Biostatistician I - Department of Biostatistics

University of Iowa • Iowa City, IA

5d • Hybrid

About The Position

The Department of Biostatistics Clinical Trials Data Management Center is seeking candidates for the position of Biostatistician I. This position, under the direction of the team leaders, will conduct analyses, communicate findings to collaborators, and collaborate with a team of biostatisticians engaged in multi-center clinical research.Together, the Biostatistics team is responsible for the development of all statistical analysis plans, randomization schemes, statistical reports and analyses, as well as overseeing all data sharing activities and providing statistical support for publications. This team works closely with all teams in the Center to design data collection forms using data standards and to produce FAIR (findable, accessible, interoperable, and reusable) datasets. This position is part of a team that is actively engaged in all aspects of ongoing multi-center study operations at the Center and may be responsible for managing more than one project at a time and working with multiple clinicians with varying goals, backgrounds, and specialties.
Candidates with at least two years of experience should consider reviewing the position requisition for a Biostatistician II (ID: 26002596)

Requirements

• Master's degree in biostatistics, statistics, data science, or related field. In some cases, an equivalent combination of education and progressively responsible work experience will be considered sufficient to meet the requirements of the role.
• Proficient in SAS programming (minimum of 1year of experience) including data step programming to perform data manipulations as needed for statistical analyses and/or data presentations and knowledge of proper SAS procedures for statistical analyses.
• Strong verbal and written communications skills.
• Demonstrated understanding of statistical analysis procedures and interpretation of analysis results.
• Ability to work in a team environment.
• Good organizational skills, attention to detail, and ability to manage multiple deadlines.
• Knowledge of relational database methods to manipulate and merge multiple large datasets to create analytical datasets.

Nice To Haves

• Experience and background in clinical trials research through graduate level coursework or project experience.
• Some experience writing statistical analysis plans, analysis reports, protocols, or methods sections.
• Development of reports, tables, and listings in a professional setting.
• Use of SAS to navigate relational databases.
• Proficient in the use of macros in statistical software (for example SAS or R).
• Experience with R programming skills including knowledge of data import procedures, data management, and use of analysis packages generally associated with a minimum of 1 year experience.
• Experience with performing sample size and power calculations for planning actual research studies.
• Experience with advanced modeling using actual research data.
• Course work and/or professional experience of missing data techniques.
• Course work and/or professional experience of randomization procedures and sequence generation.

Responsibilities

• Assists in advising investigators on alternative statistical methods.
• Assists with the preparation of statistical sections for complex studies.
• Reports key findings to team leaders and assists with communicating key statistical findings to study investigators.
• Assists with writing reports of statistical analyses and preparing written materials for funding agencies and others.
• Prepares and reviews data for validity and accuracy.
• Creates, tests, and validates programs that generate data summaries and data listings for reports using statistical packages.
• Perform sample size calculations using existing software.
• Suggests appropriate analysis techniques.
• Creates, tests, and validates programs that perform statistical and graphical analyses.
• Assesses the validity of data analytic assumptions for the present data.
• Organizes, documents, maintains, and archives statistical analysis programs, data sets, and results.
• Under guidance, prepares data sets for public use and reporting to appropriate funding agencies following all guidelines.
• Assures data fit models required by the statistical methods.
• May analyze and report on methods and trends in data analysis techniques and apply them to data sets.
• Assists in the preparation of statistical analysis sections for research presentations and publications.
• May provide supervision over project specific tasks

Benefits

• Fringe benefit package including paid vacation; sick leave; health, dental, life and disability insurance options; and generous employer contributions into retirement plans.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 1,001-5,000 employees