Join Us
Be a part of the bio revolution with a new-age techno-science company!
- Ride the wave of data & computer science transforming the discipline of biology and chemistry.
- Help biotech/biopharma R&D discover new & improved medicines faster with technology.
- Work on exciting research and development projects in a collaborative learning and growth environment.
Join us in our growth journey creating a high impact for our global clients while accelerating your career.
We are a new generation in silico company for biopharma
Biology is Eating the World: A Manifesto
The direct annual global impact of the Bio Revolution could be $2 trillion to $4 trillion by 2030-40
AI and the Covid-19 Vaccine, the digital biotech’s platform approach to data science
Opportunities for Technologists
Data Scientists
- Apply for advances in AI/ML to analyze and extract insights from very large ‘science data sets’
- PyTorch, Tensorflow, JAX, sklearn, Python and R in Jupyter/Rstudio.
Data Engineer
- Compare, contrast, and associate patterns in high-volume scientific data
- Distributed data processing platforms like Spark and knowledge graph datastores like neo4j.
Algo Developers
- Develop efficient algorithms that help scientists solve problems across drug discovery.
- Solve a wide variety of problems that are too difficult to be cracked using naive approaches.
Cloud & DevOps Engineers
- Design and stand-up large compute and storage clouds to process scientific workloads
- Linux, Docker, Kubernetes, and Cloud automation.
UX/Data-Visualization Designers
- Design intuitive, elegant, and guided interfaces
- Visualizations of high-dimensionality and/or richly annotated data and relationships
Application Developers
- Realize complex workflows and guided visualizations
- Server-side programming (Python/Node.js) and UI/Visualization frameworks (JavaScript, React, D3.js).
High-throughput Science: A new revolution taking shape
Developing computational science solutions leveraging Data, Analytics, AI/ML, Apps, and Cloud
Opportunities for Computational Scientists
Computational Biologists
- Identify new targets through disease studies
- De novo design, characterization, and optimization of therapeutic candidates
- Analysis and optimization of bio-synthesis reactions
Computational Chemists
- Discover new molecules and optimize existing molecules
- Characterize their structures, properties, interaction, and reactions
- Leverage techniques across quantum chemistry, molecular dynamics, crystal structure prediction, and molecular docking.
Key areas of impact across drug discovery value chain from target discovery & validation to lead generation & optimization
Read about Aganitha's Computational Biology Services
Read about Aganitha's Computational Chemistry Services
Explore our drug discovery & development solutions
Inspiring and Collaborative Culture
Innovation and Research
Excellence
Ownership
Inclusiveness
Transparency
Partnership Approach
What our members say about us
Chanukya Nanduru
Siva Kanishka
Manasvi Sinha
“On the very first day of my work, I participated in a day-long discussion on the solutions we were building in the biopharma space (eg: Ensembl variant effect predictor), and this gave me a preview of the journey I was in for. The passion and the desire for excellence amongst the team members and the leadership team is contagious. Senior members themselves are passionate and they instill the same passion by listening to the team members, valuing their inputs, and importantly letting the team member take full ownership”.
Satyakam Sharma
"At Aganitha, the work environment is both stimulating and impactful. I could not have asked for a better first job. The team culture and the supportive leadership enabled me to grow so much professionally in the time I have been here. Engaging in cutting-edge scientific challenges and working with multidisciplinary teams provides a truly enriching experience."
Madhura Mohole
“As a scientist and someone who worked for almost 3 years prior to this job, I find that working at Aganitha is my dream come true. I am engaging in research with real-world applications in the biopharma field. Aganitha values individual contributions while fostering a strong collaborative culture and this has helped my professional growth tremendously. The dynamic work environment, the supportive peers, the interesting problem statements and the flexible work culture creates a thriving space for continuous learning and growth..”
Tamil Selvan Murugesan
"The leadership's hands-on approach and mentoring orientation create an environment where we are not defined by titles, but by the impact we make. Learning here is not just exponential; it's tetrational. The combination of trust, mentorship, and multidisciplinary collaboration has empowered me significantly, and I wish I had this kind of job as my first job."
Irum Hussain
"At Aganitha, my journey is one of continual learning and collaboration. From overcoming initial fears to experiencing exponential growth, supportive leadership and interactions with SMEs in biology and chemistry create an environment where I excelled in AI/ML, learnt biology and chemistry and contributed meaningfully to the projects. It's not just a workplace; it's a community fostering learning, growth, and a sense of achievement."
