Biostatistician Data Manager – NIH – Baltimore, MD
Baltimore, MD, US
Scientific
Bachelors Degree
Full Time, Temporary
$80,000 - $125,000
Experienced (Non-Manager)
On-site
Government and Public Sector
First Shift (Day)
Baltimore, MD, US
$80,000 - $125,000
Experienced (Non-Manager)
Full Time, Temporary
Government and Public Sector
On-site
Scientific
Bachelors Degree
First Shift (Day)
Job details
Kelly Government Solutions is a strategic supplier and business partner to the federal government and its key suppliers. Through our partnership with the National Institutes of Health, Kelly Government Solutions offers administrative, IT, engineering, scientific, and healthcare professionals the opportunity to work with one of the most prestigious research organizations in the world. We are currently seeking a Biostatistician Data Manager with the National Institutes of Health in Baltimore, MD
This is a long-term contract position which offers:
- Competitive compensation and comprehensive benefit package
- Optional health, vision, and dental plans
- Paid leave (min 120 hours; prorated for part-time position) as well as 11 paid federal holidays and 401K plan.
- Access to NIH’s unparalleled resources and niche scientific initiatives.
- Learn more about what Kelly can do for you at https://government.kellyservices.us/
TASKS. The contractor shall:
- Lead the development of study protocols and statistical analysis plans with a strong focus on hypothesis testing and relevant analytical frameworks
- Perform complex statistical analyses (e.g., multilevel models, mediation, longitudinal, causal inference) using R, SPSS, and other relevant software to answer cutting-edge research questions from data collected from diverse community-based cohort studies.
- Conduct hypothesis testing and design statistical approaches tailored to the research aims of the study
- Research and analyze new developments in biostatistical methods and applications
- Provide statistical leadership to research staff and junior team members: training on advanced techniques and best practices for data management and analysis
- Provide biostatistical expertise for the research study.
- Enter and verify data fields and data dictionaries.
- Write statistical sections in manuscripts; work with research staff to interpret referees’ comments on manuscripts.
- Analyze, interpret, communicate and document epidemiologic data and results
- Write code to execute data analysis, visualize and provide interpretation and context to results of analysis.
- Perform descriptive and missing data analysis.
- Perform data cleaning (identifying and correcting data entry errors and/or missing values) and data transformation (creating and categorizing variables and imputing data).
- Prepare clear and concise statistical reports that translate complex findings for diverse audiences.
- Consult with staff on the application of statistical methods to address the key study scientific aims of the study.
- Provide literature review related to analyses used in comparable studies.
- Integrate data from multiple sources into SAS data sets
- Collaborate with investigators to design studies, identifying appropriate and advanced statistical methods.
- Advise research teams on optimal data collection and analysis methods, ensuring robust study design and reliable interpretation of results.
- Study Design and Protocol Documentation: Work products related to the design of research studies, development of statistical analysis plans, and study protocols.
- Perform complex statistical analyses (e.g., multilevel models, mediation, longitudinal, causal inference) using R, SPSS, and other relevant software to answer cutting-edge research questions from data collected from diverse community-based cohort studies.
- Conduct hypothesis testing and design statistical approaches tailored to the research aims of the study.
- Prepare clear and concise statistical reports that translate complex findings for diverse audiences.
- A detailed codebook, SOPs, and documentation of management practices, including data audits, cleaning, and coding processes
- Documentation ensuring compliance with Institutional Review Board (IRB) requirements and quality control processes for data integrity and security.
- Ensure that data is shared only with investigators who have approved project proposals and are employed by institutions with active data-sharing agreements. Provide documentation verifying that data distribution adheres to these protocols.
- Provide assessments to the Principal Investigator regarding the originality of proposed research, recommending alterations in project proposals to avoid duplication of work or efforts within ongoing studies.
- Lead statistical contributions to research manuscripts, including being the lead author for manuscripts that align with BHE’s mission.
- Assist in grant writing, summarizing statistical methods clearly and persuasively for diverse stakeholders.
- Collaborate on research papers and grant proposals, summarizing complex statistical methods and results clearly and concisely.
- Develop materials for training junior staff or collaborators on statistical methods, data analysis software, and proper data management protocols.
REQUIREMENTS. The contractor must have:
- Master’s or PhD in Biostatistics, Epidemiology, or a related field with a strong background in applying advanced statistical methods to epidemiological data. A Bachelor’s degree with extensive specialized experience may be considered.
- Strong analytical and problem-solving skills, with the ability to independently design and implement statistical analyses for complex datasets.
- Excellent communication skills, with the ability to clearly explain statistical concepts and results to non-statistical audiences. –
- Extensive experience in the application of statistical methods to public health, epidemiology, or clinical research, particularly within the context of community-based cohort studies, and the ability to design and lead complex analyses independently.
- Proficiency in advanced statistical methods such as mediation models, multilevel analysis, causal inference, or longitudinal analysis, with hands-on experience using R, Mplus, SPSS, or equivalent software.
- Experience leading statistical contributions to publications, with a demonstrated ability to serve as lead author for manuscripts aligning with BHE’s mission and research focus.
- Commitment to long-term engagement, with a history of holding positions for extended periods, reflecting stability and dedication to ongoing research projects.
- Proficiency in statistical software such as R, Mplus, SPSS, and other statistical computing software.
PLEASE APPLY ONLINE
When you apply, please know a Kelly Government Solutions Recruiter will review your resume and will contact you directly, if your skills and experience match the requirements of this position; a full job description can be made available at that time.
Due to the high volume of inquiries, we regret that we cannot accept phone calls. Even if you aren’t contacted for this position, you are still part of our talent network. All Kelly recruiters have access to your profile, which expands your opportunities even further.
As part of our promise to talent, Kelly supports those who work with us through a variety of benefits, perks, and work-related resources. Kelly offers eligible employees voluntary benefit plans including medical, dental, vision, telemedicine, term life, whole life, accident insurance, critical illness, short-term disability, and a transportation spending account.
Visit https://www.mykelly.us/us-mykelly/perks/ for more information on benefits and perks that may be available to you as a member of the Kelly Talent Community.
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