior Quality Statistician II for a world-class client in Brookings, SD
Required top skills:
-This role is a statistical expert position. It combines data analysis, project support, quality systems readiness, and mentorship/training responsibilities
-Hands-on experience with Minitab for statistical analysis.
-Deep knowledge in:
<ul>
<li>DOE (Design of Experiments)</li>
<li>Sampling Plans</li>
<li>Test Method &amp; Process Validation</li>
<li>ANOVA, t-tests, control charts, and similar statistical tools</li>
</ul>
 
Additional Details:
-10+ Months contract with the possibility of Extension 
-Pay: $44/ hr

Senior Quality Statistician

<h3>Job Description</h3>
Job DescriptionDescription:
At The One 23 Group, our mission is to set the benchmark for excellence in government services. We empower our clients in the Department of Defense, Intelligence Community, and Federal Civilian sectors to excel with our advanced capabilities. Our dedication lies in fostering a people-first culture, underpinned by steadfast ethical principles. Embracing innovative technologies and process improvements, we are steadfast in our journey toward a future that is both bright and transformative.
 
Our expertise spans consulting and analytics, digital workplace solutions, and cyber compliance. With our global footprint, we place a strong emphasis on nurturing our people and culture, which forms the core of our successful strategies in leadership and financial management. We pride ourselves on our extensive experience and effective approach, ensuring that we lead with both innovation and integrity.
 
 The One 23 Group is seeking a highly skilled Immigration Statistician (Journeyman) with 5+ years of experience in data management, statistical analysis, and policy implementation. This role is critical for overseeing the processes, policies, and standards used to manage immigration data, ensuring data integrity, compliance, and alignment with business objectives.
The ideal candidate will have a strong background in data governance, data quality assurance, and privacy regulations, with experience developing and implementing data management strategies that support policy development, operational planning, and decision-making within DHS. (Hybrid work schedule - 80% Remote, 20% In Office)
Requirements:
Key Responsibilities:
<ul>
<li>Develop and implement data governance frameworks and data management strategies to ensure compliance with DHS policies and federal regulations.</li>
<li>Oversee processes, policies, and standards used to manage immigration data, ensuring consistency, accuracy, and security.</li>
<li> Analyze immigration-related data to identify trends, inform policy decisions, and support operational improvements.</li>
<li>Ensure data quality and integrity by implementing validation methods, error-checking protocols, and standardization procedures.</li>
<li>Collaborate with internal and external stakeholders to align data initiatives with DHS priorities and business objectives.</li>
<li>Develop data privacy policies and implement safeguards to protect sensitive immigration data.</li>
<li>Monitor and enforce data compliance with relevant laws, including the Privacy Act and federal data security guidelines.</li>
<li>Coordinate with IT and data analysts to optimize data systems, improve data reporting capabilities, and enhance data-sharing processes.</li>
<li>Prepare statistical reports, dashboards, and data visualizations to communicate findings and support decision-making.</li>
<li>Provide guidance and recommendations on data collection methodologies and statistical analysis techniques.</li>
</ul>
Required Qualifications:
<ul>
<li>Bachelor’s degree in Statistics, Data Science, Mathematics, Economics, Computer Science, or a related field.</li>
<li>5+ years of experience in data management, statistical analysis, or a related field.</li>
<li>Strong knowledge of data governance principles, data privacy regulations, and data quality assurance.</li>
<li>Experience developing and implementing data management policies, standards, and best practices.</li>
<li>Proficiency in statistical software (e.g., R, SAS, SPSS) and data visualization tools (e.g., Tableau, Power BI).</li>
<li>Familiarity with relational databases, SQL, and data query tools.</li>
<li>Strong analytical skills with the ability to interpret complex immigration data and provide actionable insights.</li>
<li>Experience working with large datasets, data cleaning, and data validation techniques.</li>
<li>Ability to work collaboratively with cross-functional teams, including policy analysts, IT professionals, and government stakeholders.</li>
<li>Excellent communication skills, with the ability to translate data findings into clear, concise reports and presentations.</li>
</ul>
Preferred Qualifications:
<ul>
<li>Experience working in immigration policy, homeland security, or government agencies.</li>
<li>Knowledge of federal data security policies, including FISMA, Privacy Act, and DHS-specific regulations.</li>
<li>Experience with machine learning, AI-driven analytics, or predictive modeling for immigration data trends.</li>
</ul>
Additional Information:
<ul>
<li>Security Clearance: Not required, but candidates must successfully pass a background check.</li>
<li>Work Environment: Hybrid/remote options available based on agency needs.</li>
</ul>

Immigration Statistician (Journeyman)

