Associate Director of Biostatistics

University of Chicago•Chicago, IL

17d•Onsite

About The Position

The Associate Director of Biostatistics will be responsible for analyzing cutting-edge bio-behavioral health and network epidemiological data, developing collaborative relationships within and outside of CCHE, and managing analysts, contractors, and students. The candidate will assist with the implementation of protocols, development of strategic goals and support creating a diverse funding research portfolio. The position is under the direct supervision of Dr. Anna Hotton, Research Associate Professor. CCHE works with black sexual and gender minorities living on the South side of Chicago. This candidate will actively pursue required knowledge and skills for professional development in regards to the aforementioned population. This position is grant funded.

Requirements

Minimum requirements include a college or university degree in related field.
Minimum requirements include knowledge and skills developed through 7+ years of work experience in a related job discipline.
Proficiency in the use of Microsoft Applications, including but not limited to Outlook, Excel, Access and Word.
Proficiency with one or more statistical analysis software packages, such as SAS, Stata, or R for data management and statistical analysis.
Ability to adhere to protocols for maintaining confidentiality of protected health information, and work with sensitive information (HIV/STI testing data).
Meticulous attention to detail and excellent organizational skills.
Ability to work on multiple projects simultaneously, set priorities, and meet deadlines.
Strong interpersonal skills and the ability to work both independently and as part of a team.
Demonstrated written and verbal communication skills, including ability to communicate results from complex statistical analyses to a non-technical audience.
Flexibility, creativity, and problem-solving skills.
Ability to collaborate with colleagues from diverse academic and professional backgrounds.
Ability to identify and expand knowledge of new software and analytic tools to support evolving Center needs.
Strong relationship and team management skills including ability to adapt communication style, content, timing and tone to principal investigators, staff and/or stakeholder needs.
Ability with leading meetings and guiding other organization members.

Nice To Haves

Advanced degree in statistics, biostatistics, epidemiology, public health or any other related quantitative discipline.
Experience with personnel management, project management and protocol development in an academic research setting.
Experience maintaining and documenting source code for reproducibility of research.
Experience in one or more of the following areas, including HIV/STI prevention research, epidemiologic study design, network analysis, public health surveillance, and/or clinical and social science research methods.
Experience working with longitudinal data, network data, or other clustered data structures.
Experience with manipulation of large databases and consolidation and synthesis of data from multiple sources.
Knowledge of high-performance computing systems, Git and version control systems, and/or experience with Unix/Linux systems.
Strong analytical skills.
Ability to provide written descriptions of analytic methods for grant applications and scientific manuscripts.

Responsibilities

With the guidance of the Director of Biostatistics and Computational Modeling, help oversee budgeting, personnel management, and project management and develop and implement effective strategies, monitor progress, and make adjustments as necessary.
Collaborate across teams and contribute to protocol development, analysis planning, interpretation of results, and preparation of regulatory submissions.
Provide supervision, technical guidance and mentorship to junior and senior data analysts, statisticians, contractors/temp employees, and students.
Work with CCHE investigators to identify appropriate statistical methods to address research hypotheses and conducting statistical analyses accordingly.
Oversee the creation of analytic datasets by merging, cleaning, and coding data from multiple sources, including behavioral surveys, electronic health records, and public health surveillance.
Document source code and data management and analysis procedures.
Prepare tables and figures for manuscripts, abstracts, and other scientific publications.
Develop statistical sections of data management plans, protocols, statistical analysis plans, and key specifications for statistical programming implementation.
Contribute to the writing of statistical methods sections for manuscripts and other publications, with opportunities for authorship available.
Present results of statistical analyses to researchers, colleagues, and funders, including formal presentations at conferences.
Participate in regular meetings with CCHE research staff and data analysts to discuss proposed analyses, share code and analytic approaches, and discuss data and/or methodological challenges as they arise.
Provide assistance with power calculations and proposed analytic strategies for new grant proposals.
Provide critical methodological evaluation of newly proposed research designs and suggest design improvements and statistical analysis plans.
Contribute to the growth of the Biostatistics team; participate in hiring and strategic planning decisions.
Provide administrative support for data sharing protocols and regulatory approvals.
Develop protocols for ensuring adherence to regulatory requirements for data collection, sharing, and analysis.
Support staff development by facilitating workshops, trainings and continuing education activities.
Work with CCHE leadership to identify new opportunities for collaboration within and outside the Center.
Identify opportunities and contribute to proposals for funding support for the Biostatistics team.
Collaborate with CCHE Research and Service teams to facilitate use of best practices for data collection, sharing, and analysis across the Center.
Train new hires on protocols for data storage, management, and analysis.
Complete time approval and administrative oversight in Workday.
Improves development of training, tools, and process documentation.
Leads implementation or modification of existing web-based bioinformatics tools.
Performs other related work as needed.