Unipath Specialty Laboratory Bioinformatician Job Opening, Apply Now
Unipath Specialty Laboratory Bioinformatician Job Opening, Apply Now. MSc, MTech & PhD Bioinformatics job opening at Unipath Specialty Laboratory. Interested and eligible applicants can check out all of the details on the same below
Hey for those of you who are interested in applying for this Bioinformatician post at Sitero then make sure you check out all of the possible questions and the answers below
We at Unipath Specialty Laboratory are seeking a highly motivated and experienced bioinformatician to join our research team in Ahmedabad, Gujarat.
Expected Role:
Developing and implementing bioinformatics pipelines for the analysis of high-throughput
genomic and transcriptomic data sets.
Candidates fulfilling the following criteria can apply.
- MSC/M.Tech or PhD in Bioinformatics/Computer Science
- Minimum 3 years of experience in field of bioinformatics
- Experience of working with data generated from several NGS platforms like Illumina,
Pacbio, Nanopore and 10X - Good experience of working on analysis of different NGS research applications
including but not limited to whole genome sequencing, RNASeq, metagenome,
ChipSeq, Whole genome bisulphite sequencing. - Prior experience with HPC and skilled in shell scripting
- Proficiency in programming languages commonly used in bioinformatics (e.g. Python,
R, Perl) - Strong problem-solving and analytical skills
- Excellent communication and teamwork abilities
- Publications in reputable peer-reviewed journals
We are an equal opportunity employer and welcome applications from individuals of all backgrounds.
How to Apply – Interested applicants should submit a CV to [email protected] or can message me personally.
Hey for those of you who are interested in applying for this Bioinformatician post at Sitero then make sure you check out all of the possible questions and the answers below
- Can you describe your experience in developing and implementing bioinformatics pipelines for the analysis of high-throughput genomic and transcriptomic data sets? Answer: Yes, I have experience in developing and implementing bioinformatics pipelines for the analysis of high-throughput genomic and transcriptomic data sets. I have worked with data generated from several NGS platforms like Illumina, Pacbio, Nanopore and 10X, and have experience in analyzing different NGS research applications, including but not limited to whole genome sequencing, RNASeq, metagenome, ChipSeq, and Whole genome bisulphite sequencing.
- How do you handle large data sets and what tools and software do you typically use for data analysis? Answer: To handle large data sets, I have experience working with High Performance Computing (HPC) systems and I am skilled in shell scripting. I typically use programming languages commonly used in bioinformatics, such as Python, R, and Perl, and other bioinformatics tools and software for data analysis.
- How do you ensure the accuracy and quality of your bioinformatics analysis? Answer: I ensure the accuracy and quality of my bioinformatics analysis by following standard quality control and quality assurance procedures. I perform data normalization, normalization, filtering, and annotation, and perform statistical analysis to identify differential gene expression, differentially methylated regions, and enriched biological pathways. I also check the results against existing literature and public databases.
- Can you describe a challenging project you have worked on in bioinformatics and how you overcame the challenges? Answer: Yes, I worked on a project where we had to analyze transcriptomic data sets from multiple NGS platforms to identify novel genetic markers for a rare disease. The data sets were large, and we faced challenges with data preprocessing, normalization, and integration. To overcome these challenges, we collaborated with domain experts to refine the research question and used specialized tools and software for data processing and analysis.
- Can you discuss your experience with programming languages and software commonly used in bioinformatics? Answer: I have experience with several programming languages commonly used in bioinformatics, such as Python, R, and Perl. I am also proficient in using bioinformatics software, such as Bowtie, BWA, STAR, TopHat, Cufflinks, DESeq, edgeR, and so on. I stay updated with the latest developments in the field and continually seek to improve my skills through professional development and training.
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