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Axle

Axle

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Data Scientist

Remote
Full-Time
Posted October 9, 2026
Salary
12-20 LPA
Batches
2-4 years experience required
Apply Route
100% Direct

About The Role

Axle is a cutting‑edge bioscience and information‑technology firm delivering advanced biomedical informatics and data‑science solutions to research institutions worldwide. As a Data Scientist II, you will join the NIH‑based National Cancer Institute team, building robust computational pipelines for multi‑omics data, driving cancer research insights, and collaborating with scientists to accelerate discovery. The role offers exposure to high‑impact projects, modern cloud infrastructure, and a collaborative, innovation‑focused environment.

Responsibilities

Design and implement scalable pipelines for processing bulk and single‑cell RNA‑seq, spatial transcriptomics, and genomics data.
Develop and maintain cloud‑based computational infrastructure supporting NIH’s National Cancer Institute projects.
Collaborate with biomedical researchers to translate analytical results into actionable insights for cancer studies.
Perform statistical modeling, machine learning, and data visualization to uncover biomarkers and therapeutic targets.
Ensure data quality, reproducibility, and compliance with regulatory standards throughout the omics data lifecycle.

Requirements

  • Strong programming skills in Python or R with experience in data‑science libraries (pandas, scikit‑learn, TensorFlow).
  • Hands‑on experience with next‑generation sequencing data analysis pipelines (RNA‑seq, scRNA‑seq, WGS/WES).
  • Proficiency in SQL and cloud platforms (AWS, GCP, or Azure) for building scalable workflows.
  • Solid understanding of statistical methods, machine learning, and bioinformatics algorithms.
  • Bachelor’s or higher degree in Computer Science, Bioinformatics, Computational Biology, or related field; 2020‑2024 passout acceptable.

Eligibility Checklist

B.Tech/M.Tech/M.Sc/BCA in Computer Science, Bioinformatics, Computational Biology, Statistics

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