Custom Software Engineer

Project Role : Custom Software Engineer

Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.

Must have skills : Life Sciences R&D

Good to have skills : NA
Minimum 3 year(s) of experience is required

Educational Qualification : 15 years full time education

Summary:

As a Bioinformatician, you possess strong expertise in Life Sciences R&D, specializing in the design, development, and optimization of genomics and multi-omics data analysis pipelines. Proven ability to collaborate with cross-functional scientific and clinical teams to translate complex biological questions into scalable, reproducible computational solutions. Experienced in delivering high-quality analyses across the project lifecycle, encompassing data processing, variant interpretation, and insight generation to support translational research and clinical decision-making. Adept at leveraging programming (Python/R), Linux environments, and public biological databases to build robust analytical workflows, with a strong focus on data quality, reproducibility, and scientific validity.

Roles & Responsibilities

Design, execute, and optimize bioinformatics pipelines for genomics and multi-omics datasets (WGS, WES, RNA-seq, methylation, etc.).

Perform end-to-end data processing including quality control, alignment, variant calling, annotation, and downstream statistical analysis.

Interpret genomic variants and biological signals to generate meaningful insights for research and clinical applications.

Develop, automate, and maintain analytical workflows using Python, R, and shell scripting in Linux-based environments.

Integrate heterogeneous datasets using public repositories (e.g., ClinVar, dbSNP, Ensembl, GeneCards, etc.) to enrich analysis.

Collaborate closely with biologists, clinicians, and data scientists to align analytical outputs with study objectives.

Generate high-quality reports, visualizations, and stakeholder-ready summaries ensuring clarity and scientific accuracy.

Ensure reproducibility and traceability through proper documentation, version control, and adherence to best practices.

Leverage cloud/HPC environments and workflow orchestration tools (e.g., Nextflow, Snakemake) for scalable analysis.

Operate independently as a subject matter expert while contributing actively to technical discussions and problem-solving.

Drive continuous improvement through knowledge sharing, mentoring, and development of reusable assets and best practices.

Professional & Technical Skills

Life Sciences R&D Expertise: Strong foundation in genomics, molecular biology, and translational research workflows.

Bioinformatics Analysis: Deep experience in variant discovery, annotation, prioritization, and pathway-level interpretation.

Programming & Tools: Proficient in Python, R, Bash experienced in Linux/Unix environments and workflow automation.

Data Analysis & Statistics: Ability to analyze complex biological datasets and apply appropriate statistical methodologies.

Clinical & Research Context: Understanding of clinical trial processes, biomarker discovery, and precision medicine applications.

Data Integration: Hands-on experience with public genomic/clinical databases and multi-omics data integration.

Visualization & Reporting: Skilled in generating interpretable visualizations and scientific reports for diverse stakeholders.

Scalability & Infrastructure: Exposure to cloud platforms and HPC systems for large-scale data processing.

Good problem-solving skills with the ability to analyze and resolve complex technical issues.

The candidate should have minimum 3 years of experience in Life Sciences R&D.

This position is based at our Bengaluru office.

A 15 years full time education is required.

Qualification 15 years full time education