Sr. Bioinformatics Scientist

1 week ago

Bengaluru, India 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 datasets
- Apply 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.
Qualifications
- PhD (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 tools
- Experience developing or extending bioinformatics workflows (Nextflow, Snakemake, CWL).
- Familiarity with cloud computing (AWS) and containerized environments.

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