Scientist work at Aganitha in AL/ML, genomics and biomedicine

The intersection of artificial intelligence and life sciences is rapidly transforming drug discovery and disease research. If you have a passion for applying AI modeling to biological and genomic data, this career opportunity for scientists at Aganitha could be just the ideal scientist job for you. Based in Hyderabad and employing a hybrid work model, this life sciences job allows scientists to work on cutting-edge computational biology, genomics, and machine learning solutions that accelerate biopharmaceutical innovation.

About Aghanita

Accelerate drug discovery and development for biopharmaceutical and biotechnology research and development. in silico Solutions powered by computational biology and chemistry, high-throughput science, AI, ML, HPC, cloud, data, and DevOps.

in silico Solutions are transforming the biopharmaceutical and biotech industry. Our team of cross-domain scientific and technical experts will initiate and industrialize this transformation. We are continually expanding our world-class multidisciplinary teams in genomics, AI, and cloud computing to accelerate drug discovery and development. In this dynamic environment, working at Scientist Jobs offers endless opportunities for innovation. We are driven by the joy of working at an innovation-rich, research-driven start-up company that bridges multiple disciplines to bring medicines to human use faster. We work with several innovative biopharmaceutical companies to expand our customer base globally. Read about how and what to do SOLUTIONS WE BUILD.

Aghanita (अगणित): Sanskrit for “innumerable” or “infinite”, it reminds and inspires us of the infinite possibilities that lie within each of us. Please work with us to bring out your best and grow endlessly!

Position 1: Scientist – AI Modeling (Bio/Genomics)

• position: hyderabad, india
• Job type: Hybrid |Full time

Role overview

We are looking for scientists who can apply AI/ML to biological and genomic data to solve real-world challenges in disease research and treatment. Additionally, those seeking a scientist position here must be passionate about bringing cutting-edge solutions to the life sciences.

main responsibilities

• Develop and deploy AI/ML models on large-scale biological and genomic datasets, leveraging deep learning and statistical approaches to generate predictive and disease-related insights. Remember that the work of scientists requires continuous innovation and collaboration.
• Design and perform population genomic analyzes (WES/WGS, GWAS, QTL, PRS, variant analysis) to understand disease mechanisms and identify clinically relevant signals.
• Apply in silico and AI-driven methods to support therapeutic discovery, biomarker identification, biological system modeling, and the design and optimization of antibodies, RNA, or related modalities. This role is an exceptional scientist job for those with a passion for innovative research.
• Curate, integrate, characterize, and preprocess complex datasets from experiments, literature, and public repositories to ensure high-quality input for modeling and analysis.
• Validate, benchmark, and interpret model outputs against biological data and research goals to transform results into actionable scientific insights.
• As is typical for scientists in this field, you’ll collaborate with cross-functional teams including bioinformaticians, computational chemists, data scientists, and wet lab researchers to deliver end-to-end solutions.
• Stay on top of advances in AI/ML, genomics, and computational biology and apply new techniques to improve research and discovery outcomes.

Required qualifications

• PhD/Postdoc in genomics, bioinformatics, computational biology, biochemistry, applied mathematics/statistics, or related field
• Strong Python programming skills with solid ML/DL fundamentals.
• Experience using statistical genomics tools (PLINK, HAIL, Glow) and large biological/genomic datasets.

Desired qualifications

• Experience using PyTorch, TensorFlow, or scikit-learn
• Exposure to HPC or cloud platforms (AWS, GCP, Azure), Linux environments, Docker
• If you have previous experience applying AI/ML to disease research, genomics, or therapeutic discovery, you may be a good candidate for Aganitha’s ideal Scientist role.

