Antarip Halder

Product Manager

Bengaluru, Karnataka, India15 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in AI-augmented molecular modeling and simulation.
Led cross-functional teams in drug discovery projects.
Passionate about mentoring and building technical organizations.

Stackforce AI infers this person is a leader in AI-driven biopharma and computational chemistry.

Contact

Skills

Core Skills

Ai-augmented Molecular ModelingSimulation PlatformsComputational ChemistryDrug DiscoveryFragment-based Drug DesignAi-driven Drug DiscoveryIn Silico DesignThermodynamicsMolecular DynamicsNucleic Acid ResearchMolecular Design

Other Skills

physics-based innovationdigital R&D capabilitiesbusiness impactin silico platformsAI integrationgenerative AIsmall-molecule drug modalitiesHPC DevOps infrastructurecomputational chemistry workflowsAI-driven drug discovery pipelinescrystal structure predictionin silico design platformAI/ML-driven pipelinesdrug-target interactionskinetics

About

I am a Senior Scientist focused on architecting AI-augmented molecular modeling and simulation platforms that strengthen R&D productivity across biopharma, formulation science, and materials innovation. My expertise spans physics-based modeling, ML-enabled workflows, and scalable scientific software systems. I lead the development of computational capabilities that evolve from exploratory research into repeatable platforms and products, translating complex scientific problems into structured roadmaps, deployable solutions, and measurable business impact through cross-functional collaboration. I am passionate about building durable technical organizations, mentoring talent, and advancing digital R&D strategies grounded in scientific rigor and operational scalability.

Experience

15 yrs 9 mos

Total Experience

Average Tenure

4 yrs 3 mos

Current Experience

Aganitha

5 roles

Senior Scientist 2

Promoted

Jun 2025 – Present · 10 mos

Leading the design and delivery of AI-augmented molecular modeling and simulation platforms, translating advanced physics-based innovation into scalable digital R&D capabilities and measurable business impact across biopharma, consumer, and materials domains.

AI-augmented molecular modelingsimulation platformsphysics-based innovationdigital R&D capabilitiesbusiness impact

Senior Scientist 1

Apr 2024 – Jul 2025 · 1 yr 3 mos

Spearheaded the development of a suite of in silico platforms by leading a cross-functional team of software engineers, computational chemists, and biologists. These platforms integrate AI and first-principles-based methods to accelerate small-molecule drug discovery.
Planned and supervised the execution of multiple computational chemistry and AI-driven projects, leveraging the in-house developed suite of tools for drug discovery in biopharma and formulation design in personal & home care industries.

in silico platformsAI integrationcomputational chemistrydrug discovery

Scientist 2

Apr 2023 – Mar 2024 · 11 mos

- Orchestrated the development of an in-house Fragment-Based Drug Design (FBDD) approach by integrating generative AI and computational chemistry, managing a cross-functional team of data scientists and computational chemists. Applied this approach to design diverse small-molecule drug modalities—including noncovalent, covalent, and PROTACs—targeting various oncology-relevant proteins.

Fragment-Based Drug Designgenerative AIcomputational chemistrysmall-molecule drug modalities

Scientist 1

Promoted

Jul 2022 – Mar 2023 · 8 mos

Developed HPC DevOps infrastructure to enable high-throughput computational chemistry workflows for quantum and molecular simulations.
Designed AI-driven drug discovery pipelines, integrating GenAI models for de novo molecule generation in GPCR target pockets while ensuring medicinal chemistry relevance.
Established blueprints for in silico Crystal Structure Prediction pipeline, leading the development of crystal structure prediction and molecular conformer detection pipelines.

HPC DevOps infrastructurecomputational chemistry workflowsAI-driven drug discovery pipelinescrystal structure predictioncomputational chemistryAI-driven drug discovery

Junior Scientist 2

Oct 2021 – Jun 2022 · 8 mos

Developed an in silico design platform for mRNA-based therapeutics, designed AI/ML-driven pipelines for small molecule drug discovery, and modelled drug-target interactions

in silico design platformAI/ML-driven pipelinesdrug-target interactionsin silico designdrug discovery

Indian institute of science (iisc)

Postdoctoral Research Associate

Jul 2018 – Sep 2021 · 3 yrs 2 mos · Bengaluru Area, India · On-site

Research area: Studying the thermodynamics and kinetics of RNA folding process using different molecular dynamics based approaches
Fellowship: Department of Biotechnology Research associate (DBT-RA)

thermodynamicskineticsmolecular dynamics

Iiit hyderabad

5 roles

CSIR- Senior Research Fellow

Promoted

Aug 2016 – Jun 2018 · 1 yr 10 mos · Hyderabad Area, India

Working on my doctoral thesis. The overall goal for the doctoral thesis may be summed up as follows,
Understanding the electronic structures of different natural and synthetic nucleic acid base pairs
and correlating them with their physicochemical consequences.
Exploring the possibility of designing molecular switches and other nano electronic devices based
on natural and synthetic nucleobases or base pairs.

electronic structuresnucleic acid base pairsmolecular switchesnucleic acid researchmolecular design

CSIR - Junior Research Fellow

Promoted

Aug 2014 – Jul 2016 · 1 yr 11 mos · Hyderabad Area, India

Working on my doctoral thesis. The overall goal for the doctoral thesis may be summed up as follows,
Understanding the electronic structures of different natural and synthetic nucleic acid base pairs
and correlating them with their physicochemical consequences.
Exploring the possibility of designing molecular switches and other nano electronic devices based
on natural and synthetic nucleobases or base pairs.

Project Programmer/JRF

May 2012 – Jul 2014 · 2 yrs 2 mos · Hyderabad Area, India

Project: Computational core for plant metabolomics (http://metabolomics.iiit.ac.in/)
Funding agency: Department of Biotechnology, Govt. Of India.
My contribution: Handling the coordination between the IT team and Bio team. Testing of the biostatistical results and usability of the portal.

Teaching Assistant

Promoted

Dec 2011 – Apr 2016 · 4 yrs 4 mos · Hyderabad Area, India

During PhD tenure:
Quantum Mechanics symmetry & Spectroscopy (Monsoon 2016), Selected Topics in Physical Chemistry (Spring 2016), Science Technology and Society (Spring 2015), Science Lab (Spring 2014), Advanced Biology (Monsoon 2013)
During MS and BTech tenure:
Algorithms in Bioinformatics (Spring 2013), Advanced Biology (Monsoon 2012), Science II (Spring 2012)

Undergraduate Research Assistant

Aug 2009 – Jul 2011 · 1 yr 11 mos · Hyderabad Area, India

Research Associate (RA) of Vitrual Labs project (http://vlab.co.in/) of Ministry of Human Resource Development, Govt. Of India.
Put in a major contribution in the development of Physical Sciences (August 2009 - January 2010) and Circular Dichroism Virtual Laboratory (October 2010 - July 2011) for IIIT Hyderabad.