Position Purpose
The Dartmouth Clinical and Translational Science Institute, also known as Dartmouth SYNERGY, is recruiting a Senior Research Analyst to support biomedical and clinical research conducted at Dartmouth Health and Dartmouth College. Primary tasks include data wrangling and cleaning, completing statistical analyses, drafting the methods and results sections of manuscripts, assisting researchers with study design selection, and providing additional statistical support to researchers. The analyst will be supervised by Dr. Todd MacKenzie, Professor of Biomedical Data Science and Director of the BSC. The analyst is required to work in-person 1-2 days a week and can work remotely the remainder of time.
Description
Required Qualifications - Education and Yrs Exp
Masters plus 2-3 years' experience or equivalent combination of education and experience.
Required Qualifications - Skills, Knowledge and Abilities
- Master’s Degree in statistics or closely related field and 1-3 year’s experience.
- Ability to work independently on statistical analyses.
- Organizational skills with excellent attention to detail.
- Ability to execute prescribed statistical analysis plans.
- Ability to summarize findings from statistical analyses in writing and verbally.
- Ability to communicate effectively with researchers seeking statistical support.
Preferred Qualifications
- PhD or master’s degree and 5 plus years’ experience.
- Experience collaborating as a statistician within and across multidisciplinary teams.
- Experience completing statistical analyses within biomedical research, clinical trials, or related contexts.
Department Contact for Recruitment Inquiries
Jamie Ibey
Department Contact Phone Number
603-646-7080
Department Contact for Cover Letter and Title
Dr. Todd MacKenzie, Professor of Biomedical Data Science and Director of the BSC
Equal Opportunity Employer
Dartmouth College is an equal opportunity/affirmative action employer with a strong commitment to diversity and inclusion. We prohibit discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, veteran status, marital status, or any other legally protected status. Applications by members of all underrepresented groups are encouraged.
Background Check
Employment in this position is contingent upon consent to and successful completion of a pre-employment background check, which may include a criminal background check, reference checks, verification of work history, conduct review, and verification of any required academic credentials, licenses, and/or certifications, with results acceptable to Dartmouth College. A criminal conviction will not automatically disqualify an applicant from employment. Background check information will be used in a confidential, non-discriminatory manner consistent with state and federal law.
Is driving a vehicle (e.g. Dartmouth vehicle or off road vehicle, rental car, personal car) an essential function of this job?
Not an essential function.
Special Instructions to Applicants
This position is funded by a grant. Continuation is based upon available funds. Dartmouth College has a Tobacco-Free Policy. Smoking and the use of tobacco-based products (including smokeless tobacco) are prohibited in all facilities, grounds, vehicles or other areas owned, operated or occupied by Dartmouth College with no exceptions.
Key Accountabilities
- Data Wrangling: Wrangles data using R, Python or other data programming language. Reshaping data in preparation for statistical analyses. (15% of time)
- Exploratory Data Analyses: Conducts exploratory analyses and data visualizations to identify discrepant data. (10% of time)
- Statistical Modeling and Inference: Uses statistical models such as linear regression, logistic regression, Poisson regression and Cox regression models for time-to-event data. Use mixed effects models or generalized estimating equations for clustered and repeated measures data. Create reports summarizing statistical analyses for researchers and guide researchers in interpreting statistical inference. Identify and execute appropriate statistical methods for high dimensional data. (20% of time)
- Machine Learning and Prediction: Utilize prediction algorithms such as random forests and penalized models (e.g., LASSO). (10% of time)
- Manuscript Preparation: Draft statistical methods sections for abstracts and manuscripts with support from senior biostatisticians. Advise on the writing of results sections of abstracts and manuscripts. (10% of time)
- Manage Ongoing and Completed Projects: Maintain status lists of active and completed projects with proper attention to deadlines and priority. Be responsive to researchers seeking statistical expertise. (10% of time)
- Staff a Biostatistics Walk-In clinic: Direct consultation for 3 hours per week. (15% of time)
- Demonstrates a commitment to diversity, inclusion, and cultural awareness through actions, interactions, and communications with others.
- Performs other duties as assigned.
