About the Role
Biodesign Innovation Labs is looking for a Bioinformatics / Genomic Engineer with experience in NGS data analysis, computational genomics, AI/ML, and multi-omics research. The candidate will work on bioinformatics pipeline development, cancer genomics, predictive modelling, and computational drug discovery, contributing to our BILD AI precision oncology platform.
Key Responsibilities
- Perform WGS, WES, NGS, and RNA-seq data analysis, including quality control, alignment, variant calling, annotation, and interpretation.
- Develop, customise, optimise, test, and validate bioinformatics pipelines.
- Apply AI/ML and deep learning techniques to genomic, transcriptomic, proteomic, and clinical datasets.
- Develop predictive models for cancer classification, biomarker discovery, molecular subtype identification, and treatment-response prediction.
- Perform multi-omics integration, differential gene expression, pathway analysis, and biomarker identification.
- Work on cancer research projects involving colorectal, prostate, peritoneal, and lung cancers.
- Support computational biology and de novo drug discovery research.
- Conduct research and develop methodologies for ageing-related studies and treatment-response prediction.
- Integrate bioinformatics and AI/ML workflows into the BILD AI platform in coordination with software and research teams.
- Support R&D projects, including therapeutic research and other biomedical applications.
- Prepare research reports, scientific manuscripts, publications, and technical documentation.
- Coordinate with research collaborators and manage assigned project deliverables.
Required Technical Skills
- Bioinformatics: NGS, WGS, WES, RNA-seq, variant calling, annotation, and genomic data analysis.
- Tools: BWA, GATK, SAMtools, BCFtools, VEP, Mutect2, FastQC, MultiQC, etc.
- AI/ML: Machine learning, deep learning, predictive modelling, classification, regression, and model evaluation.
- Programming: Strong proficiency in Python and/or R, familiarity with Linux/Unix.
- Data Analysis: Multi-omics integration, differential gene expression, statistical analysis, and biomarker discovery.
- Frameworks: Familiarity with Scikit-learn, TensorFlow, and/or PyTorch.
Educational Qualifications
- BTech / MTech / MSc / MS in Bioinformatics, Computational Biology, Genomics, Biotechnology, Computer Science, Data Science, Biomedical Engineering, or a related discipline.
- Candidates with a combination of bioinformatics, programming, and AI/ML expertise are preferred.
Experience Required
- 1-3 years of relevant experience in bioinformatics, computational genomics, AI/ML, or biomedical data science.
- Hands-on experience in NGS data analysis and bioinformatics workflows.
- Practical experience developing and implementing machine learning models.
- Experience working with genomic or other biological datasets.
- Research documentation and scientific writing experience.
Preferred Skills
- Familiarity with TCGA, GEO, NCBI, Ensembl, ClinVar, and COSMIC databases.
- Experience in cancer genomics and treatment-response research.
- Exposure to single-cell RNA sequencing and spatial transcriptomics.
- Knowledge of computational drug discovery.
- Experience with cloud-based computational environments.
- Research publications will be an advantage.
Key Competencies
- Strong analytical and problem-solving skills.
- Ability to independently execute technical and research assignments.
- Good scientific interpretation and documentation skills.
- Ability to manage multiple projects and deadlines.
- Interest in applying AI/ML to healthcare and precision oncology.
Job Type: Full-time
Pay: ₹308,834.99 - ₹462,803.20 per year
Ability to commute/relocate:
- Bangalore, Karnataka: Reliably commute or planning to relocate before starting work (Preferred)
Experience:
- total work: 2 years (Required)
Work Location: In person
