Bioinformatics Jobs Bangalore – BaseSolve Informatics Pvt. Ltd Hiring
Bioinformatics Jobs Bangalore – BaseSolve Informatics Pvt. Ltd Hiring. PhD/Post-doc/M.Sc./M.Tech Bioinformatics, Informatics, Biology, and Genomics candidates apply for Sr Bioinformatics Scientist at BaseSolve Informatics Pvt. Ltd. Interested and eligible applicants can check out the details below and apply.
About the job
SENIOR BIOINFORMATICS SCIENTIST
Advert no. SB20125
BaseSolve is leading the transformation of Genomics Data Science Technologies. We specialize in providing intelligent solutions for the efficient analysis and management of Next Generation Sequencing data, enabling accurate insights for clinical diagnostics and scientific research.
Your Role
As a Bioinformatics Scientist; You will actively support our ongoing projects that include development, validation and implementation of data analytics, development of tools/ databases and research publications.
Functional/Technical Skills
- We are seeking candidates with the following skills and qualifications:
- Minimum of 3 years of experience in Genomics and Bioinformatics
- Proficiency in programming languages such as Python or Perl, as well as R
- Excellent understanding of various Next-Generation Sequencing (NGS) data from platforms like Illumina, PacBio, MGI, Ion torrent, 10X, and others
- Skilled in NGS data analytics, including variant calling, annotation, and interpretation
- Prior experience with Databases like gnomAD, ExAC, UKBiobank, TopMed, UCSC, 1000 Genomes, etc., and database management systems such as mySQL/ORACLE, MongoDb (highly desirable)
- Experience with cloud platforms and High-Performance Computing (HPC) is highly desirable
- A strong track record of peer-reviewed journal publications is a plus
- A team player with intellectual agility to deliver assigned tasks effectively
Education
PhD/Post-doc/M.Sc./M.Tech in a scientific discipline related to the responsibilities for this position (Bioinformatics, Computer Science, Informatics, Biology, Genomics). Interested candidates may write to [email protected].
Kindly mention the advert number in your cover letter and briefly highlight your skillsets and suitability for the position.
Job Location: Ahmedabad, Gujarat / Bengaluru, Karnataka, INDIA
Basesolve is an equal opportunity employer. We celebrate Unity in Diversity and are against any kind of discrimination based on gender, race, religion, color, caste or sexual orientation.
APPLY VIA YOUR LINKEDIN ACCOUNT
Possible Interview Questions for the Technical Round:
- Question: Can you describe your experience with Next-Generation Sequencing (NGS) data analysis, specifically on platforms like Illumina, PacBio, MGI, Ion torrent, and 10X? Answer: In my previous role, I worked extensively with NGS data from multiple platforms, including Illumina, PacBio, MGI, Ion torrent, and 10X. I have experience in handling raw data, performing quality control, and analyzing the data to identify variants and interpret results.
- Question: How familiar are you with variant calling and annotation? Could you explain the process and any challenges you’ve encountered during your previous projects? Answer: Variant calling involves identifying genetic variations from NGS data. I’m proficient in using tools like GATK or samtools for this purpose. The annotation step involves adding functional information to the variants. Challenges I’ve faced include dealing with low-quality reads, distinguishing true variants from noise, and managing large datasets efficiently.
- Question: Have you worked with databases like gnomAD, ExAC, UKBiobank, TopMed, UCSC, or 1000 Genomes? If so, how did you use these databases in your projects? Answer: Yes, I have experience working with gnomAD, ExAC, and 1000 Genomes databases for population-level variant analysis. These databases helped me in filtering common variants and identifying rare ones. Additionally, I used UCSC and other genomic databases to retrieve functional annotations for variants.
- Question: Can you discuss your experience with cloud platforms and High-Performance Computing (HPC)? How did you leverage these technologies for bioinformatics analysis? Answer: I have utilized cloud platforms like AWS or Google Cloud for scalability and cost-effectiveness in managing large datasets. HPC clusters were instrumental in parallelizing computationally intensive tasks, such as sequence alignment and variant calling, to speed up the analysis process.
- Question: Could you share an example of a challenging project you worked on and how you overcame technical obstacles to deliver successful results? Answer: One of the challenging projects I worked on involved rare variant identification in a complex disease. The dataset was vast and had high background noise. To address this, I optimized the variant calling parameters and applied stringent filtering criteria. Moreover, I collaborated with domain experts to validate the findings and achieved accurate results, leading to a successful publication.
Note: The answers provided are meant to be general examples. Candidates should tailor their responses based on their actual experiences and expertise in bioinformatics and genomics.
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