Computational Biology & Design and Molecular Modeling & Virtual Screening

Biological E. Limited; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Biological E. Ltd. invites applications for a senior scientific leader to steer AI/ML‑enabled computational biology across vaccine R&D.

You will shape the strategy for bioinformatics, genomics, NGS analytics and multi‑omics, guiding teams to translate complex data into actionable insights for vaccine and biologics development. The role requires a PhD with 10–15 years in computational biology, AI/ML, and pharmaceutical R&D, with strong leadership, communication, and collaboration skills.

Qualifications

• PhD with 10–15 years of experience in bioinformatics, genomics, NGS, viral evolution, and AI/ML.
• Strong expertise in multi-omics, predictive modelling, GenAI/LLMs, and biological foundation models.
• Demonstrated scientific leadership, communication, and collaboration skills.

Responsibilities

• Define computational biology strategy and roadmap across bioinformatics, genomics, NGS analytics, multi-omics, and viral evolution.
• Lead AI/ML‑driven molecular design and predictive modelling initiatives.
• Build and strengthen NGS analytics and bioinformatics capabilities.
• Partner with experimental teams to translate data into actionable R&D insights.

Skills

Bioinformatics

Genomics

NGS analytics

Viral evolution

AI/ML

Multi-omics

Predictive modelling

GenAI/LLMs

Biological foundation models

Leadership & collaboration

Education

PhD in bioinformatics/genomics/related field

Tools

GenAI

Job description

Biological E. Ltd. – Vaccine R&D Team is Hiring!

Shape the Future of Vaccines with AI/ML

At Biological E. Ltd., we are building next-generation AI/ML-enabled R&D capabilities to accelerate innovation in vaccines and biologics.

We are looking for accomplished scientific leaders who are passionate about combining AI, computational biology, molecular sciences, and experimental R&D to solve complex challenges and translate scientific innovation into real‑world impact.

Lead the computational biology strategy across bioinformatics, genomics, NGS analytics, multi‑omics, and viral evolution to generate actionable insights for vaccine R&D.

Key Focus Areas:

• Define computational biology strategy and roadmap.
• Build and strengthen NGS analytics and bioinformatics capabilities.
• Advance viral evolution, strain prediction, and biological intelligence.
• Apply predictive modelling, GenAI, LLMs, and biological foundation models.
• Partner with experimental scientists to translate complex biological data into actionable R&D insights.

What We're Looking For:

• PhD with 10–15 years of experience in bioinformatics, genomics, NGS, viral evolution, and AI/ML.
• Strong expertise in multi‑omics, predictive modelling, GenAI/LLMs, and biological foundation models.
• Strong scientific leadership, communication, and collaboration skills.

Pioneer AI‑driven molecular and sequence design, including mRNA, using GenAI and foundation models to transform the way medicines and biologics are designed.

Key Focus Areas:

• Lead AI/ML‑driven molecular and sequence design, including mRNA.
• Apply LLMs, GenAI, and foundation models to life sciences.
• Integrate computational and experimental insights through design–test–learn cycles.
• Lead scientific teams to deliver impactful R&D outcomes.

What We're Looking For:

• 10–15 years of experience in computational/molecular design, AI/ML, and pharmaceutical R&D.
• Strong hands‑on expertise with sound scientific judgement and execution focus.
• Demonstrated ability to translate AI advances into real‑world pharmaceutical or biologics applications.
• Passion for using computational innovation to accelerate medicines development.

Apply AI/ML, structural biology, molecular simulations, and computational methods to accelerate discovery, candidate prioritization, and vaccine innovation.

Key Focus Areas:

• Define the strategy for AI‑enabled molecular modelling and virtual screening.
• Apply molecular simulations, structure prediction, and binding‑interaction modelling.
• Explore generative AI approaches for virtual screening and molecular discovery.
• Integrate computational predictions with experimental R&D workflows.

What We're Looking For:

• 10–15 years of experience in structural biology, molecular docking, protein modelling, and AI/ML.
• Strong expertise in computational chemistry, biophysics, molecular simulations, and HPC workflows.
• Proven track record of translating computational innovation into tangible R&D outcomes.

Why Biological E.?

Join a purpose‑driven R&D organization where science meets technology to address some of the most complex challenges in vaccine and biologics development.

If you are a scientific leader looking to push the boundaries of AI/ML + Life Sciences + Vaccine R&D, we would love to hear from you.