Department
MMGE - HEREDITARY GENOMICS DIV (IN-HGN-IUINA)
Department Information
One of the first human genetics departments in the country, the Department of Medical and Molecular Genetics at Indiana University (IU) School of Medicine has a rich history of training geneticists and genetic counselors and providing genetic consultation and counseling services. Currently ranked fifth in the nation among Genetics Departments for National Institutes of Health (NIH) Funding, received in 2023, the department contributes to the understanding of numerous genetic conditions through the integration of basic research in genetic and genomic mechanisms, translational research in disease models, and clinical trials in rare and common genetic diseases.
Job Summary
The Bioinformatics Analyst supports genetic research studies by managing large datasets and conducting automated and manual genetic analyses.
Department-Specific Responsibilities
- Installs, configures, customizes, and supports analytical software.
- Develops software, scripts, and workflows for researchers.
- Works with investigators, postdoctoral fellows, and students to assess project needs and recommends appropriate analyses based on study protocols and applicable standards for research data.
- Reviews, interprets, and summarizes results; presents findings; and contributes to grant applications and manuscript preparation.
- Processes and analyzes whole-genome sequencing (WGS) and genotyping array data using established bioinformatics pipelines in a cloud computing environment.
- Performs data quality control (QC), reviews QC metrics, and identifies and troubleshoots routine data processing issues.
- Prepares and delivers raw and quality-controlled genomic data and associated results to collaborators in accordance with established procedures and data standards.
- Maintains clear and detailed documentation of data processing workflows, analysis methods, QC procedures, and data deliverables to support reproducibility and effective collaboration.
- Communicates with collaborators to clarify data and analysis requirements, answers technical questions, and provides guidance on data files, QC results, and analysis outputs.
- Works with team members to improve bioinformatics workflows, documentation, and data processing efficiency.
- Performs genetic analyses using established bioinformatics and statistical methods, including analysis of whole-genome sequencing, genotyping array, transcriptomics (single cell and bulk), proteomics, and other omics data.
- Develops and maintains scripts and workflows for data processing, quality control, analysis, and visualization.
- Works with investigators, postdoctoral fellows, and students to understand research objectives, determines appropriate analytical approaches, and reviews and interpret results.
- Prepares and presents analytical results, figures, and reports; contributes bioinformatics methods and results to grant applications and manuscripts.
- Maintains clear documentation of analytical methods, workflows, and results to support reproducibility.
- Installs, configures, maintains, and troubleshoots bioinformatics and analytical software in local and cloud computing environments.
- Configures and maintains computing environments, analytical pipelines, and related bioinformatics resources to support research projects.
- Develops and maintains databases and data management workflows for genomic and research data.
- Provides technical support to researchers on bioinformatics software, computing resources, data access, and analytical workflows.
- Evaluates and implements appropriate software tools and computational solutions to improve the efficiency and reproducibility of research analyses.
General Responsibilities
- Provides experienced consultation and employs a variety of computational sequence analysis (mathematical and computing) tools to model and analyze biological data in support of researchers.
- Accesses, extracts and prepares data for analysis, including combining data run on multiple platforms as well as externally generated data in support of meta-analyses.
- Installs, configures, customizes, and supports analytical software for data on research clusters; develops software and programming scripts for software and workflow systems utilized by researchers.
- Undertakes performance and reliability assessments to ensure systems are performing to maximum productivity and scientific validity; participates in ongoing evaluation of new software, systems, approaches, and emerging technologies.
- Documents consultation, analysis, and quality control efforts; may contribute to grant and report writing.
- Researches and stays up to date on emerging technologies/tools, trends, standards, and best practices related to bioinformatics.
Qualifications
Combinations of related education and experience may be considered. Education beyond the minimum required may be substituted for work experience. Work experience beyond the minimum required may be substituted for education.
EDUCATION
Required
- Bachelors degree (preferably in computer science, bioinformatics, biology, or a related field).
Preferred
- Masters degree in bioinformatics, computational biology, systems biology, genetics, or statistics.
WORK EXPERIENCE
Required
- 2 years of research technology support, large biological data analysis, or related experience.
SKILLS
Required
- Proficient written and verbal communication skills.
- Maintains a high degree of professionalism.
- Demonstrated time management and priority setting skills.
- Demonstrates a high commitment to quality.
- Possesses flexibility to work in a fast-paced, dynamic environment.
- Seeks to acquire knowledge in area of specialty.
- Highly thorough and dependable.
- Demonstrates a high level of accuracy, even under pressure.
Preferred
- Strong programming skills.
Working Conditions / Demands
This role requires the ability to effectively communicate and to operate a computer and other standard office productivity equipment. The position involves sedentary work as well as periods of time moving around an office environment and the campus. The person in this role must be able to perform the essential functions with or without an accommodation.
Additional Information
This position is not eligible for visa sponsorship.
Work Location
Indiana University Indianapolis
Indianapolis, Indiana
This position is eligible for a hybrid schedule (mix between remote and in-person work), subject to change in the future based on university policy and business needs.
Advertised Salary
$67,098.32 - $77,098.32 per year based on experience and internal equity within the department.
Benefits Overview
For full-time staff employees, Indiana University offers a wide array of benefits including:
- Comprehensive medical and dental insurance
- Health savings account with generous IU contributions
- Healthcare and dependent care flexible spending accounts
- Basic group life insurance paid by IU
- Voluntary supplemental life, long-term disability, critical illness, and supplemental accidental death & dismemberment insurance
- Base retirement plan with generous IU contributions, subject to vesting
- Voluntary supplemental retirement plan options
- Tuition subsidy for employees and family members taking IU courses
- 10 paid holidays plus a paid winter break each year
- Generous paid time off plans
- Paid leave for new parents and IU-sponsored volunteer events
- Employee assistance program (EAP)
Learn more about our benefits by reviewing the IU Benefit Programs Brochure.
Job Classification
Career Level: Career
FLSA: Exempt
Job Function: Information Technology
Job Family: Data Analysis & Engineering
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Posting Disclaimer
This posting is scheduled to close at 11:59 pm EST on the advertised Close Date. This posting may be closed at any time at the discretion of the University, but will remain open for a minimum of 5 business days. To guarantee full consideration, please submit your application within 5 business days of the Posted Date.
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Equal Employment Opportunity
Indiana University is an equal opportunity employer and provider of ADA services and prohibits discrimination in hiring. See Indiana University Notice of Non-Discrimination here which includes contact information.
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