Radhika Kaushik – Unlocking the Secrets of Genomics: Meet the Future Bioinformatics Expert

Radhika Kaushik

Date of Birth: 21 February 1996 | Address: D-14/140-141 Sec-3 Rohini, Delhi-110085

Objective:

To be part of a progressive organization which provides opportunities to implement and improve skills and knowledge for the growth of the organization in the field of Genomics and Bioinformatics. Holds Master’s Degree in Human Genomics from Panjab University.

Education

• [hidden] Human Genomics, Panjab University, Chandigarh | 2020
• [hidden] (H) Botany, Sri Guru Tegh Bahadur Khalsa College, Delhi University | 2017

Certifications & Training

• Bioinformatics Certification (Biotecnika)
• Coding for Biologists (Biotecnika)
• Advanced Post Graduate Diploma in Clinical Research & Clinical Data Management, Cliniminds Academy, Delhi
• AI & ML in Biology (Biotecnika) (ongoing)

Professional Contour

Intern, Think- I, Tenet Health Edutech Pvt. Ltd. | 2024

• Designed data collection tools and created structured Case Report Forms (CRFs).
• Processed documents in an Electronic Trial Master File (eTMF) system.
• Analyzed dummy protocols and clinical datasets.

Dissertation: “Is ADRB3 Gene a Potent Candidate for Essential Hypertension?” | 2020

Conducted literature review and gene-disease association studies.

Training

Institute of Nuclear Medicine and Allied Sciences (INMAS) – DRDO | Summer 2019

Conducted data analysis for hematopoietic stem cell research.

Technical & Analytical Skills

• Genomic Data Analysis: NGS data processing, variant calling, annotation (GATK, VEP, ANNOVAR)
• Bioinformatics Tools: BLAST, FASTQC, Galaxy, Bioconductor
• Programming & Scripting: Python, R, Shell scripting
• Machine Learning in Genomics: Data preprocessing, clustering, predictive modeling (Scikit-learn, TensorFlow)
• Statistical & Data Analysis: Regression models, hypothesis testing
• Database Management: genomic databases (dbSNP, ClinVar, Ensembl)
• Data Visualization: ggplot2, Matplotlib
• Clinical Data Management: Oracle Clinical

Extracurricular Activities

• Volunteered with Umeed – A Drop of Hope, spreading awareness on health and education
• NSS Member, organized blood donation drives and environmental workshops

Declaration: I hereby declare that the information provided above is true to the best of my knowledge.

Skills: Genomic Data Analysis, Bioinformatics Tools, Programming & Scripting, Machine Learning in Genomics, Statistical & Data Analysis, Database Management, Data Visualization, Clinical Data Management

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Cover Letter:

I am excited to apply for the Genomic Analyst position at MedGenome. With a Master’s degree in Human Genomics from Panjab University and hands-on experience in bioinformatics, clinical data management, and computational biology, I am eager to contribute my skills to your esteemed organization. During my academic and professional journey, I have developed a strong foundation in next-generation sequencing (NGS) data processing, variant annotation, and genomic database management. My experience with bioinformatics tools, coupled with my proficiency in Python, has allowed me to analyze complex biological datasets efficiently. Additionally, my ongoing training in AI/ML in bioinformatics is giving me hands-on experience on different biological datasets further strengthening my analytical capabilities. What excites me most about MedGenome is its commitment to advancing precision medicine through cutting-edge genomic research. I am particularly interested in leveraging my expertise in AI and machine learning in genomics to support MedGenome’s mission of delivering impactful healthcare solutions. I am eager for the opportunity to bring my analytical mindset and technical expertise to your team. I welcome the chance to discuss how my background aligns with your needs and how I can contribute to MedGenome’s innovative research. Thank you for your time and consideration. Best regards,