Apply online here

Position 2: Scientist (Statistical Genomics)

• position: hyderabad, india
• Job type: Hybrid |Full time

Role overview

Lead the design, analysis, and interpretation of population genomics studies using large-scale datasets (WES/WGS/eQTL/pQTL) to directly contribute to disease research and treatment development.

main responsibilities

• Leverage multimodal integrative analysis to design and execute population genomics studies for rare and complex disease research.
• Familiar with NGS data analysis – WGS/WES data, variant annotation and interpretation, QTL analysis (eQTL, pQTL, mQTL, sQTL)
• Genetic association analysis (GWAS) and downstream analysis (fine mapping, LD mapping, causal gene-phenotype correlation, Mendelian randomization)
• Strong statistical background – regression, glm, MDR, PCA predictive modeling, Bayesian statistics, SVM
• Experience with tools such as PLINK, GCTA, ANNOVAR, samtools, bcftools, GATK.
• Build and apply the pipeline below.
  • Variant calling and quality control
  • Genotype imputation and fst statistics
  • Haplotyping and linkage disequilibrium analysis
  • Variant annotation and gene ensemble testing (SKAT, load testing, etc.)
  • Polygenic Risk Score (PRS) Modeling – PRSice, LDPred2
• Utilize and interpret data from genomic and transcriptomic resources such as gnomAD, ClinVar, GWAS catalog, PRS catalog, etc.

Required qualifications

• PhD in genomics, statistical genetics, bioinformatics, or related field (or equivalent industry experience)
• Deep understanding of population genetics, statistical modeling, and interpretation of genomic data

Desired qualifications

• Programming experience in Python and/or R
• Experience working in an HPC environment or cloud platform (AWS, GCP, Azure).
• Pre-engage with complex and rare disease genomics or build pipelines optimized for translational research workflows

Apply online here

Position 3: Biomedical Image Analysis Scientist

• position: hyderabad, india
• Job type: Hybrid |Full time

Role overview

We are looking for a motivated biomedical image analysis scientist to join our multidisciplinary team of AI researchers and computational scientists. We develop and apply advanced image processing and AI/ML techniques to analyze biomedical, histopathology, and microscopy data to support scientific discovery and therapeutic development.

main responsibilities

• Design, implement, and optimize algorithms for biomedical image analysis using deep learning and computer vision techniques (CNN, transformers, diffusion models, etc.).
• Manipulate multimodal datasets such as cell images, microscopy, MRI, CT, EEG, ECG, and histopathology slides to extract meaningful biological or clinical insights.
• Develop automated image and waveform segmentation, classification, and feature extraction workflows.
• Collaborate with biologists, chemists, and AI engineers to integrate image data with omics and molecular datasets.
• Contributes to building scalable pipelines for image data preprocessing, model training, and deployment.
• Validate the model against experimental data and check the reproducibility of the results.
• Stay on top of advances in biomedical imaging, AI/ML architectures, and data integration methods.

Required qualifications

• Strong background in biomedical engineering, computer science, electrical engineering, biophysics, computational biology, or related field.
• PhD or Master’s degree with experience in biomedical image analysis or computer vision.
• Hands-on experience with Python, PyTorch (or TensorFlow), OpenCV, and scikit-image.
• Experience with microscopy, histopathology, and radiology image datasets. Knowledge of image preprocessing, segmentation, and processing of 3D/volume data.
• Familiarity with data annotation, weak supervision, or multimodal learning is an advantage.
• Excellent communication and problem solving skills.

skills and competencies

• Experience integrating imaging data with omics, clinical, or molecular datasets.
• Experience deploying ML models or using MLOps tools (MLFlow, ClearML, etc.).
• Publications or open source contributions in biomedical imaging or computational biology.

Apply online here

Position 4: Scientist – Bioinformatics, Computational Biology

• position: hyderabad, india

main responsibilities

Develop and apply AI and computational models in the design and development of SMOL, mAb, gene and RNA therapeutics.

We are specifically looking for a Ph.D. Postdoctoral candidates who can contribute to the following areas:

1. Disease research to identify new targets, elucidate mechanisms of action, and stratify patient populations by harnessing the power of:
   • Single-cell multi-omics (scRNA-seq, proteomics, spatial omics, epigenomics, etc.)
   • Whole genome sequencing (WGS) and proteogenomics
   • High-throughput preclinical experimental datasets
2. de novo Design, characterization, and optimization of therapeutic candidates in silico Use computational omics and chemical models and AI. example:
   • antibody engineering
   • RNA design and optimization
   • Optimizing viral vectors for advanced cell and gene therapy
3. Analysis and optimization of biosynthetic reactions using the power of AI/ML and computational modeling of fundamental cellular processes.

Academic background

• PhD candidate in computational biology or related field.

Apply online here