Careers

Build the
Future of
Immunotherapy

We are a small, high-conviction team working on one of the hardest problems in biology. If you want your work to matter, come build with us.

We hire for depth and intellectual honesty. Every role is full-time and on-site in Chennai, India.

Open Roles

1 Open Position

Scientist – Single-Cell Genomics

Wet Lab / Research · Chennai, India · Full-time · On-site
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Establish and scale scRNA-seq workflows capable of handling 1M+ cells per experiment. You will own end-to-end execution — from experimental planning through sequencing handoff — and collaborate closely with our ML team to ensure data quality drives model performance.

Responsibilities

  • — Design and execute scRNA-seq experiments end-to-end, from cell preparation through library QC and sequencing handoff
  • — Scale combinatorial barcoding protocols (Parse Evercode, SPLiT-seq, sci-RNA-seq) to 1M+ cells per run
  • — Optimise protocols for cell fixation, nuclei isolation, and PBMC preparation across diverse sample types
  • — Establish QC pipelines and enforce data quality standards across all experimental runs
  • — Manage vendor relationships for reagents, consumables, and sequencing services
  • — Collaborate with the ML team to translate experimental data into training-ready datasets
  • — Recruit and mentor junior wet-lab staff as the team grows

Required

  • — PhD in genomics, molecular biology, immunology, or a closely related field
  • — Hands-on experience with combinatorial single-cell RNA-seq (Parse Evercode, SPLiT-seq, or sci-RNA-seq)
  • — Proficiency in NGS library preparation and QC (TapeStation, Bioanalyzer, Qubit)
  • — Experience with primary cell preparation: PBMCs, nuclei isolation, and cell fixation
  • — Track record of troubleshooting and rescuing failed scRNA-seq runs

Preferred

  • — Experience with Scanpy or Seurat for exploratory single-cell data analysis
  • — Scripting ability in Python or R for QC automation
  • — Background in oligo or barcode design for combinatorial indexing

How to Apply

Send your CV to smitha@anubio.ai and answer this question in your email:

"What is the hardest single-cell run you've rescued, and how?"

General Interest

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