Project Research Scientist I (Bioinformatics)

Ashoka University; Sonipat; On-site; INR 550,000 - 900,000; Full time

Job summary

Ashoka University is seeking a Project Research Scientist I to work on genomics and multi-omics analyses, applying statistical genomic methods to GWAS and genotype datasets. The role involves generating insightful visualizations, reports, and presentations for research discussions.

You will contribute to manuscripts, grant proposals, and conference abstracts while collaborating with clinicians, statisticians, and data scientists.

Qualifications

• MSc in Bioinformatics/ Biotechnology / Statistics / CS or BE/BTech in relevant field.
• GATE/NET or equivalent exam preferred.
• Experience: 0-2 years.

Responsibilities

• Perform bioinformatic analysis exploring multi-omics (proteomics, single-cell RNA) data.
• Apply statistical genomic methods involving GWAS summary data as well as individual-level genotype data.
• Generate high-quality visualizations, summary reports, and presentations for research discussions.
• Contribute to manuscripts, grant proposals, reports, and conference abstracts.
• Collaborate with interdisciplinary teams including clinicians, statisticians, and data scientists.
• Maintain structured documentation of code, datasets, and results using version control and best practices.
• Support ongoing grant-related research activities and project coordination when required.

Skills

UNIX command line tools

R or Python programming

Statistics

Education

MSc in Bioinformatics

MSc in Biotechnology

MSc in Statistics

MSc in Computer Science

B.E./BTech in a relevant field

Job description

We are looking for a Project Research Scientist I who has a quantitative bend of mind, interested in statistics and programming. The project involves investigating genomics and multi-omics data to identify shared immunopathogenic events in multiplex families (multiple affected individuals) with autoimmune diseases. Specifically, this individual will

• Perform bioinformatic analysis exploring multi-omics (proteomics, single-cell RNA) data
• Apply statistical genomic methods involving GWAS summary data as well as individual-level genotype data.
• Generate high-quality visualizations, summary reports, and presentations for research discussions.
• Contribute to manuscripts, grant proposals, reports, and conference abstracts
• Collaborate with interdisciplinary teams including clinicians, statisticians, and data scientists
• Maintain structured documentation of code, datasets, and results using version control and best practices
• Support ongoing grant-related research activities and project coordination when required

Qualifications

• MSc in Bioinformatics/ Biotechnology / Statistics / Computer Science or a B.E./BTech in a relevant field. GATE/NET or any equivalent exam (preferred).
• Experience: 0-2 years.
• Skills Required: Proficiency in UNIX command line tools; R or Python programming; Statistics.
• Desirable: Hands on experience in computational genomics involving handling DNA-sequence data.

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