Computational Biology (Excelra, Remote)

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Cracking the Computational Biologist Role at Excelra


If you’re eyeing the Computational Biologist / Bioinformatics Specialist role at Excelra in Hyderabad, you’re looking at an exciting opportunity to work with cutting-edge omics data and drive real drug-discovery insights. Below I’ve broken down the job, what the hiring team is likely scanning for, and exactly how you can position your resume to stand out — plus details about my resume preparation services at the end. 🚀

Snapshot: What the role is about 🔎

Excelra wants a hands-on computational biologist to manage and optimize NGS / omics workflows (scRNA-Seq, ATAC-Seq, WGS, ChIP-Seq, RNA-Seq, exome, genome assembly), convert raw data into biological insight, build scalable pipelines, and support projects like drug repurposing, biomarker discovery, patient stratification, and disease modeling.

Role level: Mid-level (Master’s + 2–3 years industrial experience)


Workplace: Hyderabad (Full-time) — but expect collaborative, multidisciplinary interactions (PhD teams, external partners).

Core skills they’ll check for ✅

Highlight these clearly and early on your resume and LinkedIn:

  • NGS & Omics expertise — scRNA-Seq, ATAC-Seq, WGS/WES, ChIP-Seq, RNA-Seq, genome assembly & annotation. 🧩
  • Programming & scripting — R, Python, and shell scripting for pipelines and analyses. 🐍📊
  • Workflow tooling — Docker, Nextflow (or similar workflow managers). 🧰
  • Statistical/population genomics — GWAS, eQTL/pQTL, rare & common variant analysis. 📈
  • Data-management & DBs — familiarity with relational databases (Postgres/MySQL/Oracle). 🗄️
  • Version control — Git/GitHub. 🔁
  • Cloud/Linux experience — AWS/GCP and Linux command-line. ☁️🖥️
  • Optional pluses — Machine learning, experience with clinical/omics integrations, solid scientific communication and paper-writing. 🧠✍️

How to structure your resume for this job (quick checklist) 🧾

  1. Title & summary: “Computational Biologist / Bioinformatics Specialist — scRNA-Seq | Nextflow | Population Genomics” — one-line summary of your core strengths.
  2. Key skills (top area): list tech & bio skills (languages, tools, sequencing tech, DBs, cloud). Recruiters skim this first.
  3. Experience: For each role, lead with outcomes: what you analyzed, tools/pipelines used, and impact (e.g., “Built Nextflow pipeline that reduced processing time of scRNA-Seq by 40%; supported biomarker discovery for X project”).
  4. Projects / Publications: Show at least 2–3 relevant projects (and links if possible) or publications that showcase hypothesis generation or translational outcomes.
  5. Education & certs: Master’s + relevant courses or certifications (NGS, cloud, Nextflow, Docker).
  6. Soft skills: Clear communication, collaborative research work, stakeholder presentations — mention instances where you presented findings to non-computational teams.

Interview talking points (what to prepare) 🎤

  • Walk-through of one end-to-end pipeline you built (tools, pitfalls, validation).
  • A case where data led to a hypothesis or decision (biological impact).
  • Handling of large-scale WGS/WES datasets and population-genomics challenges.
  • Examples of reproducibility, containerization (Docker), and CI/CD for pipelines.

⚡ Bonus: Quick resume phrases that hit the mark


  • “Developed reproducible Nextflow pipelines for scRNA-Seq and ATAC-Seq.”
  • “Performed GWAS and eQTL analyses on cohort of N samples; identified X candidate loci.”
  • “Integrated multi-omics datasets for patient stratification and biomarker prioritization.”

Want your resume to open doors? — My Resume Preparation Services ✨

I help professionals craft resumes and LinkedIn profiles that pass ATS filters and impress hiring managers.

Price options / turnaround: DM me with and your current resume — I’ll send a focused package and quick next steps. 📩



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