Solution Architect

About the Role :

We are looking for an experienced Solutions Scientist passionate about applying agentic and GenAI automation in life sciences.

The ideal candidate bridges AI system design with biological insight.

The ideal candidate will be able to work with both R&D and business teams to turn bottlenecks and manual workflows into intelligent, automated workflows.

This role is at the intersection of AI architecture, bioinformatics workflows, and solution design,a great opportunity for someone who enjoys working across technical and scientific boundaries to build high-impact AI solutions.

What Youll Own :

- Explore and evaluate opportunities across bioinformatics and R&D workflows where agentic automation can accelerate analysis, reduce manual steps, or enhance decision-making.

- Design, implement, and present GenAI-based prototypes and agentic workflows to internal stakeholders and external prospects.

- Work closely with R&D, bioinformatics, and marketing teams to create technical materials, case studies, and demo assets showcasing AI-driven automation and workflow intelligence.

- Break down customers' scientific or operational workflows into components identifying which steps can be automated, which benefit from LLM intelligence, and which require expert input and design scalable, modular systems around them.

- Translate complex AI workflows into clear, business-aligned narratives for clients and stakeholders; participate in discussions with scientists, product leads, and technical teams.

What Makes You a Great Fit :

- Educational Background : Master's in Computer Science, Bioinformatics, Computational Biology, or a related technical discipline.

- Experience : Minimum of 3-4 years of ML or AI solution building experience, with at least 1 year in drug discovery or healthcare related agentic automation workflow experience.

- Applied Bioinformatics Background : Hands-on experience in typical bioinformatics workflows from finding datasets (e.g., GEO, TCGA, cbioportal, CellxGene etc) to exploratory data analysis, differential expression, pathway analysis, and report generation.

- Strong AI System Thinking : Ability to design AI-driven systems that balance automation, intelligence, and human oversight; understands trade-offs of various design choices.

- Collaborative Communicator : Proven ability to work effectively in multidisciplinary teams translating domain expert needs into actionable technical requirements.

- Curious & Versatile : Comfortable working across diverse data types (omics, clinical patient data, assay data) and eager to explore new domains.

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 Elucidatas 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 whats 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 Institutes Autoimmune Disease ML Challenge recognised for cutting-edge innovation in biomedical AI.

- Placed in the Top 25 Globally in the Arc Institutes Virtual Cell Challenge (VCC) sponsored by NVIDIA, 10x Genomics, and Ultima Genomics.

- Read our latest publications to see how were advancing data-centric AI for life sciences.