10 Computational Biology jobs in India
Bioinformatics Intern
Hyderabad, Andhra Pradesh
GIT Tech
Job Viewed
Job Description
**Job Description: Bioinformatics Intern (Customer Discovery and Machine Learning)**
**Position**: Bioinformatics Intern
**Location**: Begumpet, Hyderabad
**Duration**: 3-4 months
**Compensation**: Paid / Stipend-based
**Start Date**: Flexible
**About Us**:
Git Tech, a forward-thinking startup in the biotechnology and AI space, is developing cutting-edge solutions for early detection of neurodegenerative diseases, including Parkinson’s disease. We leverage artificial intelligence (AI) and machine learning (ML) techniques on multimodal healthcare data to build software as a medical device (SaMD). We are seeking highly motivated **Bioinformatics Interns** to support our customer discovery efforts and assist in the development of ML algorithms.
**Position Overview**:
We are looking for fresh graduates or students pursuing a Master's degree in Bioinformatics or related fields to join our team as interns. The role is multidisciplinary, involving both **customer discovery** (understanding user needs) and **machine learning development** (building AI models for medical data). This is an excellent opportunity for those looking to gain hands-on experience in both technical development and product-market fit research.
**Key Responsibilities**:Customer Discovery**:
- Conduct user research by interviewing patients, clinicians, and other stakeholders in the healthcare industry.
- Collect and analyze feedback to identify pain points and opportunities in the market.
- Translate customer insights into technical requirements for product development.
- Assist in the design and deployment of surveys/questionnaires to gather large-scale user data.
- Collaborate with the team to define customer personas and potential market segments.
**Machine Learning & Bioinformatics**:
- Analyze complex biological and clinical data related to Parkinson’s disease, such as genomic, proteomic, or clinical data.
- Preprocess and clean multimodal datasets for machine learning analysis.
- Assist in building and optimizing AI algorithms for predictive modeling of Parkinson’s disease.
- Collaborate with data scientists and engineers to deploy models into a production environment.
- Document and communicate research results, including data visualizations and technical reports.
**Required Qualifications**:
- **Pursuing or recently graduated** with a Master’s degree in Bioinformatics, Computational Biology, Data Science, or related fields.
- **Strong understanding** of biological datasets (genomic, proteomic, etc.) and experience in bioinformatics tools.
- **Proficiency in programming languages** such as Python or R, particularly for data analysis and machine learning.
- Experience with **machine learning frameworks** (e.g., TensorFlow, Keras, scikit-learn).
- **Basic understanding** of AI/ML concepts such as supervised learning, classification, regression, and clustering.
- Excellent **analytical and problem-solving skills** with attention to detail.
- Ability to communicate technical concepts to non-technical stakeholders.
**Preferred Qualifications**:
- Experience with **cloud-based platforms** for data analysis (e.g., AWS, Google Cloud).
- Exposure to healthcare or clinical datasets and experience in processing multimodal data.
- Familiarity with **customer discovery** methods, including conducting interviews and gathering user feedback.
- Knowledge of **statistical analysis** and data visualization tools (e.g., Pandas, Matplotlib, Seaborn).
- Understanding of **neurodegenerative diseases** like Parkinson’s disease is a plus.
**Soft Skills**:
- Strong **communication skills** for interacting with customers and stakeholders.
- **Team-oriented** with the ability to work collaboratively in a fast-paced, dynamic environment.
- **Curiosity** and willingness to learn and adapt to new challenges.
- **Time management** skills to handle both customer discovery and technical tasks efficiently.
**What We Offer**:
- Opportunity to work on a **real-world AI-based project** in healthcare and bioinformatics.
- Mentorship from experienced professionals in **bioinformatics**, **AI**, and **product development**.
- Hands-on experience with both **customer discovery** and **machine learning development**.
- Potential opportunity for **full-time employment** or an extended contract based on performance.
- A **collaborative work environment** where innovation and creativity are encouraged.
Pay: ₹15,000.00 per month
Schedule:
- Day shift
**Experience**:
- total work: 1 year (required)
Work Location: In person
**Position**: Bioinformatics Intern
**Location**: Begumpet, Hyderabad
**Duration**: 3-4 months
**Compensation**: Paid / Stipend-based
**Start Date**: Flexible
**About Us**:
Git Tech, a forward-thinking startup in the biotechnology and AI space, is developing cutting-edge solutions for early detection of neurodegenerative diseases, including Parkinson’s disease. We leverage artificial intelligence (AI) and machine learning (ML) techniques on multimodal healthcare data to build software as a medical device (SaMD). We are seeking highly motivated **Bioinformatics Interns** to support our customer discovery efforts and assist in the development of ML algorithms.
**Position Overview**:
We are looking for fresh graduates or students pursuing a Master's degree in Bioinformatics or related fields to join our team as interns. The role is multidisciplinary, involving both **customer discovery** (understanding user needs) and **machine learning development** (building AI models for medical data). This is an excellent opportunity for those looking to gain hands-on experience in both technical development and product-market fit research.
**Key Responsibilities**:Customer Discovery**:
- Conduct user research by interviewing patients, clinicians, and other stakeholders in the healthcare industry.
- Collect and analyze feedback to identify pain points and opportunities in the market.
- Translate customer insights into technical requirements for product development.
- Assist in the design and deployment of surveys/questionnaires to gather large-scale user data.
- Collaborate with the team to define customer personas and potential market segments.
**Machine Learning & Bioinformatics**:
- Analyze complex biological and clinical data related to Parkinson’s disease, such as genomic, proteomic, or clinical data.
- Preprocess and clean multimodal datasets for machine learning analysis.
- Assist in building and optimizing AI algorithms for predictive modeling of Parkinson’s disease.
