Academic Specialist – AI ML Computational Biology & NGS Data Analysis

0 years

0 Lacs

Posted:3 weeks ago| Platform: Foundit logo

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On-site

Job Type

Full Time

Job Description

Role Overview:

  • We are seeking

    PhD-level AI, ML, and NGS experts

    with strong academic and practical experience in computational biology and advanced biological data analysis.

This dual role involves:

  • Training & Mentoring Students in

    AI/ML applications in biology, genomics, NGS data analysis, and multi-omics integration.

  • Leading Research as a

    Principal Investigator

    (PI) for student-driven and institute-led projects.
  • Contributing to

    CRO Projects

    , delivering client-ready, high-impact solutions.

Key Responsibilities:

  • Develop and deliver hands-on, advanced training modules in

    AI, ML, computational biology

    , and

    NGS data analysis.

  • Supervise and mentor students through

    multi-omics research projects

    , ensuring high academic and industry standards.
  • Drive CRO research deliverables, ensuring accuracy, innovation, and timely completion.
  • Create custom bioinformatics pipelines integrating AI/ML for complex biological datasets.
  • Stay ahead of

    emerging trends in genomics

    , AI/ML in biology, and computational technologies.
  • Collaborate in curriculum development, research partnerships, and publication efforts.

Eligibility & Qualifications (Strict Criteria):

  • PhD (preferred) in Computational Biology, Genomics, AI/ML in Life Sciences

    , or a closely related field. Exceptional postdocs may be considered.
  • Masters degree holders will be considered only if they have extensive hands-on experience in both AI/ML and NGS data analysis.
  • Candidates with only a general Biotechnology or Bioinformatics background will

    NOT be considered unless they meet the following conditions:

  • Proven hands-on AI/ML expertise (model building, deep learning, machine learning for biological datasets).
  • Strong experience in

    NGS workflows (RNA-Seq, DNA-Seq, metagenomics) and multi-omics data integration.

  • Proficiency in

    Python, R, BioPython, Bioconductor, and bioinformatics/omics tools.

  • Experience with

    cloud-based or HPC computational platforms (AWS, GCP, etc.)

    preferred.
  • Strong mentoring and communication skills.

Note:

Why Join Us

  • Lead high-impact research while training the next generation of Bio-IT innovators.
  • Be a Principal Investigator in both academic and industry projects.
  • Collaborate on cutting-edge CRO research for global clients.
  • Access opportunities for research publications and conference presentations.

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