Jivanu Therapeutics is looking for a Senior computational biologist to lead the computational backbone of Jivanu’s platform. You will lead the development of our computational analytics and bioinformatics pipelines, creating innovative methodologies that power a robust, clinically deployable platform for microbiome multi-omics analysis. Your work will span the design and optimization of our WGMS profiling pipelines, advancement of our recommendation engine, and the creation of a uniquely India-relevant reference cohort. You will also drive computational programs supporting consortium design, strain selection, and engineered biotherapeutics development.

As the platform grows, you will have the opportunity to build and lead a computational biology team while working closely with the founders on scientific and product strategy. This is a chance to shape genuinely novel science using one of the world’s most distinctive microbiome datasets, with products designed for both Indian patients and global markets.

Key computational platforms

• WGMS profiling platform. End-to-end design, implementation, and clinical-grade scaling of our deep whole-genome metagenomic sequencing pipelines covering quality control, assembly, taxonomic and functional profiling, longitudinal tracking, and clinical reporting.
• AI recommendation engine. Lead the continued development of the engine that translates microbiome profiles into personalized diet, prebiotic, probiotic, supplement, and therapeutic recommendations, including disease-specific modules, model evaluation, and integration of clinical history.
• India reference cohort. Lead the construction, curation, and scientific use of an India-relevant microbiome reference cohort: a foundational asset for everything downstream, and a globally distinctive dataset that does not exist today.
• Therapeutics-side computation. Drive the computational design and selection of next-generation probiotic strains, donor-independent microbial consortia, and engineered live biotherapeutics, including comparative genomics, metabolic modeling, ecological dynamics, and target-trait optimization. 
• Engineering rigor. Set the standard for reproducibility, version control, containerization, workflow orchestration, and data infrastructure as the platform scales from research code to clinical and regulated environments.
• Team and scientific direction. Hire, mentor, and lead the computational biology team; partner with the founders on scientific roadmap, publications, IP, and external scientific collaborations.

Preferred Qualifications & Skills

• Someone returning to India, or considering returning, after meaningful time at leading research environments globally: for example top-tier universities, national labs, or biotech/​pharma R&D groups in the U.S., U.K., continental Europe, Japan, Singapore, Australia, or elsewhere.
• Accomplished computational biologist already in India who has been waiting for a scientifically ambitious, founder-led platform to build alongside.
• Demonstrated technical depth in computational biology, metagenomics, microbial genomics, or a related field through publications, software, deployed systems, or significant industry contributions.
• Experience working with engineered microbes, microbial consortia design, or genome-scale metabolic modeling.
• Comfortable operating in a fast-moving early-stage startup environment, with enthusiasm for building systems, processes, and teams from the ground up.
• Familiarity with regulated clinical and diagnostic environments, including CLIA, CAP, CDSCO, FDA, or equivalent validation and compliance frameworks.
• Demonstrated ability to mentor scientists and contribute to building high-performing scientific or computational teams.

A computational biologist with a PhD and several years of postdoctoral, faculty, or industry research experience, ideally with deep microbiome, metagenomics, or microbial-genomics work.

• Direct experience in microbiome and metagenomics analysis, including WGMS, 16S sequencing, strain-level analysis, functional profiling, and longitudinal modeling.
• Strong experience building and operating scalable bioinformatics pipelines on real-world datasets using Python and/​or R, Unix/​Linux environments, workflow managers (Nextflow, Snakemake, or equivalent), containerization tools (Docker, Singularity), and cloud platforms such as AWS or GCP.
• Practical expertise applying statistical modeling and machine learning approaches to high-dimensional biological data, with strong judgment on methodological selection and interpretation.
• Ability to independently scope problems, prioritize impactful work, execute effectively, and communicate findings clearly to clinicians, wet-lab scientists, and non-specialists.

Please send a CV and a cover letter describing your prior relevant experience to hr@​jivanutx.​com , why this role interests you, and links to any published work, software, or open-source contributions you are proud of. References will be requested later in the process.