Statistical Data Analyst - Neurology

Position Summary
Work completely REMOTELY or on a HYBRID office/home schedule! This is your opportunity to get involved in the effort to end/prevent Alzheimer’s disease and be a part of a top-notch, collegial team dedicated to leading the field. Our growing team needs your data management skills, working on a platform study with our partners in Australia, Europe, Asia, South America, and the U.S. Please read more about the cutting-edge research you can be a part of at the Dominantly Inherited Alzheimer Network Trials Unit (DIAN-TU) at Washington University School of Medicine, ranked #11 in research funding by U.S. News & World Report’s Best Medical Schools list (2022).
This position will work closely with the Biostatistic core leader of the Dominantly Inherited Alzheimer Network trial unit (DIAN TU). This position will perform data analysis and data management for clinical trials within DIAN TU and other related projects using statistical packages. Assists investigators in the design of experiments, clinical trials and epidemiological studies.

Job Description

Primary Duties and Responsibilities

• Performs data analysis and/or data management for investigators using statistical packages such as SAS and R including generation of tables and graphs.
• Assists investigators in the design of experiments, clinical trials and epidemiological studies.
• Assists in database design, implementation and maintenance of data collected over time for research purposes, including acquisition, editing and reporting.
• May assist in design and development of data entry systems.
• May function as a statistical consultant primarily in collaborative studies involving the medical school community.

Preferred Qualifications

• Master’s degree in Biostatistics, Statistics, Epidemiology, Computer Science or related field.
• Able to conduct longitudinal data analysis and survival analysis using SAS and R.  
• Experience in biomedical and/or clinical studies desirable.
• Effective verbal, written and interpersonal communication skills.
• Demonstrated organization skills.

Required Qualifications

• Equivalent of a bachelor’s degree in a relevant field (such as, Math, Statistics, Computer Science or Epidemiology).
• Experience and proficiency with data analysis and data management utilizing statistical packages utilized by department/s.

Grade
G11

Salary Range
$49,000.00 - $83,800.00 / Annually

The salary range reflects base salaries paid for positions in a given job grade across the University. Individual rates within the range will be determined by factors including one's qualifications and performance, equity with others in the department, market rates for positions within the same grade and department budget.

Pre-Employment Screening
All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.

Benefits Statement
Washington University in St. Louis is committed to providing a comprehensive and competitive benefits package to our employees. Benefits eligibility is subject to employment status, full-time equivalent (FTE) workload, and weekly standard hours. Please visit our website at https://hr.wustl.edu/benefits/ to view a summary of benefits.

EEO/AA Statement
Washington University is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration without regard to an individual’s sex, race, color, religion, age, disability status, protected veteran status, national or ethnic origin, gender identity or expression, sexual orientation. Women, minorities, protected veterans and the disabled are strongly encouraged to apply.

Diversity Statement
Washington University is dedicated to building a diverse community of individuals who are committed to contributing to an inclusive environment – fostering respect for all and welcoming individuals from diverse backgrounds, experiences and perspectives. Individuals with a commitment to these values are encouraged to apply.

Applicant Instructions
When you are ready to apply, creating an account only takes a minute. Your account creates a candidate home page which we will use to communicate with you and allows you to apply for jobs and view your application statuses. The first page of the application offers two “Quick Apply” options. Quick Apply allows you to either use a previous application or create a new application using a resume to populate the work experience and education sections of your job application. If using a resume to populate your application, check to ensure the application fields populated accurately. You may skip the “Quick Apply” page by clicking “Next” at the bottom of the page. Documents may be uploaded in the My Experience section of the application. You also have the option to apply with a Linkedin feature, which allows you to apply by using your Linkedin profile to populate some of the job application fields.

Scheduled Hours
40

Position Summary
Work completely REMOTELY or on a HYBRID office/home schedule! This is your opportunity to get involved in the effort to end/prevent Alzheimer’s disease and be a part of a top-notch, collegial team dedicated to leading the field. Our growing team needs your data management skills, working on a platform study with our partners in Australia, Europe, Asia, South America, and the U.S. Please read more about the cutting-edge research you can be a part of at the Dominantly Inherited Alzheimer Network Trials Unit (DIAN-TU) at Washington University School of Medicine, ranked #11 in research funding by U.S. News & World Report’s Best Medical Schools list (2022).
This position will work closely with the Biostatistic core leader of the Dominantly Inherited Alzheimer Network trial unit (DIAN TU). This position will perform data analysis and data management for clinical trials within DIAN TU and other related projects using statistical packages. Assists investigators in the design of experiments, clinical trials and epidemiological studies.

Job Description

Primary Duties and Responsibilities

• Performs data analysis and/or data management for investigators using statistical packages such as SAS and R including generation of tables and graphs.
• Assists investigators in the design of experiments, clinical trials and epidemiological studies.
• Assists in database design, implementation and maintenance of data collected over time for research purposes, including acquisition, editing and reporting.
• May assist in design and development of data entry systems.
• May function as a statistical consultant primarily in collaborative studies involving the medical school community.

Preferred Qualifications

• Master’s degree in Biostatistics, Statistics, Epidemiology, Computer Science or related field.
• Able to conduct longitudinal data analysis and survival analysis using SAS and R.  
• Experience in biomedical and/or clinical studies desirable.
• Effective verbal, written and interpersonal communication skills.
• Demonstrated organization skills.

Required Qualifications

• Equivalent of a bachelor’s degree in a relevant field (such as, Math, Statistics, Computer Science or Epidemiology).
• Experience and proficiency with data analysis and data management utilizing statistical packages utilized by department/s.

Grade
G11

Salary Range
$49,000.00 - $83,800.00 / Annually

The salary range reflects base salaries paid for positions in a given job grade across the University. Individual rates within the range will be determined by factors including one's qualifications and performance, equity with others in the department, market rates for positions within the same grade and department budget.

Pre-Employment Screening
All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.

Benefits Statement
Washington University in St. Louis is committed to providing a comprehensive and competitive benefits package to our employees. Benefits eligibility is subject to employment status, full-time equivalent (FTE) workload, and weekly standard hours. Please visit our website at https://hr.wustl.edu/benefits/ to view a summary of benefits.

EEO/AA Statement
Washington University is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration without regard to an individual’s sex, race, color, religion, age, disability status, protected veteran status, national or ethnic origin, gender identity or expression, sexual orientation. Women, minorities, protected veterans and the disabled are strongly encouraged to apply.

Diversity Statement
Washington University is dedicated to building a diverse community of individuals who are committed to contributing to an inclusive environment – fostering respect for all and welcoming individuals from diverse backgrounds, experiences and perspectives. Individuals with a commitment to these values are encouraged to apply.

Applicant Instructions
When you are ready to apply, creating an account only takes a minute. Your account creates a candidate home page which we will use to communicate with you and allows you to apply for jobs and view your application statuses. The first page of the application offers two “Quick Apply” options. Quick Apply allows you to either use a previous application or create a new application using a resume to populate the work experience and education sections of your job application. If using a resume to populate your application, check to ensure the application fields populated accurately. You may skip the “Quick Apply” page by clicking “Next” at the bottom of the page. Documents may be uploaded in the My Experience section of the application. You also have the option to apply with a Linkedin feature, which allows you to apply by using your Linkedin profile to populate some of the job application fields.