Bioinformatics Scientist

5 days ago


Bengaluru, India Elucidata Full time

Job Title: Bioinformatics Scientist Function: Delivery Location: Delhi/Bangalore(3 days in office) About the Company: Elucidata is a TechBio Company headquartered in San Francisco. Our mission is to unleash personalized medicine using AI and multi-omics, multimodal data. Elucidata’s platform Polly, helps research teams wrangle, store, manage and analyze large volumes of biomedical data. We are at the forefront of driving AI in personalized medicine R&D across companies like Pfizer, Janssen, Owkin and many more. We were recognised as the 'Most Innovative Biotech Company, 2024', by Fast Company. We are a 120+ multi-disciplinary team of experts based across the US and India. In September 2022, we raised $16 million in Series A round led by Eight Roads, F-Prime, and our existing investors. About the Role: We are seeking a Bioinformatics Scientist to curate, harmonize, annotate, and analyze large-scale biological datasets. This role focuses on high-quality data integration and baseline analysis of multi-omic data, especially GWAS/variant data to enable systematic exploration of disease biology. The ideal candidate enjoys working with complex data, applying rigorous QC, and producing reproducible, well-documented outputs. Key Responsibilities: - Identify, curate, and harmonize large genomic, transcriptomic and other multi-omics datasets using standardized vocabularies and schemas. - Perform QC and integrity checks; maintain clear provenance and reproducible processing. - Conduct baseline comparative analyses of cell types/states and pathway enrichments across datasets. - Deliver harmonized datasets, annotated objects, and analysis outputs with thorough documentation. - Collaborate closely with senior scientists and engineering teams to improve workflows and analysis strategies. Qualifications - Master’s (with 2–4 yrs experience) or PhD (with 0–2 yrs experience) in Bioinformatics, Computational Biology, or related field. - Proven expertise in multiomic data processing - Experience working with GWAS datasets, including associated downstream analysis tools. - Proficiency in Python or R for data wrangling and analysis. If proficient in R, there should be sufficient familiarity with python to be able to work with python tools/pipelines. - Excellent attention to detail, documentation, and reproducibility. - Strong collaboration and communication skills. Good-to-have: - Familiarity with human genetics or immunology. - Exposure to AWS/cloud-based data transfer and workflows.



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