<h3>Job Description</h3>
Job DescriptionCompany Description 
<ul>
<li>Katalyst Healthcares &amp; Life Sciences is hiring entry level candidates for several positions for contract research in Clinical trials of drugs, biologics and medical devices.</li>
<li>We have a few immediate job opportunities available in Drug Safety and Pharmacovigilance and Clinical Research field. We work with University hospitals, pharmaceutical companies and recruiting partners.</li>
</ul>
Job Description 
Job Description: We are seeking a highly skilled and detail-oriented Consultant Statistician/Programmer to support Real-World Evidence (RWE) and Health Economics and Outcomes Research (HEOR) initiatives. The successful candidate will work closely with the RWE/HEOR biostatistician and will be responsible for developing, executing, and validating statistical programs using SAS and/or R to support analyses and deliverables for RWE, HEOR, and Market Access activities. Responsibilities:
<ul>
<li>Collaborate with HEOR and RWE biostatisticians to provide statistical programming support across various projects.</li>
<li>Develop, validate, and maintain SAS and/or R programs to support statistical analyses and reporting activities for HEOR, RWE, and Market Access studies.</li>
<li>Generate high-quality tables, listings, and figures based on clinical trial data and other relevant data sources.</li>
<li>Perform statistical modelling and analyses as required.</li>
<li>Utilize SDTM and Adam datasets to derive analysis datasets.</li>
<li>Serve as the primary programmer on assigned projects, ensuring that programming deliverables are accurate and consistent.</li>
<li>Perform quality control (QC) on statistical programs and outputs as needed.</li>
<li>Ensure all programming activities comply with industry standards, study protocols, and statistical analysis plans (SAPs).</li>
<li>Provide input on statistical methodologies and contribute to project deliverables.</li>
<li>Maintain comprehensive documentation and audit trails for all programming activities.</li>
<li>Perform rigorous data quality checks to ensure accuracy, completeness, and consistency.</li>
</ul>
Requirements:
<ul>
<li>Master's degree in Statistics, Biostatistics, Mathematics, Computer Science, or a related technical discipline.</li>
<li>Minimum of 4 years of experience in clinical research, preferably within the pharmaceutical or CRO industry, with exposure to Phase I–IV trials.</li>
<li>Hands-on experience with CDISC SDTM and Adam datasets.</li>
<li>Proficiency in SAS and R programming is required.</li>
<li>Strong analytical and problem-solving skills, with the ability to manage complex studies and meet deadlines.</li>
<li>Experience with statistical techniques, including longitudinal data analysis, survival analysis, and statistical modelling/simulation.</li>
<li>Familiarity with observational studies, causal inference, patient-reported outcomes (PROs), and health technology assessment (HTA).</li>
<li>Experience with indirect treatment comparisons (ITCs), such as matching-adjusted indirect comparison (MAIC), is a plus.</li>
<li>Prior experience in a similar role within the pharmaceutical industry, preferably with a focus on small molecule pharmaceuticals.</li>
</ul>
Additional Information 
All your information will be kept confidential according to EEO guidelines.

Statistician/Programmer

<h3>Job Description</h3>
Job Description
Position Summary:
Primarily assist the athletics communications director with pre-game, in-game and post-game duties for home events. Also helps with some clerical duties in the office.
 Principal Duties
In-game statistical data entry or “spotting” for the inputter, action photography, social media coverage and website maintenance. Other press box and office duties as assigned.
 Knowledge and Skills
<ul>
<li>Typing</li>
<li>Phone Coverage</li>
<li>Microsoft Excel</li>
<li>Microsoft Word</li>
<li>Customer Service/PR</li>
<li>Photography</li>
<li>Filing</li>
<li>Photocopying</li>
<li>Sports Statistician</li>
</ul>
Working Conditions 
Many weekends and nights, Block Break or Holiday work is expected. Most of the jobs are completed while at the event in the evenings and weekends.

Expectations 
Knowledge of the Athletic Department’s guidelines and procedures of various sports.

Sports Photographer and Statistician

<h3>Job Description</h3>
Job Description
Aleknagik Technology, LLC is searching for a qualified candidate to fill the role of Health Economist/Statistician. This individual will analyze large healthcare datasets, develop models for cost-effectiveness and health outcomes, and contribute to data-driven policy and clinical decision- making across federal healthcare initiatives. The position will be onsite at Falls Church, VA or San Antonio, TX, with remote work options as approved.
Duties: 
<ul>
<li>Design and implement statistical and economic models to evaluate healthcare interventions, costs, and outcomes.</li>
<li>Conduct cost-effectiveness, cost-benefit, and budget impact analyses using healthcare utilization and claims data.</li>
<li>Analyze large datasets from electronic health records (EHRs), claims, surveys, and other sources to identify trends and outcomes.</li>
<li>Develop data visualizations and reports to communicate findings to technical and non-technical audiences.</li>
<li>Collaborate with epidemiologists, data scientists, clinicians, and policy analysts to inform program strategies.</li>
<li>Ensure analytical methodologies adhere to federal standards and best practices in health economics and biostatistics.</li>
<li>Prepare manuscripts, briefing materials, and white papers for internal and external dissemination.</li>
<li>Support continuous improvement of data collection, management, and analysis processes.</li>
</ul>
Qualifications:
<ul>
<li>Master's degree in health economics, Biostatistics, Public Health, Epidemiology, or a related quantitative field.</li>
<li>5+ years of experience conducting health economic and/or statistical analyses in a public health or healthcare setting.</li>
<li>Proficiency in statistical software such as R, SAS, Stata, or Python.</li>
<li>Experience working with healthcare datasets, including claims, EHR, or survey data.</li>
<li>Strong written and oral communication skills, with the ability to translate complex findings into actionable insights.</li>
<li>Knowledge of healthcare financing, delivery systems, and outcomes measurement.</li>
<li>Experience working with federal healthcare programs (e.g., VA, DHA, DoD)</li>
<li>Familiarity with decision-analytic modeling and simulation techniques.</li>
<li>S Citizen</li>
<li>Hold Secret Clearance</li>
</ul>

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