50 Research Associate Infectious Diseases
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Job Summary
BASIC FUNCTION
The Research Assistant Computational Scientist supports research efforts in Dr. Priya Issuree laboratory which studies epigenetic mechanisms of gene regulation in immune cells. This position will provide computational support by analyzing experiments across laboratory projects and will require analysis organization and interpretation of both newly generated and existing genomic datasets and using computational tools to perform integrated and multimodal data analyses under the PIs supervision. This role involves the development implementation and maintenance of computational pipelines; application of statistical tests and rigor to generation of integrative models of gene function in immune cells. The RA will work closely with scientists trainees and collaborators and will contribute to study design data interpretation visualization and dissemination. The position may also support data infrastructure efforts including computational tools that enhance data sharing reproducibility and discovery.
KEY AREAS OF RESPONSIBILITY
Computational and Bioinformatic Analysis:
Perform bioinformatic analyses (scRNA-Seq ATAC-Seq Cut and Tag DNA methylation) based upon protocols developed by the principal investigator of the research project.
Perform combinatorial/multimodal bioinformatic analyses and appropriate statistical analyses and generate graphical outputs to visualize findings.
Use multimodal datasets to develop new hypotheses and generate avenues for biological validation and testing by other team and lab members with assistance from the PI
Generate figures summaries and visualizations for manuscripts presentations grant applications and internal reports.
Data management analysis and compliance:
Proper documentation of bioinformatic codes used for different projects and establish a systematic approach to easily locate analyze and store data.
Develop and rigorously test new pipelines as necessary and ensure methods used are scientifically sound
Assist in preparing documentation of computational methods for publications and regulatory or funding requirements as directed by the Principal Investigator
Develop independence in troubleshooting analysis and propose modifications to protocols; present results at team meetings and meet with collaborators as needed.
Adhere to safety and compliance guidelines in the laboratory.
Adhere to Quality Assurance protocols to maintain the validity and integrity of research data.
Administrative and Project Management:
Assist with manuscript and grant preparations under PIs supervision
Track various indicators of project progress and summarize in reports to the research team. Prepare data/ project updates and results for discussion at weekly meeting with PI.
Facilities and Equipment Management:
Assist in the maintenance of cloud servers and external servers used for data storage at the university
Ensuring proper functioning of all hardware and software needed for data analysis and storage
REQUIRED QUALIFICATIONS
Bachelors degree in computational biology Bioinformatics Data Science Biostatistics Computer Science Biomedical Engineering or a closely related quantitative or lifescience field or equivalent combination of education and progressively responsible experience in a research laboratory environment is required
Experience performing computational analysis of highthroughput biological data such as singlecell RNA sequencing (scRNAseq) and ATAC Seq
Proficiency in at least one programming language commonly used in computational biology (e.g. R and/or Python).
Working knowledge of standard bioinformatic workflows including data quality control normalization statistical analysis and data visualization.
Ability to follow established computational pipelines and analytical protocols under general supervision.
Strong attention to detail and ability to document computational methods code and results.
Effective written and verbal communication skills including the ability to explain computational results to collaborators with varied scientific backgrounds.
Ability to work collaboratively as part of a multidisciplinary research team and manage multiple projects simultaneously.
DESIRED QUALIFICATIONS:
Prior experience with integration of multimodal datasets (e.g. transcriptomic epigenomic data).
Basic experience applying machine learning or predictive modeling approaches to biological data.
Experience developing or contributing to reproducible workflows using version control systems (e.g. Git).
Experience generating publicationquality figures and contributing to manuscripts abstracts or grant applications.
Masters degree in computational biology Bioinformatics Data Science Biostatistics Computer Science Biomedical Engineering or a closely related quantitative or lifescience field.
Position and Application Details:
In order to be considered for an interview applicants must upload the following documents and mark them as a Relevant File to the submission:
- Resume
- Cover Letter
Job openings are posted for a minimum of 7 calendar days and may be removed from posting and filled any time after the original posting period has ended.
Successful candidates will be required to self-disclose any conviction history and will be subject to a criminal background check and credential/education verification. Up to 5 professional references will be requested at a later step in the recruitment process.
For additional questions please contact
Required Experience:
IC
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The University of Iowa is a top-tier public research university in Iowa City—home to more than 32,000 students, offering world-class programs across 200+ fields of study, renowned especially for its creative writing, acclaimed medical center, and balanced excellence in the arts and sc ... View more
