Amulya Rao T – Unveiling the Future of Medicine: A Bioinformatics Expert’s Journey Through Drug Discovery and Personalized Healing

Amulya Rao T

PROFESSIONAL SUMMARY

Driven and detail-oriented bioinformatics student with dual MS degrees in Biotechnology and Cellular & Molecular Medicine. Specialized in utilizing bioinformatics tools and next-generation sequencing (NGS) workflows for data analysis in drug discovery and personalized medicine. Proficient in bioinformatics software like MEGA, Pyrx, and Swiss ADME, with complementary knowledge of molecular biology techniques and pharmacokinetics. Passionate about applying big data analysis to advance clinical trials and therapeutic innovations.

SKILLS

• Bioinformatics Tools: NGS pipelines, Pyrx, Swiss ADME, ProTox, MEGA, EMBOSS Needle and EMBOSS Water, BLAST, Molecular Docking, Microarray using GEO2R
• Programming & Data Analysis: Proficient in Python, R and GraphPad Prism
• Molecular Biology Techniques: PCR, DNA/RNA extraction, gel electrophoresis, ELISA
• Lab Equipment: Spectrophotometer, Centrifuge, pH meter, Laminar Air Flow
• Software Proficiency: MS Office Suite (Word, Excel, PowerPoint)
• Languages: English, Hindi, Kannada, Telugu

PROFESSIONAL EXPERIENCE

Bioinformatics Intern- Bionome

Sep 2024 – Present

• Developed phylogenetic trees using MEGA to analyze evolutionary relationships, improving interpretation of bioinformatics data.
• Utilized Swiss ADME and ProTox to predict pharmacokinetics and toxicity profiles for bioactive compounds.
• Conducted molecular docking for 15 protein-ligand pairs using Pyrx, identifying 2 high-potential drug candidates.
• Understanding and optimizing NGS workflows, achieving an improvement in data processing accuracy with conda environment.

Research Intern – Vipragen Biosciences (DMPK and Discovery Department)

Jan 2024 – May 2024

• Analyzed pharmacokinetic data with Phoenix WinNonlin, generating key insights into drug efficacy and absorption profiles.
• Conducted syngeneic tumor model studies and anti-inflammatory research, contributing to drug development insights.
• Collaborated on rodent behavioral studies, developing and understanding methodologies for more precise results in preclinical trials.

PROJECTS

Assessment of acute inflammatory model and syngeneic tumor model using rodents

MSc Dissertation Project, Vipragen Biosciences

• Evaluated anti-inflammatory effects of dexamethasone using carrageenan-induced paw edema models.
• Investigated tumor progression and therapeutic interventions in rodent models, contributing to oncology research.

EDUCATION

• MSc in Biotechnology, Amrita Vishwa Vidyapeetham, 2022 – 2024 | CGPA: [hidden]
• MS in Cellular and Molecular Medicine, The University of Arizona, 2022 – 2024 | GPA: [hidden]
• BSc in Chemistry, Microbiology, Biotechnology, Jain University, 2019 – 2022 | CGPA: [hidden]

CERTIFICATIONS & WORKSHOPS

Certifications

• Drug Discovery and Industrial Biotechnology | Coursera
• Introduction to Clinical Research | Udemy

Workshops

• Primer Designing | NextGen Life Sciences
• Designed primers using Primer3plus and web-based tools.

KEYWORDS: Bioinformatics Tools, NGS, Pyrx, Swiss ADME, ProTox, Molecular Biology Techniques, PCR, Python, R, Spectrophotometer, MS Office Suite

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Cover Letter:

Dear sir/mam,

I am excited to apply for the Genome Analyst position at MEDGENOME. With dual MS degrees in Biotechnology and Cellular & Molecular Medicine, I have developed a strong foundation in bioinformatics, next-generation sequencing (NGS), and pharmacokinetics, which I am eager to apply in a clinical research setting also.

During my internship at Bionome, I learned extensively with NGS workflows, molecular docking, and bioinformatics tools like MEGA, Pyrx, and Swiss ADME to analyze pharmacokinetic properties and identify potential drug candidates. Additionally, my research experience with rodent behavioral models and syngeneic tumor studies has provided me with hands-on exposure to preclinical research methodologies. These experiences have strengthened my ability to analyze clinical data, collaborate with cross-functional teams, and contribute to evidence-based drug development.

I am particularly drawn to [Company Name] because of its commitment to high-quality genome analysis and innovative therapeutic solutions. My ability to manage data, generate insights, and effectively communicate findings aligns well with the responsibilities of this role. I am eager to bring my data analysis expertise, research skills, and attention to detail to your team.

I have attached my resume for your review, and I welcome the opportunity to discuss how my background aligns with your needs. Thank you for your time and consideration. I look forward to your response.