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
Key Responsibilities
- End-to-End Ownership: Move from problem definition to abstractions, code, deployment, telemetry, and continuous improvement.
- Modern Backend Engineering: Build robust APIs and handle complex business rules using Node.js, Next.js, and modern TypeScript patterns.
- LLM Integration: Integrate Large Language Models (LLMs) and third-party services into production workflows to automate scientific research and internal operations.
- Cloud & DevOps: Take charge of the full lifecycle—deploying on the cloud, automating with Docker/Kubernetes, and setting up CI/CD pipelines and monitoring.
- Usability & Design: Care deeply about layout, clarity, and speed. Build interfaces that scientists and researchers trust and enjoy using.
- Automation: Constantly seek ways to automate work for yourself, your team, and the end-users.
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Role & Responsibilities:
- Business & Relationship Development: Build and manage relationships with biopharma companies, research institutes, and healthcare stakeholders to drive long-term engagement.
- Deal Structuring & Partnerships: Manage the lifecycle from lead generation to proposal development, negotiations, and execution of strategic collaborations and licensing discussions.
- Scientific-to-Business Translation: Translate complex scientific capabilities into compelling business value propositions for senior stakeholders and decision-makers.
- Knowledge of the Indian Ecosystem: Familiarity with local regulatory requirements, healthcare trends, and pharmaceutical market dynamics to navigate partnerships effectively.
- Cross-functional Collaboration: Work closely with marketing, operations, and technical teams to ensure alignment and seamless execution of initiatives.
- Stakeholder Influence: Engage and influence internal and external stakeholders to align on strategic priorities and partnership outcomes.
- External Representation: Represent the organization in conferences, partner meetings, and industry forums (travel may be required).
- Ownership & Resilience: Demonstrate persistence and accountability in managing longer sales cycles typical in scientific and research-led industries.
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, 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:
- 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.
We are looking for a QA Engineer to ensure the reliability and performance of our AI-driven platforms and applications by working closely with product, engineering, and research teams.
Key Responsibilities
- Understand product requirements and workflows with product and engineering teams
- Design and execute test cases for web applications, APIs, and data workflows
- Perform functional, regression, and system testing
- Identify and track defects using tools like JIRA
- Work with developers to validate fixes and support quality releases
We are looking for a proactive and detail-oriented Junior Management Trainee – AI & Science to support AI-driven scientific projects and project management activities across interdisciplinary teams.
Key Responsibilities:
- Coordinate day-to-day activities across AI, science, and project teams.
- Track project timelines, deliverables, and milestones to ensure smooth execution.
- Assist in reviewing scientific literature and preparing summaries, reports, and presentations.
- Maintain project documentation including meeting notes, action items, and progress updates.
- Support scheduling, communication, and follow-ups across teams.
- Prepare weekly reports, dashboards, and project updates for leadership.
- Identify and escalate project risks, delays, or blockers when required.
We are looking for a motivated Biomedical Image Analysis Scientist to join our interdisciplinary team of AI researchers and computational scientists. You will develop and apply advanced image processing and AI/ML techniques to analyze biomedical, histopathology, and microscopy data to support scientific discovery and therapeutic development.
Key Responsibilities
- Design, implement, and optimize algorithms for biomedical image analysis using deep learning and computer vision techniques (CNNs, transformers, diffusion models, etc.).
- Work on multi-modal datasets — including cellular images, microscopy, MRI, CT, EEG, ECG and histopathology slides — to extract meaningful biological or clinical insights.
- Develop automated image & waveform segmentation, classification, and feature extraction workflows.
- Collaborate with biologists, chemists, and AI engineers to integrate imaging data with omics and molecular datasets.
- Contribute to building scalable pipelines for image data preprocessing, model training, and deployment.
- Validate models against experimental data and ensure reproducibility of results.
- Stay current with advances in biomedical imaging, AI/ML architectures, and data integration methods.
We are looking for a Jr Product/Solutions Manager to support the development of AI-driven scientific solutions by collaborating with scientists, engineers, and product teams, and helping translate user needs into product features.
Key Responsibilities
- Support the definition and execution of product strategy and roadmap for AI-driven scientific solutions.
- Engage with scientists, researchers, and stakeholders to understand user needs and market opportunities.
- Assist in translating scientific and technical insights into scalable product features and solutions.
- Work closely with AI engineers, computational scientists, and product teams during product development.
- Conduct market and competitive research to identify product opportunities.
- Support go-to-market initiatives and collaborate with marketing and business teams.
- Help track product progress, gather feedback, and support continuous product improvement.