at University of Kansas Medical Center in Kansas City, Kansas, United States
Job Description
Research Data Analyst - Internal Medicine (Pulmonary)
Department:
SOM KC Internal Medicine - Pulmonary, Critical Care, and Sleep Medicine
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Pulmonary and Critical Care Medicine
Position Title:
Research Data Analyst - Internal Medicine (Pulmonary)
Job Family Group:
Professional Staff
Job Description Summary:
The Research Data Analyst in the Division of Pulmonary, Critical Care, and Sleep Medicine provides analytical and technical support for epigenetics research in the Cortese Lab. This position is responsible for managing, processing, and analyzing high-throughput sequencing data to support studies of DNA methylation and disease mechanisms. The role includes executing established analytical workflows, documenting procedures, and ensuring data quality and integrity.
Job Description:
Job Duties:
- Generate, Manage, and Process Epigenomic Data: Support the generation, preprocessing, and quality control of high-throughput sequencing datasets, including Whole Genome Bisulfite Sequencing (WGBS). Apply knowledge of DNA methylation chemistry and bisulfite conversion while utilizing R or Python (e.g., Bioconductor) and maintaining reproducible workflows with Snakemake or Nextflow and version control (Git).
- Analyze Single-Cell and Multi-Omics Data: Perform analysis of single-cell sequencing datasets (e.g., scRNA-seq) and integrate these with DNA methylation profiles to investigate cell-specific regulatory mechanisms. Use tools such as Seurat or Scanpy and apply dimensionality reduction techniques (e.g., UMAP, PCA) for high-dimensional data analysis.
- Execute Analytical Workflows and Ensure Data Integrity: Run and maintain established bioinformatics pipelines, ensuring accuracy, reproducibility, and consistency of results. Document analytical methods, parameters, and outputs in accordance with best practices.
- Perform Statistical Analysis and Biomarker Identification: Apply statistical inference and machine learning methods to analyze complex genomic datasets and identify epigenetic patterns associated with disease. Utilize public genomic resources such as TCGA, ENCODE, and GEO as appropriate.
- Validate Findings Across Datasets: Assist in validating results across independent cohorts and platforms by implementing robust and reproducible computational workflows.
- Data Visualization and Communication: Generate clear, publication-quality visualizations (e.g., heatmaps, Manhattan plots, UMAPs) and communicate findings to research team members, supporting manuscripts, presentations, and reports.
This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. It is only a summary of the typical functions of the job, not an exhaustive list of all possible job responsibilities, tasks, duties, and assignments. Furthermore, job duties, responsibilities and activities may change at any time with or without notice.
Required Qualifications:
Work Experience:
- Six (6) years of experience in Biostatistics, Statistics, Bioinformatics, Mathematics, Computer Science, Computational Biology, or related field. Education may be substituted for experience on a year for year basis.
- Experience on analysis of large epigenomics and single-cell datasets.
Preferred Qualifications:
Education: Master's degree in Bioinformatics, Computational Biology, Data Science, or a related quantitative field.
Work Experience:
- Two (2) years' experience with cloud or high-performance computing environments (AWS, GCP, Azure, or institutional clusters).
- Prior contribution to peer-reviewed publications as evidenced by application materials.
Skills:
- Scientific Communication
- Time Management
- Problem-Solving
Required Documents:
- Resume/CV
- Cover Letter
Comprehensive Benefits Package:
Coverage begins on day one for health, dental, and vision insurance and includes health expense accounts with generous employer contributions if the employee participates in a qualifying health plan. Employer-paid life insurance, long-term disability insurance, and various additional voluntary insurance plans are available. Paid time off, including vacation and sick, begins accruing upon hire, plus ten paid holidays. One paid discretionary day is available after six months of employment, and paid time off for bereavement, jury duty, military service, and parental leave is available after 12 months of employment. A retirement program with a generous employer contribution and additional voluntary retirement programs (457 or 403b) are available. https://www.kumc.edu/human-resources/benefits.html
Employee Type:
Regular
Time Type:
Full time
Rate Type:
Hourly
Compensation Statement:
The pay range listed for this position is determined by our compensation program using market data and salary benchmarking. A combination of factors is considered in making compensation decisions including, but not limited to, education, experience and training, qualifications relative to the requirements of the position, and funding. At the University of Kansas Medical Center, a reasonable estimate for the starting pay range will be the minimum to midpoint of the posted range, taking into account the combination of factors listed above.
Pay Range:
$29.23 - $43.85
Minimum
$29.23
Midpoint
$36.54
Maximum
$43.85
Application Instructions:
To learn more and apply online, please visit https://kumc.wd5.myworkdayjobs.com/en-US/kumc-jobs/job/Kansas/Research-Data-Analyst---Internal-Medicine--Pulmonary-_JR009787 or go to https://careers.kumc.edu/ and search for position number JR009787.
Applications must be submitted directly through the KU Medical Center website to be considered for this position. Any applications submitted via email or this website will NOT be reviewed or considered.
About KU Medical Center:
The University of Kansas Medical Centers mission is to educate exceptional health care professionals through a full range of undergraduate, graduate, professional, postdoctoral and continuing education programs in the schools of Medicine, Nursing and Health Professions. KU Medical Center also advances the health sciences through world-class research programs; provides compassionate and state-of-the-art patient care in an academic medical center environment; and works with communities in every Kansas county to improve the health of Kansans. Learn more at www.kumc.edu.
Benefits:
KUMC offers a range of great benefits that support employees and eligible family members. Our health insurance benefits begin on hire date and KUMC offers other exciting benefits such as paid parental leave, generous employer retirement contributions and other resources to improve health and well-being. For more information, please visit https://www.kumc.edu/human-resources/benefits.html
Equal Employment Opportunity Statement
The University of Kansas Medical Center is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, ethnicity, ancestry, age, protected veteran or disability status, marital status, parental status, or genetic information. http://policy.ku.edu/IOA/nondiscrimination
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