Senior Bioinformatician

Synlico Inc., a Johnson & Johnson Innovation JLABS@SSF resident company, is at the forefront of transforming biology by leveraging causality to make cellular processes explainable, predictable, and engineerable. Our AI platform employs machine learning & deep learning, causal discovery & inference, and single-cell bioinformatics.

Our unique approach lies in unraveling the causal relationships between cells' intracellular activities and their responses in the patients' heterogeneous microenvironment, predicting how cell modulation alters its behavior in patients. Our technology has a broad range of potential vertical applications in drug discovery, including target identification, therapy design, manufacturing, and biomarker discovery.

We are seeking a scientist to conduct searches in public databases and distinguish different functional genomics technologies and biological experimental methodologies. The role involves validating and entering accurate datasets, ensuring data consistency, and optimizing database structure for smooth information flow.

• Conduct searches in public genomic databases (GEO, CellXGene, HumanCell Atlas).
• Distinguish different functional genomics technologies and biological experimental methodologies to match the needs.
• Understand necessary dataset qualifications.
• Enter matching datasets to the database accurately with utmost attention.
• Validate/cross-check new datasets to avoid duplicates or problems.
• Optimize database structure to optimize information flow.

Ph.D graduate in computational biology, bioinformatics, single-cell biology, genomics, immunology, biomedical engineering, or a related field.

A strong technical focus and knowledge of genomics, molecular biology, and technologies such as qPCR and next-generation sequencing.

• Demonstrated proficiency in analysis of large-scale transcriptomics data (especially scRNA-seq)
• Experience identifying outliers for gene expression and splicing from RNA-seq data
• Experience working with relevant genomic databases and browsers and their annotations
• Proficiency in Git operations
• Strong coding and visualization skills using Python or R.
• Experienced in data wrangling using pandas or tidyverse.
• Skilled in Linux command-line interface (CLI) operations.

Total Contract Value (annual): Rs. 12L - 15L. Contractors are responsible for their own taxes.

The ideal candidate should have a strong focus on modern single-cell gene expression technologies and coding skills, demonstrate critical thinking, attention to detail, and consistency in delivering reliable results.