Ankur Singh
"At Aganitha, I've undergone a transformative journey from hardcore web and app development to ML/data science engineering. Opting for a year-long internship here for my IIIT V thesis proved the best decision. Aganitha's unique ML role, coupled with DevOps, grabbed my attention. I've outpaced my peers' learning and growth, thanks to challenging tasks and research-oriented projects. The organization's open culture, supportive team, and great leadership. Working on both cheminformatics and bioinformatics projects has deepened my experience."
Praveen Jalaja
"In my journey at Aganitha, I've experienced a refreshing shift from my past role at a major IT Services firm. In just a year, I've gained more knowledge than in 3-4 years with the previous org. The emphasis on mastering basics before diving into projects is invigorating. Aganitha encourages collaboration across diverse teams (tech, biology, chemistry) and fosters approachable leadership, trust, and responsibility. With a cutting-edge tech stack and focus on ownership, Aganitha is an exciting hub for generative AI."
Open Positions
We are always looking for good people to join us. If you specialize in AI/ML, DevOps, Data Engineering, Biology, Chemistry, Biopharma, and feel that you can make a difference, please reach out to us. We are actively hiring for the following open positions
We are looking for someone who is comfortable with:
- Deep learning and classical ML methods
- Model development and serving with PyTorch/TF
- NLP and Knowledge mining
- AI/ML Ops pipelining
- Modular, typed and object-oriented Python programming
We are looking for someone who is comfortable with:
- Use case analysis, user analysis, user story development, web design, wire-framing
- Work on UX to UI design, asset development for web UIs, SCSS/CSS/JS development
- Work on React-based web application development, GraphQL, and visualization with frameworks such as D3.js
We are looking for someone who is comfortable with:
- Containerization and container orchestration with Kubernetes and Docker
- Automated provisioning of infrastructure with code using tools such as Terraform and AWS CloudFormation
- Work with AWS/GCP platforms and with HPC platforms such as SLURM/SGE
- Linux systems administration and configuration management
- Build management, CI/CD pipelining for Python, NodeJS, Java, Go, and C applications
- Database administration and storage management
We are looking for someone who is comfortable with:
- Understand and analyze disease studies, especially the ones associated with genomic disorders
- Understand and model biotech processes such as the ones used in the production of gene and cell therapies
- Explore, profile, and visualize bioinformatics datasets
- Understand and implement genomic data pipelines
- Define appropriate data models and identify relevant features for AI/ML model development
- Conduct qualitative analysis of model performance by defining the right data points for testing
- Develop narratives of data-driven analysis in Omics
- Effectively articulate and communicate domain knowledge to a cross-functional team. Participate in requirements gathering, design discussions, demos
- Learn and stay up-to-date on emerging technologies in the field. Research opportunities for the application of AI in the development of emerging therapeutic techniques
We are looking for someone comfortable with:
- Identify areas of application for AI in Chemistry & related Lifesciences
- Contribute to the development of AI-based solutions that serve as useful alternates or additions to existing Cheminformatics/computational chemistry methods & tools
- Leverage chemistry domain knowledge in formulating & interpreting the problem statement, understanding the nuances related to the problem, building a comprehensive methodology for solution development
- Enrich self as well as the team’s depth of understanding domain-related concepts through extensive reading, research, and communication
- Develop methods for data mining and performing analysis of large datasets (e.g., ZINC database)
- Apply the latest advances in AI to develop models (e.g., predicting reaction products, identifying novel reaction pathways, estimating reaction yields, etc)
We are looking for someone who is comfortable with:
- App dev with modern tech stacks of Python, ReactJS, and fit-for-purpose database technologies
- Big data engineering with distributed computing frameworks
- Data modeling in scientific domains, preferably in one or more of Genomics, Proteomics, Antibody engineering, Biological/Chemical synthesis and formulation, Clinical trials management
- Cloud and DevOps automation
- Machine learning and AI (Deep learning)
As a Lead Solutions Architect at Aganitha, you will:
- Engage and co-innovate with customers in BioPharma R&D
- Design and oversee implementation of solutions for BioPharma R&D
- Manage Engineering teams using Agile methodologies
- Enhance reuse with platforms, frameworks, and libraries
We are looking for someone who is comfortable with:
- Blending advances in multiple disciplines such as Omics, Structural Biology, Protein and Antibody Engineering, Computational Quantum Chemistry, AI/ML, and High-performance computing in the Cloud to help our global BioPharma customers accelerate design and development of SMOL, Antibody, Gene, Cell & RNA therapeutics. You will work with research leaders at our customer organizations, identify their needs and build solutions in collaboration with our internal technical and scientific teams.
- Engaging with customers to apply the latest scientific and technology advances for R&D acceleration, driving revenue growth for Aganitha in the process.