Research Fellow - Statistical Genetics

Cincinnati Childrens Hospital Medical Center   •  

Cincinnati, OH

Not Specified years

Posted 265 days ago

This job is no longer available.

Research Fellow- Statistical Genetics

PURPOSE OF POSITION: To learn to conduct independent research and support the independent research of others in a Medical Center dedicated to the care of infants, children, and adolescents.
We are looking a candidate with PhD in bioinformatics, computational biology or statistical genetics, who will be involved in the analysis of cutting-edge high-throughput omics (genomics, transcriptomics, epigenomics, microbiome) and clinical data generated from allergic disease patients.
Key Functions include:
• Integration omics results including genome, transcriptome, microbiome, and epigenome results with clinical and environmental exposure datasets.
• Participate in development and testing statistical methods for omics and clinical datasets

Responsibilities
·Perform analysis and experiments
Design, execute, and record analysis and experiments; apply standard scientific protocols to research, and improve current methods and evaluate innovative techniques. Develop and implement human subject research protocols, vertebrate animal research protocols and design experimental procedures and documentation in accordance with the relevant laws and regulations. Prepare, clean and analyze data. Maintain optimal protocol and accuracy by conducting regular quality and reproducibility checks.
·Communicate results/findings
Draft, write, and edit scientific reports, papers, journal articles, and abstracts. Present information on research and department work to others at department meetings, journal clubs, and seminars. Present results and discuss relevant insights with Faculty and provide useful recommendations and analysis.
·Innovate and advance departmental capabilities
Independently reproduce, evaluate, research, and improve techniques currently used. Adapt new methods to existing procedures and modify current analysis/experiments through scientific knowledge and intuition. Maintain accurate and detailed records of all analysis and experiments. Develop, set-up, and verify new procedures in the department. Standardize and establish new published procedures; evaluate innovative techniques. Develop new protocols; design formats. Maintain an integral role in the department's meetings, presentations, and publications. Troubleshoot and correct erroneous results or problems with department software/equipment. Maintain and repair software/equipment; monitor proper use by personnel.
·Financial/Budgeting
Assist in preparing grant applications. Assist in preparing, writing, and maintaining fiscal budget. Monitor expenditures and prepare capital expenditure requests. Prepare, approve, and initiate check requests; track funding, maintain accurate balance, and resolve any discrepancies.
·Staff Leadership
May provide day-to-day functional leadership for a team or directly manage a minimal number of support staff. Establishes team goals. Gives input into, and performs employee performance reviews. Oversees and guides work assignments. Serves as the functional expert and provides guidance to the team.
·Education and Training
May serve as course master and develop new courses at the undergraduate and graduate level, including appropriate plans for evaluating student performance; may deliver lectures as a guest lecturer in courses organized by other faculty. Assist in the training of new employees. Serve as a resource and/or mentor to coworkers. Assist in the development and presentation of department training. Identify training needs and provide necessary coaching.

Required: ·Ph.D. in bioinformatics, computational biology or statistical genetics or a related discipline A strong background in genomics, computational biology, and/or statistics as well as experience in high-throughput integrative analyses of different types of NGS data, extensive scripting and programming knowledge, data visualization is required. The ideal candidate will have: an interdisciplinary background in bioinformatics and computational biology and genomics; advanced expertise in the analysis and interpretation of microbiome data and its integration with other "omics" data sources, including genetic variants, gene expression and epigenetics; good programming skills; and advanced knowledge of statistical and machine learning methods.

Job Number: 96081