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Bioinformatics Program Lead

Bioinformatics Program Lead

ElucidataBengaluru, Republic Of India, IN
4 days ago
Job description

About the Company :

Elucidata is an AI Solutions Tech Data-centric AI company on a mission to make life sciences AI-ready. Headquartered in San Francisco with a 120+ member team across the US and India, we’re building the future of data-centric AI for drug discovery. Our flagship AI-Agentic powered platform, Polly, helps research teams wrangle, harmonize, and analyze massive volumes of biomedical data, accelerating discoveries and making precision medicine a reality.

Recognized by Fast Company as the “Most Innovative Biotech Company of 2024,” Elucidata partners with 25+ leading organizations, including Pfizer, Novo Nordisk, Google DeepMind, Alnylam Therapeutics, and the Bill & Melinda Gates Research Institute. Backed by top VCs like Eight Roads, F-Prime, IvyCap, and Hyperplane.

With over 200 data products and AI solutions co-developed by 100+ domain experts, we’ve helped our partners achieve 4X faster R&D milestones and contribute to 16 therapies advancing toward FDA approval. At Elucidata, you’ll work at the intersection of AI, biology and impact while solving real-world challenges that accelerate the journey from data to discovery.

About the Role

We are looking for a Sr. Manager Bioinformatics (TO) who can bridge deep scientific understanding with operational execution. This is a critical role that combines hands-on bioinformatics expertise, multiomics data fluency, and program management to ensure timely, high-quality project delivery with measurable business outcomes.

You’ll own the delivery of high-impact client projects, lead a team of bioinformaticians and data scientists, and collaborate with GTM and R&D teams to translate customer needs into scalable, value-driven solutions.

What You’ll Own

  • Own end-to-end delivery for multiomics and biomedical data projects, ensuring on-time, high-quality outcomes with minimal noise.
  • Collaborate closely with teams to align on client objectives, SOWs, and technical requirements.
  • Provide scientific and technical direction across pipelines, data QC, harmonisation, and integration, ensuring reproducibility and consistency.
  • Draft and review SOWs, estimate man-hours accurately, and allocate resources based on project complexity.
  • Act as the technical SME across multiomic data, AI / ML workflows, and biological interpretation;

guide teams on complex analyses and optimization.

  • Manage and mentor a team of scientists and analysts, driving accountability, growth, and technical excellence.
  • Partner with GTM, Product, and R&D teams to align delivery outcomes with business goals and customer success.
  • Represent Elucidata in scientific events and conferences to showcase delivery excellence and generate qualified leads.
  • What Makes You a Great Fit

  • Ph.D. or Master’s in Bioinformatics, Computational Biology, Biotechnology, or related field.
  • 8–12 years of total experience, with at least 5 years in delivery or project leadership roles in life sciences / bioinformatics / TechBio companies.
  • Strong hands-on experience in multiomic data analysis (RNA-seq, proteomics, metabolomics, single-cell, etc.) and downstream statistical or ML methods.
  • Proven track record of delivering complex, cross-functional data science projects to global clients.
  • Experience in drafting SOWs, defining delivery scope, and estimating effort / man-hours.
  • Excellent project management, stakeholder communication, and cross-team collaboration skills.
  • Familiarity with data standards, FAIR principles, and cloud-based data processing (AWS / Azure / GCP).
  • Exposure to customer-facing roles, pre-sales discussions, or solution architecture.
  • Experience working with global clients or cross-geo delivery teams.
  • Familiarity with tools like Nextflow, Snakemake, Airflow, or other workflow orchestration frameworks.
  • Prior experience in scaling teams or setting up delivery processes for a growing organization.
  • Why Join Elucidata?

  • Opportunity to shape the future of biomedical data ecosystems by building partnerships at the frontier of science and healthcare.
  • Direct visibility with the CEO and leadership team.
  • High-impact role - the partnerships you establish will directly translate into Elucidata’s growth and customer success.
  • Work with global leaders and contribute to data-driven drug discovery.
  • We are proud to be an equal-opportunity workplace and are an affirmative action employer. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, caste, citizenship, marital status, disability, gender identity, or Veteran status.
  • Benefits of working with us :

  • Competitive compensation including ESOPs
  • Unlimited vacation and holiday time off
  • Hybrid work environment (3 days in office)
  • The opportunity to be part of a dynamic team in a growing company
  • Elucidata at First Glance

  • Recognised as the Most Innovative Company in Biotech (Fast Company, 2024 ) - for leading the charge in making life sciences data AI-ready.
  • A Decade of Curiosity, Courage, and Collaboration - hear what our team says about building the future of TechBio together.
  • Named a YourStory Tech30 Winner - celebrating innovation at the intersection of AI and biology.
  • Raised $16M in Series A Funding - led by Eight Roads, F-Prime, and our existing investors IvyCap and Hyperplane.
  • Meet Our Founders - Dr. Abhishek Jha, Swetabh Pathak, and Dr. Richard Kibbey who are redefining what’s possible in data-driven drug discovery.
  • Secured 1st Place in the NCI-CRDC AI Data Readiness Challenge - driving AI adoption in oncology research.
  • Ranked Among the Top 10 Teams in the Broad Institute’s Autoimmune Disease ML Challenge - recognised for cutting-edge innovation in biomedical AI.
  • Placed in the Top 25 Globally in the Arc Institute’s Virtual Cell Challenge (VCC) - sponsored by NVIDIA, 10x Genomics, and Ultima Genomics.
  • Read our latest publications to see how we’re advancing data-centric AI for life sciences.
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