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About Loopworm

Loopworm is a next-generation biotechnology company building India’s first scalable platform that uses insects as a platform to produce sustainable proteins, oils, and high-value recombinant proteins. Backed by leading investors, we operate a 6,000 Tonnes/annum GMP+, ISO 22000 & HACCP-certified facility near Bengaluru and are pioneering breakthrough innovations in animal nutrition, diagnostics, and biopharma.

Key Responsibilities

• Perform DNA/RNA sequence analysis to support heterologous protein expression in insect cell systems.
• Design and optimize expression vectors, including promoters, regulatory elements, UTRs, signal peptides, and fusion tags.
• Conduct codon optimization and mRNA-level analysis (GC content, secondary structure, translation efficiency).
• Predict and evaluate protein folding, solubility, aggregation risk, stability, and complexity.
• Apply protein structure modelling and interpretation (e.g., AlphaFold-based insights) to guide expression strategy.
• Utilize AI/ML-based tools for protein expression prediction and structure–function analysis.
• Extract, curate, and analyse data from biological databases to optimize construct and host selection.
• Integrate sequence, structure, and expression data to generate actionable recommendations.
• Collaborate with molecular biology, upstream cell culture, and downstream purification teams on design and troubleshooting.
• Prepare clear technical reports, summaries, and presentations for project and management review.

Required Qualifications

• Master’s degree in Bioinformatics, Computational Biology, Biotechnology, or related field with minimum 5 years of relevant hands-on experience OR
• PhD in Bioinformatics / Computational Biology / Life Sciences with minimum 2 years of applied industry or post-doctoral experience
• Demonstrated experience in protein expression–focused bioinformatics.

Core Capabilities & Technical Expertise

• DNA and RNA sequence analysis for recombinant protein expression.
• Codon optimization and mRNA secondary structure analysis to improve translation efficiency.
• Expression vector design aligned with insect cell and BEVS requirements.
• Comparative sequence alignment and homology analysis.
• Assessment of protein folding, solubility, aggregation, and stability from sequence and structural data.
• Interpretation of protein structure predictions (AlphaFold, homology models).
• Understanding of structure–expression–function relationships.
• Integration of data from NCBI, UniProt, PDB, KEGG, and expression repositories.
• Comparative analysis across sequence, structure, and expression datasets.
• Familiarity with AI/ML approaches in protein engineering and expression prediction.
• Proficiency with sequence analysis and alignment tools (BLAST, Clustal Omega, MUSCLE, MAFFT).
• Hands-on use of protein analysis and visualization tools (PyMOL, Chimera).
• Experience with protein feature prediction tools (ExPASy, ProtParam, SignalP, TMHMM).
• Working knowledge of Python, R, or scripting for bioinformatics workflows and data analysis.
• Exposure to commercial or open-source protein expression prediction platforms and modelling tools.
• Strong analytical thinking and scientific problem-solving ability.
• Ability to work independently and cross-functionally in a startup R&D environment.
• Clear scientific communication, documentation, and reporting skills.

Ownership mind set with adaptability and execution focus.

Why Join Us?

• Be part of an India-first biotech innovation.
• Work on a revolutionary platform with potential to disrupt multiple industries — biopharma, diagnostics, cosmetics, and more.
• Collaborate with passionate scientists, engineers, and entrepreneurs.
• Enjoy a fast-paced and innovation-driven culture.