Product Manager – Bioinformatics

Role Overview:

We are looking for a dynamic and strategic Product Manager – Bioinformatics to lead the positioning and market development of our bioinformatics platforms and solutions. The ideal candidate will have strong technical expertise in bioinformatics, excellent communication skills, and a keen understanding of industry and academic trends. This role bridges science and strategy, working closely with commercial teams, academic collaborators, and technology partners.

Key Responsibilities:

Product Strategy & Lifecycle Management:

• Drive product positioning, market strategy, and lifecycle planning for the bioinformatics portfolio including analysis software, pipelines, and AI/ML-enabled interpretation tools.

Technical Enablement:

• Work with sales team, internal application scientists and external partners to support bioinformatics needs related to genomics (NGS), proteomics, single-cell, spatial, and multiomics solutions.

Market Development & Go-To-Market:

• Identify emerging trends in bioinformatics applications across research and clinical domains; support go-to-market planning including pricing, bundling, and technical communication.

Customer Engagement & Support:

• Engage with academic and industry clients to understand needs, resolve challenges, and ensure successful deployment of informatics solutions.

Training & Thought Leadership:

• Conduct product trainings, webinars, and workshops; represent the company at scientific conferences and technology forums to build visibility and connect with KOLs.

Cross-functional Collaboration:

• Work closely with sales, application support, marketing, and international principal partners to drive market adoption and feedback-driven development.

Prerequisites:

Education:

• Master's or PhD in Bioinformatics, Computational Biology, Genomics, or related field.

Experience:

• 3–4 years of experience in bioinformatics roles, preferably with exposure to NGS data analysis, multiomics pipelines, and product/solution management.

Mobility:

• Willingness to travel up to 50% for client interactions, field support, and events.

Network:

• Strong academic and industry connections in the bioinformatics and genomics ecosystem will be an added advantage.

Tools & Tech:

• Familiarity with tools such as Linux, R, Python, cloud platforms, and popular pipelines (e.g., GATK, DeepVariant, BWA-MEM, Annovar, Ensembl, ClinVar, Cosmic, Cell Ranger, STAR, Seurat or similar) preferred.

Why Join Us:

At Premas, you’ll be part of a growing team driving innovation at the intersection of biology and data science. You’ll have the opportunity to shape how next-generation technologies are delivered and applied across Indian academia, translational research, and diagnostics.