Sr. Bioinformatics Scientist

3 weeks ago

Bengaluru Karnataka India, Karnataka Elucidata Full time

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 Senior Bioinformatics Scientist to lead and execute complex analyses of large-scale human genomics and multi-omics datasets. This individual will design and deliver integrative analyses across single-cell, spatial transcriptomics, and genetics data, helping translate high-dimensional biological data into actionable insights. The ideal candidate combines strong quantitative skills with biological intuition and enjoys collaborating with multi-disciplinary teams to deliver high-impact solutions.Key Responsibilities: Lead the analysis and interpretation of large-scale single-cell, spatial, and bulk transcriptomic data sets across diverse disease areas.Design and execute integrative workflows combining genetics, transcriptomics, and epigenomic data to derive mechanistic insights.Perform curation, QC, and harmonization of large public or proprietary omics datasetsApply state-of-the-art methods for gene/variant prioritization and functional annotation using multi-omic evidence.Mentor junior scientists and provide subject-matter expertise on statistical/computational genomics approaches.Collaborate with engineering teams on pipeline design, reproducibility, and deployment on cloud infrastructures.Communicate findings clearly to internal and external stakeholders.QualificationsPhD (with 2+ yrs experience) or Master’s (with 4–6 yrs experience) in Bioinformatics, Statistical Genetics, Computational Biology or related field.Hands-on experience with analysis and integration of single-cell and/or spatial transcriptomics datasets.Proficiency in Python or R for high-dimensional data analysis. If proficient in R, there should be sufficient familiarity with python to be able to work with python tools/pipelines.Demonstrated ability to independently design and deliver bioinformatics analyses.Excellent communication and collaboration skills.Good-to-have:Some past experience with GWAS analysis and toolsExperience developing or extending bioinformatics workflows (Nextflow, Snakemake, CWL).Familiarity with cloud computing (AWS) and containerized environments.

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