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Senior Bioinformatics Engineer / Lead Bioinformatics Engineer

Job Description

Posted on: 
November 10, 2024

We are seeking a highly skilled Senior Bioinformatics Engineer to work on cutting-edge bioinformatics pipelines, algorithms, and data visualization. The ideal candidate will have expertise in NGS pipelines, cloud/HPC-based environments, and bioinformatics algorithms. As a senior team member, you should be a subject matter expert (SME) in bioinformatics, particularly in NGS and multiomics, and have the technical ability to develop, optimize, and scale bioinformatics pipelines. You should be passionate about learning, enhancing your skills, and have strong communication capabilities.

Responsibilities

  • Develop, optimize, and scale bioinformatics pipelines for DNA, RNA, metagenomics, microarray, gene expression, scRNA, and other relevant areas.
  • Work with workflow managers such as Airflow, Snakemake, or Nextflow (Nextflow preferred) for pipeline development and automation.
  • Provide support for bioinformatics algorithms, understanding user cases, and providing scientific and technical solutions.
  • Develop and support web-based solutions for bioinformatics algorithms to improve user experience and provide multi-user access.
  • Interpret results, analyze plots, and apply data science/bio-statistical skills to draw insights from data.
  • Support and enhance bioinformatics pipelines in a cloud or HPC-based environment.
  • Participate in knowledge building, project documentation, and skill development across teams.
  • Showcase and present solutions to clients and internal teams.
  • Job Requirements

    Mandatory Skills:

    • 3-8+ years of experience working with bioinformatics pipelines and result interpretation, particularly in NGS (DNA, RNA, metagenomics, microarray, gene expression, scRNA, etc.).
    • Hands-on experience with pipeline engineering, development, optimization, and scaling.
    • Proficiency with workflow managers such as Airflow, Snakemake, or Nextflow (Nextflow preferred).
    • Experience with DevOps practices, particularly in bioinformatics pipelines, with hands-on knowledge of Docker and containerization.
    • Strong technical skills in Python (e.g., Numpy, Pandas) for data analysis and visualization.
    • Experience in R (Rshiny, Tidyverse, and R visualization).
    • Proficiency in shell scripting (grep, awk, sed, bash scripting).
    • Strong verbal and written communication skills, with the ability to present technical concepts clearly.
    • Customer-facing experience with bioinformatics solutions.

    Optional Skills:

    • Experience in structural biology (protein structure prediction, dynamics, drug design, pathways analysis).
    • Familiarity with tools like Ansible, Jira, Confluence, Service Now, and advanced Excel.
    • Experience working with AWS and HPC-based environments, particularly for bulk data analysis.
    • Knowledge of bio-statistics and data science is an added advantage.

    Education:

    • M.Sc, M.Tech, or PhD in Bioinformatics, Computational Biology, Biotechnology, or a related engineering discipline from a reputable institution.

    Benefits:

    • Competitive salary and benefits.
    • Opportunity to work on innovative bioinformatics projects.
    • Collaborative and dynamic work environment.

    Apply now

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