Bioinformatics Analyst

The Bioinformatics Analyst supports translational and basic science research by providing expertise in the analysis and interpretation of large-scale biological datasets. The position collaborates closely with faculty and trainees to design experiments, identify appropriate analytical approaches, interpret results, and support grant and manuscript preparation.

Department-Specific Responsibilities

• Processes and analyzes next-generation sequencing (NGS) data, including bulk and single-cell RNA sequencing, DNA sequencing, epigenomics, spatial transcriptomics, metabolomics, and other high-throughput data types
• Develops, optimizes, and maintains bioinformatics pipelines
• Performs statistical and computational analyses
• Integrates multi-omics datasets
• Generates reports, visualizations, and summaries for investigators
• Contributes to the development of bioinformatics tools and databases
• Ensures reproducible research practices, maintains documentation, and provides consultation and training to researchers

General Responsibilities

• 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
• Performs performance and reliability assessments to ensure systems are performing to maximum productivity and scientific validity
• Documents consultation, analysis, and quality control efforts
• Researches and stays up-to-date on emerging technologies/tools, trends, standards, and best practices related to bioinformatics

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

• Bachelor's degree (preferably in computer science, bioinformatics, biology, or a related field)

Preferred

• Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, Genetics, Biomedical Informatics, or a related field

WORK EXPERIENCE

Preferred

• Experience analyzing high-throughput biological data, including next-generation sequencing (NGS) and other omics datasets
• Experience analyzing transcriptomics, genomics, epigenomics, proteomics, metabolomics, single-cell, or spatial omics data
• Experience developing and maintaining reproducible bioinformatics pipelines and workflows
• Experience with bioinformatics tools, databases, and workflow management systems
• Experience with multi-omics data integration and machine learning approaches
• Experience supporting grant applications and scientific manuscript preparation
• Experience working in an academic medical center, research institute, or biotechnology environment

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

Preferred

• Strong programming, statistical, and communication skills
• Proficiency in programming languages such as R, Python, and/or Bash
• Experience working in Linux/Unix computing environments
• Familiarity with high-performance computing (HPC) environments, cloud computing platforms, and workflow management systems such as Snakemake or Nextflow
• Knowledge of statistical methods and data analysis techniques applicable to biological and biomedical research
• Strong analytical, problem-solving, and organizational skills
• Excellent written and verbal communication skills, with the ability to present complex analytical results to multidisciplinary research teams
• Ability to work independently and collaboratively in a fast-paced research environment
• Demonstrated record of scientific publications, conference presentations, or collaborative research projects
• Knowledge of data visualization tools and development of interactive web applications for data exploration

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.

Pulled from the full job description

• Paid parental leave
• AD&D insurance
• Health insurance
• Retirement plan
• Paid time off
• Health savings account
• Dental insurance, 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 and 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.

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.