SIMRANJIT KAUR KANG

Indianapolis, Indiana ad32j4@r.postjobfree.com 317-***-**** https://www.linkedin.com/in/simranvirkkang/ https://github.com/SKVirk27/

https://observablehq.com/@simranjit-virk-ws/project2 EDUCATION

# Indiana University, Luddy School of Informatics, Computing, & Engineering, Indianapolis, IN Dec 2023 Master of Science in Bioinformatics

GPA: 3.925/4.00

Relevant Courses: Computational Analysis of High-Throughput Biomedical Data, Programming for Science Informatics, Applied Statistical Methods in Biomedical Informatics, Machine Learning in Bioinformatics, Biological Database Management, Genomic Data Analysis & Precision Medicine(, Visualization Design Analysis & Evaluation, Project Management. Key Project: Alzheimer's Disease Gene Expression Mapping at cellular level.

# Panjab University, Chandigarh, India

Master of Science in System Biology and Bioinformatics & Proteomic May 2014 Bachelor of Science in Bioinformatics May 2012

Relevant courses – Molecular Biology, Genetics, Computer languages, Biochemistry, Computational analysis, Immunology TECHNICAL SKILLS

Bioinformatics: NGS, RNA-seq, variant calling, genotyping, biomarker discovery, DGE, GSEA, detailed knowledge of immunoprecipitation-based methods.

Programming: C++, Python, R, Bash, SQL(Relational databases),NOSQL. Computing Platforms: Linux, Slurm, AWS, Google Cloud, Docker and HPC, Nextflow. Web Development: HTML, CSS

Data Analysis: Machine learning, PCA, QC, statistical regression Data Visualization: ggplot2, Seaborn, Tableau, D3.js, Observable Databases & Tools: GEO, Ensemble, KEGG, PDB, UCSC Genome Browser, NCBI, TCGA, NIH, FastQC, HISAT2, DESeq2, Galaxy, plink, Bowtie, Samstools, STAR,HISAT .

Project Management: Informatics, project lifecycles. Biological Sciences: Molecular biology, genetics, cell biology, plant biology, biochemistry, proteomics Laboratory Skills: Knowledge of DNA/RNA extraction, PCR, qPCR, electrophoresis, HIPPA. WORK EXPERIENCE

Indiana University Indianapolis, IN Jan 2022 – Dec 2023 Research Assistant, Genomic Lab

• Optimized single-cell RNA-seq analysis with Seurat, enhancing genomic workflow efficiency.

• Utilized Bioconductor and high-performance computing for data analysis, contributing to genomic research advancements.

• Managed and analyzed genomic datasets, integrating single-cell and GWAS data to elucidate genetic variations, supported by Python and R.

• Developed and disseminated bioinformatics pipelines on GitHub, fostering collaboration and open science. Research Assistant, Cardiovascular Lab

• Led Mendelian Randomization studies using R, advancing understanding of MMPs in heart disease.

• Created precision bioinformatics workflows by integrating GTEx and GWAS data, analyzed NIH's "All of Us" genetic data for insightful visualizations.

• Co-authored a cardiovascular genetics manuscript, under peer review, and developed scalable analysis pipelines on Google Cloud in allowed persistent disk.

Nath Outsourcing Solutions Pvt. Ltd. Punjab, India Oct 2014 – May 2019 Team Leader (Medical Billing) US Healthcare

• Led a team in healthcare data management, applying data analysis techniques within Excel and SQL databases. ACHIEVEMENT

• Awarded for research distinction in NIH's 2023 DataWiz Program; delivered significant data analysis, presented at an esteemed academic forum.

PROJECT EXPERIENCE

Indiana University, Indianapolis, IN

Project #1 – Predicting Cardiovascular Disease Risk with Machine Learning Jan 2023 - May 2023

§ Tools: R, Python, Machine learning, NHANES (lab and survey data), Imputation, seaborn.

§ Utilized machine learning to assess environmental factors influencing cardiovascular risk from NHANES data. Project #2 – Comprehensive SARS-CoV-2 Genomic Analysis Sep 2023 – Dec 2023

§ Tools: FASTQC, SPAdes, Bowtie2, Samtools, BCFtools, SnpEff, VCF. Genome annotation tools, Docker.

§ Performed genomic analysis of SARS-CoV-2 to understand viral behavior in cell culture. Project #3– Integrative Mapping from GWAS SNPs to Gene Expression in Alzheimer's Disease Sep 2023 - Dec 2023

§ Tools: Seurat, R packages,Python, GWAS, Gene expression, Data integration, bedtools, SQL,RNA.

§ Mapped GWAS SNPs to scRNA-seq data to explore gene expression in Alzheimer's pathology.

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