Chelsea Sharma
Orlando,FL
Summary
Bioinformatics Scientist with 3 years of work experience and a strong foundation in computational biology, genomics, machine learning, immunology, and oncology. With a master’s degree in bioinformatics from Georgia Institute of Technology and clinical industry experience at Sanofi, equipped with skills to analyze complex biological sets, build pipelines and NGS workflows, and custom programming solutions. Proficient in proficient in programming languages like R, Python, bash, SAS, and other bioinformatics tools, enabling cross-functional collaboration with researchers in computational biology, immunology, and data science.
Overview
7
7
years of professional experience
Work History
Senior Associate Bioinformatician
Sanofi
02.2022 - 11.2024
- Performed data cleaning, analysis, and interpretation of CD4/CD8+ T cell exhaustion models to study the effects of immunotherapeutic drugs
- Analyzed the data in R studio using dplyr, tidyverse, ggplot2, and other packages
- Conducted data quality review pre/post-migration into LIMS, for data integration and accuracy validation achieving a 100% success rate in the data transfer
- Performed NGS data analysis using Deseq2, limma voom, and Array studio of reversed exhausted T cells
- Developed and implemented data harmonization protocols to standardize formats from flow and Luminex machine enhancing data consistency and increasing the turnaround time for analysis
- Supported PTE team to analyze data from human invitro innate assay readouts in R, Tableau, or GraphPad Prism FlowJo/OMIQ to evaluate cytokines, chemokines, and other flow cytometry biomarkers
- Built a predictive model to estimate donor requirements to optimize the donor selection process based on ten years of data records
- Created and maintained a QC database by integrating ten years of data records to streamline the process of donor selection for scientific experiments
- Utilized JMP for statistical analysis of Luminex and flow cytometry data of CD8 exhausted cells and PTE data
- Collaborated with team to develop machine learning model in MATLAB to predict vaccine reactogenicity and immunogenicity using human MIMIC system
- Worked as a key user for transition to Benchling for documentation, and reporting and assisted in template creation and back-end data integration with Tableau
- Recognized by senior leadership for contributions to data analysis and team collaboration efforts, improving data processes and operational efficiency.
Research Assistant
Georgia Institute of Technology
08.2021 - 12.2021
- Analyzed microbial diversity of Spartina alterniflora grass using 16s rRNA gene sequencing and amplicon analysis for taxonomic and functional results using R and Linux to evaluate its role in supporting the salt marshes
- Built a pipeline to analyze difference in microbiome of terrestrial vs wetland plants using multi-OMICS approach
- Built a pipeline for differentiation of genes in Spartina alterniflora to identify the role of microbes in shaping physiology
- Employed shotgun metagenomics approach to identify microbial communities associated with salt marsh soils and Spartina alterniflora microbiome
- Awarded Computational Biology Faculty GRA awards in Dec 2020 and Aug 2021.
Graduate Research
Georgia Institute of Technology
08.2020 - 12.2021
- Conducted linear regression model analysis using Sci-kit learn library and evaluated the performance of regression models and visualized the best model using KPIs to predict life expectancy using machine learning
- Implemented a classical methodology for drone grocery delivery using relational DBMS in localhost MySQL serve and created a website using Django
- Performed whole exome alignment by mapping FASTA reads to a human reference genome, produced a VCF file, and analyzed population frequencies using wAnnovar and gnomAD
- Researched the effects of point mutation using chimera and Swiss model
- Conducted single-cell RNA sequencing in RStudio using Seurat package to explain interferon response of B cells and T cells and severe COVID-19 patients
- Developed SNP variant calling pipeline by drafting bash script and integrating samtools mapping to variant call pipeline to produce a VCF file from FATSA reads.
Bioinformatics Intern
Siemen Healthineers
05.2021 - 08.2021
- Created pipeline to assess clinically significant mutations and variants using AWS cloud computing services
- Conducted in-silico analysis of primers and probes for developed assay of Sars-CoV2 to prevent future epidemics.
Summer Intern
National Fertilizer Limited
05.2018 - 08.2018
- Performed quality testing of urea sample and analyzed the size using one sample t-test and compared with industry standards and the plant-manufactured
- Conducted bacteriological examination of cooling water from cooling plants to analyze microbial composition and identify potential contaminants.
Education
MS in Bioinformatics -
Georgia Institute of Technology
Atlanta, GA12.2021
Bachelor of Science -
National Institute of Technology
India06.2019
Skills
- R
- Python
- C
- SQL
- SAS
- HTML/CSS
- AWS
- Github
- Scikit-learn
- TensorFlow
- MATLAB
- PyTorch
- Bioconda
- Bash/UNIX
- Shell
- Conda
- NextFlow
Websites
Timeline
Senior Associate Bioinformatician
Sanofi
02.2022 - 11.2024
Research Assistant
Georgia Institute of Technology
08.2021 - 12.2021
Bioinformatics Intern
Siemen Healthineers
05.2021 - 08.2021
Graduate Research
Georgia Institute of Technology
08.2020 - 12.2021
Summer Intern
National Fertilizer Limited
05.2018 - 08.2018
MS in Bioinformatics -
Georgia Institute of Technology
Bachelor of Science -
National Institute of Technology
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