Job Openings

Bangalore

MTech/MS/MSc, has worked with Deep Neural Networks for their thesis

Has worked in the industry for at least 2-5 years as an Machine Learning Engineer

Professionals working in the industry in building Deep Neural Networks with a strong aptitude for coding and research would be ideal for the Research Software Engineer position.

MTech/MS/MSc in Computer Science or Mathematics related departments working on Deep Neural Networks as part of their Thesis and with a strong aptitude for coding would be ideal for the Research Software Engineer position.

This position requires strong coding expertise using PyTorch or TensorFlow.

Applicants with hands-on experience in building Diffusion, Graph Neural Networks or Point Cloud Architectures would be given higher priority.

Designing and implementing deep learning algorithms from scratch to solve unique problems

• Please note: this in a research and  engineering position and not a data analytics or MLOps opening

Write extensive code from scratch for Training, Inference, Data Analysis and Processing

Understanding and deriving mathematical equations

Exhaustive literature review of existing machine learning and deep learning approaches

Understanding data and refining feature set

Learning and Adapting Fast in an early stage start-up

End to end responsibility of R&D, Designing, Development, Testing and Release of products

Working in cross-domain team with software engineers, immunologists, biochemists and bioinformaticians

Hands-on experience in writing code in one or more programming languages (preferably Python)

Prior professional experience in building custom Deep Neural Networks from scratch

Strong Software Engineering, Machine Learning and Mathematical skills

Prior experience with PyTorch or TensorFlow

Can work and communicate in a cross-domain team

Ability to explore new problem statements

Open to learn and explore new avenues

Prior professional experience in building custom Diffusion models

Prior professional experience in building custom Graph Neural Network models

Prior professional experience in building custom Point Cloud Architectures

Bangalore

Full Time, R&D lab

Ph.D. in molecular biology and biochemistry or related fields

M.Sc. with 4+ years of industry experience in the relevant field

We are seeking a motivated, self driven scientist with proven experience in developing high-throughput screening assays to validate our AI-predicted antibody sequences

Perform Phage Display based screening platform

Perform protein analytical characterisation using CD Spectroscopy , Dynamic Light Scattering (DLS), Differential Scanning Fluorimetry (DSF), Mass spectroscopy

Proficiency in SPR and or BLI for protein-protein interaction studies

Experience in recombinant DNA technology, Protein expression and purification from bacterial and mammalian expression system

Collaborate with computational and biology teams to select and validate leads

Literature review and analysis of the latest publications in the domain

Maintain accurate lab records, analyze data, and present findings in internal meetings

Contribute to writing SOPs, reports, and documentation for IP filings and publications

Strong understanding of protein chemical features and structural characteristics.

Well versed in structural biology-related bioinformatics tools including PyMol, Chimera and MODELLER

Open to learn and explore new ways/approaches to solve complex problems

Should be comfortable working in a team environment and engaging in cross-functional interactions with team members

Must be flexible and adaptable to handle multiple responsibilities in alignment with the dynamic demands of a start-up work culture

Experience in mammalian cell culture maintenance is desirable

Opportunity to work at the cutting edge of AI-powered antibody discovery

A collaborative, growth-focused work culture

Encourage open discussion, innovation and the freedom to explore new ideas

Bangalore

Full Time, R&D lab

Ph.D. in cancer & immunology, diseases biology related domains 

M.Sc. with 4+ years of industry experience in the relevant field 

We are seeking a motivated, self driven scientist to support the selection of novel, disease relevant targets and the establishment of functional assays for validating our AI-predicted antibody sequences

Play a key role in target selection by providing experimental validation and lab-based research

Proficiency in advanced molecular and cellular techniques such as real-time PCR (qPCR) and flow cytometry for gene expression analysis

Immune cells based functional assays, drug screening and functional efficacy evaluation in vitro 2D & 3D cell culture model

Experience in  working with immune cell lines/PBMCs,  CAR-T and CRISPR technologies is desirable

Experience in preclinical mice models is advantageous. 

RNA seq & gene expression analysis is desirable 

Literature review, analysis of the pre-clinical and clinical trial data and latest publications in the domain

Maintain accurate lab records, analyze data, and present findings in internal meetings

Contribute to writing SOPs, reports, and documentation for IP filings or publications

Well versed with oncology related databases including TCGA, Globocan, TIMER 2.0. 

Open to learn and explore new ways/approaches to solve complex problems

Should be comfortable working in a team environment and engaging in cross-functional interactions with team members

Must be flexible and adaptable to handle multiple responsibilities in alignment with the dynamic demands of a start-up work culture

Opportunity to work at the cutting edge of AI-powered antibody discovery

A collaborative, growth-focused work culture

Encourage open discussion, innovation and the freedom to explore new ideas

Bangalore

Full Time, R&D lab

M.Sc. in Biochemistry, Biotechnology, Molecular Biology, Life Sciences, or related fields

0-2 years of relevant research or industry experience

Perform molecular biology workflows including recombinant DNA cloning, plasmid DNA preparation, PCR, and related techniques

Carry out protein expression and purification from bacterial expression systems

Support phage display-based screening workflows for identification and validation of antibody binders

Assist in protein-protein interaction studies using SPR and/or BLI platforms

Support protein characterization experiments using techniques such as CD Spectroscopy, Dynamic Light Scattering (DLS), and Differential Scanning Fluorimetry (DSF)

Maintain accurate experimental records and organized laboratory documentation

Analyze and present experimental data through reports, presentations, and team discussions

Collaborate with biology and computational teams for experimental execution and data generation

Perform literature review and summarize relevant scientific findings

Exposure to mammalian expression systems and mammalian cell culture techniques will be an added advantage

Prior hands-on experience in protein purification, phage display, or biophysical characterization techniques will be an advantage

Exposure to mammalian cell culture techniques is desirable

Opportunity to work at the forefront of AI-driven antibody discovery

Exposure to interdisciplinary research in protein science and therapeutic development

Collaborative and innovation-driven work culture

Learning-oriented environment with opportunities for scientific growth and skill development