PG193573EP

No

Data Manager & Research Analyst

Commensurate upon education and experience

40 hours/week, varies

Raleigh, NC

Biological Sciences

The Department of Biological Sciences, within the College of Sciences at NC State University, is dedicated to research and teaching in a broad range of aspects of the biological sciences. The Department has strong undergraduate, graduate, and postdoctoral programs and substantial extramural support to develop and maintain integrative research programs. Additionally, the Department partners with other life sciences units across the University to enhance its mission to conduct interdisciplinary research and training programs. Please visit our Sciences Strategic Plan and the College of Sciences Culture Charter to learn more about the College of Sciences.

NC State promotes an integrated approach to problem solving that transforms lives and provides leadership for social, economic, and technological development across North Carolina and around the world. NC State’s land grant mission of teaching, research and service is dedicated to the service of North Carolina and its people. Applicants are encouraged to review the institution’s mission, vision and strategic plan, and consider how their background, interest and experience would enable them to support the university.

As an integral member of the research team, the Data Manager and Research Analyst will perform a variety of duties in support of multiple human subject health research studies including processing large data sets, data entry oversight, analyzing complex data sets, literature searches, writing and presentation of results, and ad-hoc analyses and support as needed Specific duties will include but are not limited to:

Data Management, including set up and maintenance of databases and processing, cleaning, organization, and sharing of data.

• Develop and support databases to capture and manage both process data related to study management and outcome data from surveys, lab analyses, etc.; this includes use of Microsoft Access, REDCap, Qualtrics, and other computer applications
• Import study data into SAS from collection and storage tools including but not limited to enrollment and follow-up logs, participant surveys, medical records, lab results, lab tracking records including the Laboratory Information Management System, etc.
• Combine and harmonize data collected from multiple sites where needed
• Review data for accuracy, validity, completeness, and integrity taking steps to clean data and correct issues in preparation for analysis
• Create new variables as required
• Prepare study documentation for both technical (e.g. thoroughly document SAS code) and non-technical audiences (e.g. data dictionaries, maintenance of source documents such as surveys and forms, etc.)
• Manage the storage of study data, code, and all related documentation in an organized fashion
• Prepare and distribute documentation and data sets for investigators and analysts and maintain records of these distributions
• At the conclusion of an analysis the data set used for analysis, code, output, and final manuscript should be stored in a folder specific for that publication

• Create and maintain tools to assist with tracking progress of study enrollment and follow-up through analysis of tracking data
• Analyze datasets using a combination of accepted and novel methods and statistical analysis; this includes use of SAS and/or R
• Interpret and evaluate analysis results including evaluation for appropriateness, reasonableness, validity, and suppression
• Document methods used for analysis
• Complete literature searches and summarize the results to support scientific writing
• Prepare reports, scientific manuscripts, and/or presentations

• Train other staff in use of data tools such as REDCap, Qualtrics, and Microsoft Access; this includes use of these tools for data collection, entry, verification, and cleaning
• Work with study project managers, the lab manager, and other team members to ensure entry of data from a variety of sources
• Work collaboratively with the research team to develop analysis plans and other data related tasks
• Report results of data cleaning, management, and analysis to direct supervisor, study PI, study coinvestigators, and the broader study team as applicable to a given task
• Work with the study team to resolve any questions about the study including with regards to data analysis, collection of data, data available for use, etc.
• Work collaboratively with other members of the study team to identify creative solutions to address challenges in the conduct of the study
• May assist with data and specimen collection for the study
• May help to maintain paper and electronic records in support of the research
• May perform other duties incidental to research activities as assigned

• Other duties as assigned

Bachelor’s degree in a discipline related to the field assigned and one year of related training or experience; or an equivalent combination of training and experience. All degrees must be received from appropriately accredited institutions.

• Intermediate experience with SAS programming
• Proficiency with Microsoft Office programs including MS Word, Excel, and PowerPoint and other applications for data entry, communication, and scheduling
• Interest in public health research; an interest in or familiarity with disparities research
• High level of attention to detail and accuracy
• Ability to work in a fast-paced environment, with various team members
• Time management with frequent changes to prioritization of tasks
• Ability to work independently with minimal supervision
• Ability to adapt and be flexible in order to meet new challenges in study conduct
• Clear and concise communication verbally and in written form.
• Understanding of statistical methods commonly used in data analysis as well as being able to apply these methods
• Knowledge of key data cleaning and management tools and procedures
• Strong organizational and follow-up skills

• Proficiency in Microsoft Access or other relational databases (e.g. SQL)
• Experience with R, REDCap, and Qualtrics
• Master’s degree in related field
• 3+ years of SAS programming experience
• Driver’s license and access to a car; all mileage will be reimbursed

N/A

No

No

09/12/2024

Open until filled

Please attach a resume/cv, cover letter, and contact information for at least three professional references.

00107534

EHRA Non-Faculty

1.0

12 Month Recurring

Non Mandatory - Adverse Weather

Non Mandatory - Emergency Event

172201 - Biological Sciences

NC State University is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, gender identity, age, sexual orientation, genetic information, status as an individual with a disability, or status as a protected veteran. Individuals with disabilities requiring disability-related accommodations in the application and interview process are welcome to contact 919-515-3148 to speak with a representative at the Office of Institutional Equity and Diversity.

If you have general questions about the application process, you may contact Human Resources at (919) 515-2135 or workatncstate@ncsu.edu.

Final candidates are subject to criminal & sex offender background checks. Some vacancies also require credit or motor vehicle checks. Degree(s) must be obtained prior to start date in order to meet qualifications and receive credit.

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