Cincinnati Children's Hospital Medical Center - Research Careers

Research Jobs
at Cincinnati Children's Hospital Medical Center

Full Job Title: Molecular Cardiovascular Biology - BIOSTAT/EPI II

Job Number: 93247

Location: Cincinnati, OH

Date Posted: 7-13-2017

POSITION TITLE: BIOSTAT/EPI II DEPARTMENTS: Health Policy & Clinical Effectiveness, Heart Institute

SUPERVISOR'S TITLE: Assistant Professor, Associate Professor, Clinical Research Manager, Director Quality Data Center

TITLES SUPERVISED: NA

TOTAL NUMBER OF FTE's INDIRECTLY SUPERVISED: 0-2

This position in the Blaxall lab is for someonewith experience in software and pipelines related to single cell data analysisincluding SEURAT. This person has to be "proficient" in handling these kinds ofdata and familiar with different algorithms to get clustering, representations,pseudotime differentiation potential (Monocle), communication betweenpopulations, correlations of genes and transcription factors, etc. Also, he/shewould be able to compare data between different treatment to find differencesand cross–compare species (mouse, human). It would be a plus if he/she has someidea on handling non-coding genes (de novo identification, description, codingpotential, etc).


Responsibilities
·BIOSTAT RESPONSIBILITIES
Recognizes various epidemiologic, clinical or basic research study designs and the analysis implications of those designs. Calculates sample sizes for straightforward studies based on preliminary clinical data and planned analysis strategy, and provides descriptions of those sample size calculations for grants or IRB submissions. Prepares data files for analyses, including manipulating and exporting data from existing formats to statistical analysis program formats, and preparing a data dictionary. Writes scripts to enable checks on the database, including error checking for out-of-range data or potential data entry errors. Communicates with faculty supervisor regarding statistical issues, e.g., potential data entry error or variables that are out of range.
·OVERSIGHT OF STUDY DESIGN
Applies knowledge of study design to identify flaws in studies and suggest corrective changes, e.g., the lack of a proper control group. Recommends, based on knowledge and experience, appropriate statistical analyses, given the design of the studies. Serves as a resource to others determining the appropriate statistical methods for a study and in constructing databases.
·STATISTICAL ANALYSES AND PRESENTATION
Performs moderately complex statistical analyses, such as repeated measures analysis of variance. Develop macros to generate ongoing regular reports and charts which summarize results from on-going multi-site collaboratives. Acts as a resource in implementing new statistical software and obtains working knowledge of its capabilities. Prepares drafts of sections going into grant proposals. Prepares reports (e.g., subject recruitment, summary of safety data and interim analyses for Data Safety Monitoring Board) needed in large studies, especially those involving multi-sites.
·DATABASE DESIGN
Constructs moderately complex databases, in SAS or for studies with multiple visits. Writes code to perform quality control procedures on databases. Designs, constructs, maintain, and write development documentation.

Skills & Competencies
·Data Management - Advanced
Advanced knowledge of data management methodologies and technology
·Diversity Appreciation
Understanding and showing respect and appreciation for the uniqueness of all individuals; leveraging differences in others' perspectives and ideas; appreciating cultural differences and adjusting one's approach to successfully integrate with others who are different from oneself
·Database - Intermediate
Proficient with database software
·Programming - Intmd
Proficient in computer programming
·Professional Demeanor
Demonstrates an independent work initiative, sound judgment, diplomacy, tact and professional demeanor
·Communication
Excellent verbal, written and/or interpersonal communication skills
·Preferred
SQL, Visual Basic, and ACCESS

Required:
·Master's Degree
·3 years experience analyzing data

Preferred:
·Master's degree in statistics, biostatistics, epidemiology, quantitative analysis

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