Applications are invited for the role of Bioinformatics Scientist at Elucidata. Apply Now!
About Elucidata
Even today Early R&D, Precision Diagnostics and Translational Biomarker teams spend about 80% of their time wrangling data. Elucidata’s mission is to empower scientists in the life sciences field by reclaiming every valuable hour for their research endeavors.
Elucidata’s data harmonization platform – Polly, helps research teams make multi-modal biomedical data Machine Learning ready. Each dataset on Polly is processed consistently using pipelines of your choice, is custom curated with granular annotations and undergoes robust QA/QC checks to ensure highest data quality standards.
Polly transforms multi-modal and multi-source biomedical data (Omics, Assay, Real World Data, Clinical & EHR Data, and CRO data) into a Unified Data Model. With our 10X faster LLM-powered curation and human-in-the-loop model to achieve 99.99% accuracy, we are fast-tracking time to analysis.
Today, Polly is facilitating use case like patient stratification, biomarker discovery, target ID & validation, data management, and development of clinical and commercial pipelines across Pfizer, Janssen Pharmaceuticals, NextGen Jane and IMBDx and over 35 premier biopharma companies and research labs.
About the Job
Elucidata is seeking a skilled and motivated Bioinformatics Engineer to join our Customer Delivery Team. In this role, you will be responsible for developing scalable bioinformatics applications and pipelines for efficient data processing and consumption.
You will also maintain and enhance existing pipelines, adding new features to improve performance and usability. This role offers an opportunity to collaborate with multidisciplinary teams, apply data science and engineering principles to solve complex problems, and leverage AI/ML to accelerate drug discovery and biomedical research.
Responsibilities
- Design, develop, and maintain robust and reproducible bioinformatics workflows using tools like Nextflow (DSL2) or Snakemake.
- Process and analyze bulk RNA-seq and single-cell RNA-seq data using tools such as STAR, Kallisto, Cell Ranger, and others.
- Collaborate with scientists and analysts to validate workflows and ensure high-quality data outputs for client delivery.
- Perform quality control checks, troubleshoot pipeline issues, and optimize performance for large-scale datasets.
Requirements
- Master’s degree in Computer Science, Bioinformatics, Computational Biology, or a related field with 2–3 years of experience developing bioinformatics workflows and performing NGS data analysis.
- Proficient in Python and R,including experience with data wrangling and visualization libraries.
- Experience in NGS raw data processing (e.g bulk RNAseq, scRNAseq) using tools such as STAR, kallisto, CellRanger and an understanding of typical QC and downstream analysis steps.
- Experience with workflow managers (e.g., Nextflow, Snakemake), containerization technologies (e.g., Docker), and deploying workflows on AWS or HPC environments.
- Familiarity with biological databases (e.g. Ensembl, NCBI) and experience retrieving data files (e.g. downloading FASTQ files from the SRA or obtaining count files for pipeline ingestion).
- Excellent communication and strong problem solving and collaboration skills. Ability to write clear technical documentation and share knowledge.
Preferred
- Experience with version control and CI/CD systems, including Git/GitHub for collaborative development and GitHub Actions or GitLab CI for workflow testing and automation.
- Experience developing interactive dashboards using R Shiny and/or enterprise tools like Spotfire is a plus.
- Basic understanding of ML/statistical modeling in bioinformatics is a plus.
- Agile: Exposure to Agile/Scrum methodologies and tools like Jira.
Location
Bangalore, Karnataka.
Experience Required
2-3 years.
How to Apply
Interested candidates can apply through this link.
