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
Opportunities for Technologists
Opportunities for Computational Scientists
Key areas of impact across drug discovery value chain from target discovery & validation to lead generation & optimization
Inspiring and Collaborative Culture
What our members say about us
Chanukya Nanduru
“What attracted me and continues to excite me is the way we combine concepts in Computer Science, AI, Biology, and Chemistry to solve tough problems in the biopharma industry. The strong guidance and hands-on collaboration by seasoned professionals working along with the young millennials to build the solutions helps all of us in our professional growth tremendously.”
Siva Kanishka
“I always believed that the culture of a company is not formed by defining a set of values and practices, but that it naturally evolves when employees understand and appreciate that their time & energy is worth investing in those two or three things that the company is targeting/doing. This is very evident and that’s what excites me to be part of the Aganitha team”.
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:
- 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:
- Perform advanced computational simulations (e.g., Periodic and non-periodic Quantum Mechanics, Atomistic and/or Coarse-grained variants of Molecular Dynamics, Monte Carlo, Brownian Dynamics, Langevin Dynamics, Dissipative Particle Dynamics, etc.) to understand stability, complex interactions and design principles relevant to various hard and soft matter systems e.g., inorganic/organic crystalline materials, surfactants, polymers, colloids, biomolecules, etc.
- Apply computational methods to materials design for various applications such as semiconductor devices, capture and storage of greenhouse gases, skin and body care formulations, excipients, etc.
- Conduct molecular modeling studies to investigate self-assembly phenomena and interactions between various components in the formulation of a material, such as surfactant or polymer interactions with diverse substrates (e.g., skin, hair, fabric).
- Interpret results from domain-specific simulations (e.g., MD, DFT) and structure the scientific data into features or descriptors—such as radial distribution functions, binding energies, surface areas, or density profiles—relevant for downstream AI/ML modeling of material properties or formulation performance.
- Understand, analyze, critique, and implement research papers, tailoring approaches to specific problem contexts.
- Develop clear and concise narratives of data-driven analyses performed using computational techniques.
- Effectively articulate and communicate complex domain knowledge to cross-functional teams. Participate actively in requirements gathering, design discussions, and demonstrations.
- Continuously learn and stay up-to-date on emerging technologies and scientific advancements in computational chemistry, materials science, and related fields—research opportunities for applying advanced computational methods to evolving industry challenges.
We are looking for someone comfortable with:
- Perform Molecular Dynamics (MD) simulations and Quantum Mechanics (QM) calculations to deeply understand biomolecular interactions (protein-ligand, lipid-protein, lipid-nucleic acid interactions, etc.), support small molecule or PROTAC design, facilitate catalyst design for chemical reactions, investigate complex chemical reaction mechanisms, and conduct polymorph screening.
- Define appropriate data models and identify relevant features for developing AI/ML-based models for predicting crucial properties such as ADMET (Absorption, Distribution, Metabolism, Excretion, Toxicity) profiles, lattice energies, reaction yields, and selectivity.
- Understand, analyze, critique, and implement cutting-edge research, effectively tailoring the approaches to specific problem contexts.
- Develop clear, concise, and compelling narratives of data-driven analyses performed using QM or MD techniques, making complex findings accessible.
- Effectively articulate and communicate intricate domain knowledge to a cross-functional team. Actively participate in requirements gathering, design discussions, and solution demonstrations.
- Continuously learn and stay up-to-date on emerging technologies and scientific advancements in computational chemistry and structural biology. Research opportunities for the application of AI in the development of emerging therapeutic techniques.
We are looking for someone comfortable with:
- Design and develop AI/ML models to solve complex problems in computational chemistry, such as predicting molecular properties, material behaviors, or reaction outcomes.
- Curate, process, and analyze scientific datasets from various sources, including literature and experimental data, ensuring data quality and readiness for model training.
- Develop intelligent featurization strategies that accurately represent chemical structures, physical properties, or biological interactions, drawing upon your scientific understanding.
- Implement, train, and evaluate cutting-edge Machine Learning and Deep Learning algorithms (e.g., CNNs, RNNs, LSTMs, Transformer architectures) to build robust predictive models.
- Rigorously validate models against client-provided data and established benchmarks, ensuring their accuracy, generalizability, and utility.
- Translate complex technical and scientific findings into clear, actionable insights for both technical and non-technical stakeholders.
- Collaborate effectively with computational chemists, data scientists, and wet lab scientists to define project requirements, iterate on solutions, and ensure successful deployment.
- Stay abreast of the latest advancements in AI/ML, computational chemistry, and relevant scientific domains, continuously seeking opportunities to apply new methodologies.
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.