The intersection of artificial intelligence and life sciences is rapidly transforming drug discovery and disease research. If you are passionate about applying AI Modeling to biological and genomic data, this career opportunity for scientists to work at Aganitha could truly be the ideal Scientist Job for you. Based in Hyderabad with a hybrid work model, this Life Sciences Job allows scientists to work on cutting-edge computational biology, genomics, and machine learning solutions that accelerate biopharma innovation.
About Aganitha
Accelerate drug discovery and development for Biopharma and Biotech R&D with in silico solutions leveraging Computational Biology & Chemistry, High throughput Sciences, AI, ML, HPC, Cloud, Data, and DevOps.
In silico solutions are transforming the biopharma and biotech industries. Our cross-domain science and technology team of experts embarks upon and industrializes this transformation. We continually expand our world-class multi-disciplinary team in Genomics, AI, and Cloud computing, accelerating drug discovery and development. In this dynamic environment, working in a Scientist Job opens limitless opportunities for innovation. What drives us is the joy of working in an innovation-rich, research-powered startup bridging multiple disciplines to bring medicines faster for human use. We are working with several innovative Biopharma companies and expanding our client base globally. Read about how and what solutions we build.
Aganitha (अगणित): “countless” or “limitless” in Sanskrit serves as a reminder and inspiration about the limitless potential in each one of us. Come join us to bring out your best and be limitless!
Table of Contents
POSITION 1 : Scientist- AI Modeling (Bio/Genomics)
- Location: 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 therapeutics. Furthermore, those aiming for a Scientist Job here should be eager to bring cutting-edge solutions to life sciences.
Key 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-relevant insights. Of note, your Scientist Job will require continual innovation and collaboration.
- Design and execute population genomics analyses (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, modeling biological systems, designing and optimizing antibodies, RNA, or related modalities. This role is an exceptional Scientist Job for those passionate about innovative research.
- Curate, integrate, featurise, and preprocess complex datasets from experiments, literature, and public repositories to ensure high-quality inputs for modeling and analysis.
- Validate, benchmark, and interpret model outputs against biological data and research objectives, translating results into actionable scientific insights.
- Collaborate with cross-functional teams, including bioinformaticians, computational chemists, data scientists, and wet-lab researchers, to deliver end-to-end solutions, as is common for anyone holding a Scientist Job in this field.
- Stay current with advancements in AI/ML, genomics, and computational biology, and apply emerging methods to enhance research and discovery outcomes.
Required Qualifications
- PhD / Postdoc in Genomics, Bioinformatics, Computational Biology, Biochemistry, Applied Mathematics/Statistics, or related fields
- Strong Python programming skills with solid ML/DL fundamentals
- Experience working with statistical genomics tools (PLINK, HAIL, Glow) and large biological/genomic datasets
Preferred Qualifications
- Experience with PyTorch, TensorFlow, or scikit-learn
- Exposure to HPC or cloud platforms (AWS, GCP, Azure), Linux environments, and Docker
- Prior experience applying AI/ML in disease research, genomics, or therapeutic discovery may align you with the ideal Scientist Job at Aganitha.
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POSITION 2: Scientist (Statistical Genomics)
- Location: Hyderabad, India
- Job Type: Hybrid | Full-Time
Role Overview
You will lead the design, analysis, and interpretation of population genomics studies using large-scale datasets (WES/WGS/eQTL/pQTL), contributing directly to disease research and therapeutic development.
Key Responsibilities
- Design and execute population genomics studies for rare and complex disease research leveraging multi-modal integrative analyses
- Well versed with NGS data analyses- WGS/ WES data, variant annotation and interpretation, QTL analyses (eQTL, pQTL, mQTL, sQTL)
- Genetic association analyses (GWAS) and downstream analyses (fine-mapping, LD mapping, causal gene-phenotype correlation, Mendelian randomization)
- Strong statistical background- regression, glm, MDR, PCA prediction modelling, Bayesian statistics, SVM
- Prior experience in tools like PLINK, GCTA, ANNOVAR, samtools, bcftools, GATK
- Build and apply pipelines for:
- Variant calling and quality control
- Genotype imputation and fst statistics
- Haplotyping and linkage disequilibrium analysis
- Variant annotation and gene-aggregate testing (SKAT, burden tests, etc.)
- Polygenic risk score (PRS) modelling- PRSice, LDPred2
- Utilize and interpret data from genomic and transcriptomic resources such as gnomAD, ClinVar, GWAS Catalog, and PRS Catalog
Required Qualifications
- Ph.D. in Genomics, Statistical Genetics, Bioinformatics, or a related discipline (or equivalent industry experience)
- Strong understanding of population genetics, statistical modeling, and genomic data interpretation
Preferred Qualifications
- Programming experience in Python and/or R
- Experience working in HPC environments or cloud platforms (AWS, GCP, Azure)
- Prior exposure to complex and rare disease genomics or building optimised pipelines for translational research workflows
APPLY ONLINE HERE
POSITION 3: Biomedical Image Analysis Scientist
- Location: Hyderabad, India
- Job Type: Hybrid | Full-Time
Role Overview
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.
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 3D/volumetric data handling.
- Familiarity with data annotation, weak supervision, or multi-modal learning is a plus.
- Excellent communication and problem-solving skills.
Skills & Competencies
- Prior experience integrating image data with omics, clinical, or molecular datasets.
- Experience deploying ML models or using MLOps tools (e.g., MLFlow, ClearML).
- Publications or open-source contributions in biomedical imaging or computational biology.
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POSITION 4: Scientist – Bioinformatics, Computational Biology
- Location: Hyderabad, India
Key Responsibilities
Develop and apply AI & computational models in SMOL, mAb, Gene & RNA therapy design and development.
We are specifically looking for Ph.D. & Postdoc candidates who can contribute to the following areas:
- Disease studies to identify new targets, uncover mechanisms of action and stratify patient populations using the power of:
- Single-cell multi-omics (scRNA-seq, Proteomics, Spatial Omics, Epigenomics …)
- Whole genome sequencing (WGS) and Proteogenomics
- High-throughput pre-clinical experimentation datasets
- De novo design, characterization, and optimization of therapeutic candidates in silico using computational omics and chemistry models and AI, e.g:
- Antibody engineering
- RNA design and optimization
- Viral Vector optimization for advanced cell and gene therapies
- Analysis and optimisation of biosynthetic reactions using the power of AI/ML and computational modelling of underlying cellular processes.
Educational Qualifications
- Ph.D. candidates in Computational Biology or related fields.
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