Summary
Dr. Nisha Abilash Nair is a [hidden] in Biotechnology with over 7 years of research experience in cutting-edge biotechnology and bioinformatics. Her expertise spans laboratory-based techniques and computational tools, with a focus on pharmacogenomics and precision medicine. Proficient in Python, R, and MATLAB, she develops bioinformatics pipelines and conducts complex data analysis. She has led projects applying computational approaches to solve biological problems and is currently researching the Mpox virus using bioinformatics and CADD pipelines. Actively seeking roles aligned with her skills and research interests in bioinformatics and drug discovery.
Skills
Biotechnology Techniques
- DNA Amplification and Purification
- CRISPR Gene Editing
- Molecular Cloning (PCR)
- Plant Tissue Culture and Genetic Transformation
- UV Spectrophotometry, Gel Electrophoresis (Agarose, SDS-PAGE), and Western Blotting
- ELISA (Enzyme-Linked Immunosorbent Assay)
- Nanoparticle Tracking Analysis (NTA)
- Protein Purification and Quantification
- Drought Stress Analysis in Crops
Boinformatics Skills
- NGS Data Analysis
- RNA-seq, ATAC-seq, ChIP-seq, DNA-seq, Exome-seq, WGS, WES
- Single-cell RNA-seq
- Protein Sequence Analysis
- Tools: BLAST, Clustal Omega, HMMER
- Functional Annotation: ProtParam, Pfam, InterPro, SMART
Projects
Experience
Education
Awards & Achievements
Publications
Skills Keywords
Biotechnology Techniques, DNA Amplification and Purification, CRISPR Gene Editing, Molecular Cloning (PCR), Plant Tissue Culture and Genetic Transformation, UV Spectrophotometry, Gel Electrophoresis (Agarose, SDS-PAGE), Western Blotting, ELISA (Enzyme-Linked Immunosorbent Assay), Nanoparticle Tracking Analysis (NTA), Protein Purification and Quantification, Drought Stress Analysis in Crops, Boinformatics Skills, NGS Data Analysis, Protein Sequence Analysis, Genomics and Variant Analysis, Metagenomics, Phylogenetics and Evolutionary Studies, Visualization and Analysis Tools, Computer-Aided Drug Design (CADD), Machine Learning & AI Applications, Databases and Pipelines, Data Visualization & Analysis, Programming Languages, Cloud & Database Technologies
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Cover Letter:
Respected Hiring Team,
I am excited to apply for the Genome Analyst position at Medgenome. With a [hidden] in Biotechnology and over seven years of experience in bioinformatics across academic and industrial settings, I bring extensive expertise in NGS data analysis, bioinformatics pipeline development, and software tool optimization. My passion for integrating cutting-edge bioinformatics workflows with meaningful scientific discovery aligns seamlessly with your mission to advance genome analysis and NGS applications.
As Lead Domain Engineer at Persistent Systems, I developed and validated NGS data visualization tools using Python and automated bioinformatics workflows for genomic analysis, enhancing the efficiency of research pipelines. My proficiency in Perl, Python, SQL, and Shell scripting has enabled me to design robust solutions, including scripts to retrieve public databases and construct comprehensive knowledge bases. This hands-on experience is complemented by my ability to collaborate effectively with stakeholders to identify challenges and translate user requirements into actionable product deliverables.
Key highlights of my qualifications include:
NGS Expertise:
Comprehensive experience in developing workflows for RNA-seq, DNA-seq, and Exome-seq pipelines, utilizing tools like GATK, FreeBayes, and QIIME for variant calling, metagenomics, and data integration.
CADD and Structural Bioinformatics:
Proficient in protein-ligand docking using AutoDock, PyRx, and Schrödinger, as well as performing molecular dynamics simulations with GROMACS for therapeutic discovery.
Data Validation and Documentation: Skilled in ensuring the accuracy of bioinformatics analyses through rigorous data validation and producing supporting documentation for tools and pipelines.
Visualization and Analysis:
Adept in using visualization tools like Power BI, PyMOL, and Matplotlib to present complex datasets in intuitive formats.
Team Collaboration:
Demonstrated ability to collaborate with multidisciplinary teams in clinical and research environments, ensuring the successful delivery of bioinformatics solutions.
My expertise in pipeline optimization, algorithm development, and collaborative problem-solving positions me to contribute significantly to your team’s success.
I am enthusiastic about the opportunity to bring my skills and experience for , driving innovation in bioinformatics and contributing to impactful research and development. I would be delighted to talk more about how my background fits your needs.
Thank you for considering my application. Please find my resume attached for your review. I am available at your convenience for an interview.
Sincerely
Dr. Nisha Abilash Nair
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