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Qualifications: Master's Degree Biostatistics, Statistics, Epidemiology, Public Health, Data Science, Biometrics, Applied Statistics or related area of study and 3-5 years experience experience related to biostatistics, data science, public health, data analysis and study design. D. Biostatistics, Statistics, Epidemiology, Public Health, Data Science, Biometrics, Applied Statistics or related area of study and 1-2 years experience experience related to biostatistics, data science, public health, data analysis and study design.

Thanks for your interest in Children's Mercy!:
Do you envision finding a meaningful role with an inclusive and compassionate team? At Children’s Mercy, we believe in making a difference in the lives of all children and shining a light of hope to the patients and families we serve. Our employees make the difference, which is why we have been recognized by U.S. News & World Report as a top pediatric hospital, for eleven consecutive years. Children’s Mercy is in the heart of Kansas City – a metro abounding in cultural experiences, vibrant communities and thriving businesses. This is where our patients and families live, work and play. This is a community that has embraced our hospital and we strive to say thanks by giving back. As a leader in children’s health, we engage in meaningful programs and partnerships throughout the region so that we can improve the lives of children beyond the walls of our hospital.

Overview:
With minimal guidance performs intermediate-level statistical analysis on impactful pediatric research projects. Creates software applications for research projects with some guidance. Supports BCB team members in handling multiple competing projects and deadlines, and assists in coordinating the statistical needs of each research project. Collaborates closely with members of collaborative study teams. At Children’s Mercy, we are committed to ensuring that everyone feels welcomed within our walls. A successful candidate for this position will join us as we strive to create a workplace that reflects the community we serve, as well as our core values of kindness, curiosity, inclusion, team and integrity. Additionally, it’s important to us that we remain transparent with all potential job candidates. Because we value the safety of the patients and families we serve, as well as the Children’s Mercy staff, we want to let you know that the seasonal influenza vaccine is a condition of employment for all employees in our organization. New employees must be willing to be vaccinated if found non-immune to measles, mumps, rubella (MMR) and chicken pox (varicella) and/or without evidence of tetanus, diphtheria, acellular pertussis (Tdap) vaccination since 2005. If you are selected for this position, you will be asked to supply your immunization records as proof of vaccination. If you and have any concerns about receiving these vaccines, medical and/or religious exemptions can be further discussed with Human Resources.

Responsibilities:
<ul><li>With minimal guidance, performs and interprets basic and more advanced analyses, uses statistical and medical understanding, and best practices for reproducibility, to appropriately perform analyses.</li><li>Writes own code and finds errors, corrects, and validates output and results. Receives input from more senior biostatisticians.</li><li>Contributes meaningfully in discussions with investigators and more senior biostatisticians.</li><li>With some oversight, assists in the dissemination of research results</li></ul>

Qualifications:
<ul><li>Master's Degree Biostatistics, Statistics, Epidemiology, Public Health, Data Science, Biometrics, Applied Statistics or related area of study and 3-5 years experience experience related to biostatistics, data science, public health, data analysis and study design. or</li><li>Ph.D. Biostatistics, Statistics, Epidemiology, Public Health, Data Science, Biometrics, Applied Statistics or related area of study and 1-2 years experience experience related to biostatistics, data science, public health, data analysis and study design.</li></ul>

Benefits at Children's Mercy:
The benefits plans at Children’s Mercy are one of many reasons we are recognized as one of the best places to work in Kansas City. Our plans are designed to meet the changing needs of our employees and their families.<a href="https://www.childrensmercy.org/careers/why-childrens-mercy/employee-benefits/" rel="nofollow noopener noreferrer" target="_blank ">Learn more about Children’s Mercy benefits. </a>

Starting Pay:
Our pay ranges are market competitive. Your offer will be determined based on your education and experience.  

Remote Work/Work from Home:
 This is an intermittent remote position, which means that the person hired will work with his or her manager to determine a schedule that includes both at home and on-site hours at a Children’s Mercy location. The incumbent must live in the Kansas City metro area.

