Pioneer the emerging field of cardioinformatics by working together with computational genetics experts and team of scientists to design and implement bioinformatics and computational biology approaches to analyze human genomic data and drive discoveries in public health, with a focus on biostatistical methods, database development (e.g., HeartBioPortal), AI/machine learning approaches (e.g., causal inference methods), and instrumental variable analysis techniques (e.g., Mendelian Randomization) directly relevant to heart health and disease and its applications to drug discovery. Cardiovascular disease is the leading cause of death worldwide, causing over 17 million deaths per year.

Basic Qualifications:

Background in biological and/or quantitative sciences; PhD and/or previous post-doctoral experience in genetics, statistical genetics, genetic epidemiology, or related computational discipline.
Sound statistical and quantitative skills, with knowledge of epidemiological principals and population-based research.
Interest in gaining hands-on experience working with very large genomic datasets, multi-omics, and integrative bioinformatics strategies, with a special focus on Mendelian randomization techniques.
Previous publication record in either: next-generation sequencing (NGS) methods, biostatistics methodologies, cardiovascular/renal/metabolic disease, and/or bioinformatics or computational biology pipelines.
Experience working with large-scale genomic data (e.g., RNA-seq, ChIP-seq, single cell-seq, ATAC-seq, genotype data, etc.).
Desire to apply your skills in genomics analysis to utilize bioinformatics methods (e.g., from Bioconductor) to understand the biology of cardiovascular disease phenotypes (e.g., using R packages such as 'bimmer', an approach for inferring causal networks over many traits using Mendelian randomization).
Comfortable writing code in languages like R or Python for bioinformatics analysis and/or proficiency in Unix shell scripting.

Familiarity/experience/interest with JavaScript programming, frontend frameworks (e.g., Vue.js, React.js, etc.), or various NGS algorithms (e.g., Bowtie, BLAST, PLINK, etc.) for database development is a plus but not strictly required

As the state's premier urban research institution, IUPUI is committed to being a welcoming campus community that reflects and enacts the values of diversity, equity and inclusion that inform academic excellence. We seek candidates who will not only enhance our representational diversity but whose research, teaching, and community engagement efforts contribute to diverse, equitable, and inclusive learning and working environments for our students, staff, and faculty. IUPUI condemns racism in all its forms and has taken an anti-racist stance that moves beyond mere statements to interrogating its policies, procedures, and practices. We hope to identify individuals who will assist in our mission to dismantle racism so that everyone has the opportunity to succeed at IUPUI.

Department Contact for Questions:

Dr. Bohdan Khomtchouk – bokhomt(at)iu.edu

OAA #: IU-100053-2022

Appointment Status: Non-Tenure Track

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About Indiana University Purdue University Indianpolis (IUPUI)

IUPUI, a partnership between Indiana and Purdue universities, is Indiana’s urban research and academic health sciences campus. IUPUI’s mission is to advance the state of Indiana and the intellectual growth of its citizens to the highest levels nationally and internationally through research and creative activity, teaching and learning, and civic engagement. By offering a distinctive range of bachelor’s, master’s, professional, and Ph.D. degrees, IUPUI promotes the educational, cultural, and economic development of central Indiana and beyond through innovative collaborations, external partnerships, and a strong commitment to diversity.

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