EEO Employer/Disabled/Vet:
Children’s Mercy hires individuals based on their job skills, expertise and ability to maintain professional relationships with fellow employees, patients, parents and visitors. A personal interview, formal education and training, previous work experience, references and a criminal background investigation are all factors used to select the best candidates. The hospital does not discriminate against prospective or current employees based on the race, color, religion, sex, national origin, age, disability, creed, genetic information, sexual orientation, gender identity or expression, ancestry or veteran status. A drug screen will be performed upon hire. Children’s Mercy is smoke and tobacco free. CM is committed to creating a workforce that supports the diverse backgrounds of our patients and families. We know that our greatest strengths come from the people who make up our team, so we hire great people from a wide variety of backgrounds, not just because it’s the right thing to do, but because it makes our hospital stronger and our patient care more compassionate. If you share our values and our enthusiasm for service, you will find a home at CM. In recruiting for our team, we welcome the unique contributions that you can bring, including education, ideas, culture, and beliefs.

Children's Mercy KC

Biostatistician II

Analysis Skills

Best Practices

Biometrics

Biostatistics

Compensation and Benefits

Data Analysis

Data Science

Diversity

Employee Relations

Epidemiology

Hospital

Human Resources

Multitasking

Patient Care

Pediatrics

Public Health

Statistics

Team Player

Time Management

Vaccination

Work From Home

[AW]-iCims

As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‑series forecasting).Fluency in English (native or bilingual level) with strong writing skills.

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.That's where you come in.As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here. Some team members fit this work alongside a full-time role, while others treat it as their primary focus.To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.BenefitsFully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.Flexible schedule: choose which projects you take on and when you work.Competitive pay: projects are paid hourly, starting at $40+ USD per hour.Impact: help shape the future of AI systems built to reason about data and analytics.ResponsibilitiesEvaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.Write clear technical explanations and well-documented analytical code.Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning.Qualifications2+ years of hands‑on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.Some coding experience required, with comfort writing and reviewing analytical code end-to-end.Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‑series forecasting).Fluency in English (native or bilingual level) with strong writing skills.A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus.Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise).Note: Payment is made via PayPal. We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.#datascience#J-18808-Ljbffr

DataAnnotation

Data Science Manager - AI Trainer

A/B Testing

Amazon Web Services (AWS)

Artificial Intelligence (AI)

Astrophysics

Benchmarking

Biology

Code Reviews

Computer Science

Data Modeling

Economics

English Language

Experiment Design

Finance

Forecasting

GCP (Good Clinical Practices)

Mathematics

Multilingual

Operations Research

Physics

Predictive Modeling

Problem Solving Skills

Quantitative Analysis

Quantitative Research

Regression Testing

Training/Teaching

Writing Skills

Hire Recruits

As a member of DataAnnotation's team, you'll work closely with state‑of‑the‑art AI models on tasks like evaluating AI‑generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‑series forecasting).Fluency in English (native or bilingual level) with strong writing skills.

Join the DataAnnotation team and contribute to developing cutting‑edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real‑world quantitative experience to validate whether the outputs actually hold up in practice.That's where you come in.As a member of DataAnnotation's team, you'll work closely with state‑of‑the‑art AI models on tasks like evaluating AI‑generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here. Some team members fit this work alongside a full‑time role, while others treat it as their primary focus.To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.BenefitsFully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.Flexible schedule: choose which projects you take on and when you work.Competitive pay: projects are paid hourly, up to $60 USD/hour.Impact: help shape the future of AI systems built to reason about data and analytics.ResponsibilitiesEvaluate AI‑generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data‑driven insights, for technical accuracy and real‑world validity.Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.Write clear technical explanations and well‑documented analytical code.Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning.Qualifications2+ years of hands‑on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.Some coding experience required, with comfort writing and reviewing analytical code end‑to‑end.Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‑series forecasting).Fluency in English (native or bilingual level) with strong writing skills.A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus.Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise).Payment is made via PayPal. We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.#J-18808-Ljbffr

Quantitative Trader - AI Trainer

IRecruitee

Biostatistics Jobs in Kansas, MO

Biostatistics Jobs in Kansas, MO

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Biostatistician II Children's Mercy KC

Data Science Manager - AI Trainer DataAnnotation

Quantitative Trader - AI Trainer DataAnnotation

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