- Collaborate with data scientists and engineers to deploy models into a production environment.
- Document and communicate research results, including data visualizations and technical reports.
**Required Qualifications**:
- **Pursuing or recently graduated** with a Master’s degree in Bioinformatics, Computational Biology, Data Science, or related fields.
- **Strong understanding** of biological datasets (genomic, proteomic, etc.) and experience in bioinformatics tools.
- **Proficiency in programming languages** such as Python or R, particularly for data analysis and machine learning.
- Experience with **machine learning frameworks** (e.g., TensorFlow, Keras, scikit-learn).
- **Basic understanding** of AI/ML concepts such as supervised learning, classification, regression, and clustering.
- Excellent **analytical and problem-solving skills** with attention to detail.
- Ability to communicate technical concepts to non-technical stakeholders.
**Preferred Qualifications**:
- Experience with **cloud-based platforms** for data analysis (e.g., AWS, Google Cloud).
- Exposure to healthcare or clinical datasets and experience in processing multimodal data.
- Familiarity with **customer discovery** methods, including conducting interviews and gathering user feedback.
- Knowledge of **statistical analysis** and data visualization tools (e.g., Pandas, Matplotlib, Seaborn).
- Understanding of **neurodegenerative diseases** like Parkinson’s disease is a plus.
**Soft Skills**:
- Strong **communication skills** for interacting with customers and stakeholders.
- **Team-oriented** with the ability to work collaboratively in a fast-paced, dynamic environment.
- **Curiosity** and willingness to learn and adapt to new challenges.
- **Time management** skills to handle both customer discovery and technical tasks efficiently.
**What We Offer**:
- Opportunity to work on a **real-world AI-based project** in healthcare and bioinformatics.
- Mentorship from experienced professionals in **bioinformatics**, **AI**, and **product development**.
- Hands-on experience with both **customer discovery** and **machine learning development**.
- Potential opportunity for **full-time employment** or an extended contract based on performance.
- A **collaborative work environment** where innovation and creativity are encouraged.
Pay: ₹15,000.00 per month
Schedule:
- Day shift
**Experience**:
- total work: 1 year (required)
Work Location: In person
This advertiser has chosen not to accept applicants from your region.
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Faculty in Computational Biology
Hyderabad, Andhra Pradesh
Mahindra University
Posted today
Job Viewed
Job Description
An academic ecosystem neighboring Tech Mahindra as well as the Hub of Life Sciences (Hyderabad), housing Genome Valley, Medical Devices Park, and Pharma City nurturing more than 800 life sciences companies with US$ 50 billion combined value.
- Computational Drug & Biomarkers Discovery
- Metabolic Network Modelling
- Biomedical & Clinical Informatics
- Algorithms in Structural Bioinformatics
- Computational Drug & Biomarkers Discovery
- Metabolic Network Modelling
- Biomedical & Clinical Informatics
- Algorithms in Structural Bioinformatics
This advertiser has chosen not to accept applicants from your region.
0
Scientist (Bioinformatics & Computational Biology)
Hyderabad, Andhra Pradesh
Aganitha AI
Posted today
Job Viewed
Job Description
**Join us and contribute to the discovery of medicines that will impact lives!**:
**Hyderabad, India**:
**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 embark upon and industrialize this transformation. We continually expand our world-class multi-disciplinary team in Genomics, AI, and Cloud computing, accelerating drug discovery and development. 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!_
**Key Responsibilities**:
- ** 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
- Antibody engineering
- RNA design and optimization
- Viral Vector optimization for advanced cell and gene therapies
- ** Analysis and optimisation of bio-synthesis reactions using the power of AI/ML and computational modelling of underlying cellular processes.**
**Educational Qualifications**:
**Hyderabad, India**:
**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 embark upon and industrialize this transformation. We continually expand our world-class multi-disciplinary team in Genomics, AI, and Cloud computing, accelerating drug discovery and development. 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!_
**Key Responsibilities**:
- ** 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
- Antibody engineering
- RNA design and optimization
- Viral Vector optimization for advanced cell and gene therapies
- ** Analysis and optimisation of bio-synthesis reactions using the power of AI/ML and computational modelling of underlying cellular processes.**
**Educational Qualifications**:
This advertiser has chosen not to accept applicants from your region.
1
Senior Research Scientist - Computational Biology
570007 Mysore, Karnataka
₹1200000 Annually
WhatJobs
Posted today
Job Viewed
Job Description
Our client, a pioneering scientific research organization, is seeking an exceptional Senior Research Scientist with expertise in Computational Biology to join their innovative, fully remote team. This pivotal role will be at the forefront of groundbreaking research, focusing on the analysis of large-scale genomic and proteomic datasets to unravel complex biological mechanisms and identify novel therapeutic targets. You will be responsible for designing and implementing advanced bioinformatics pipelines, developing predictive models, and collaborating with cross-functional research teams to drive project objectives. The ideal candidate will possess a PhD in Computational Biology, Bioinformatics, Computer Science, or a closely related field, coupled with a strong publication record demonstrating significant contributions to the field. Expertise in programming languages such as Python or R, proficiency with high-performance computing environments, and extensive experience with various statistical and machine learning techniques are essential. You will be expected to lead independent research projects, mentor junior scientists, and effectively communicate complex findings to both technical and non-technical audiences through presentations and publications. This is a unique opportunity to contribute to cutting-edge scientific discovery in a remote-first setting, offering unparalleled flexibility and the chance to work with a world-class team of scientists without geographical limitations. The role requires exceptional problem-solving skills, a deep understanding of biological systems, and the ability to work autonomously while contributing to a collaborative research culture.
Key Responsibilities:
Key Responsibilities:
- Develop and implement novel computational methodologies for analyzing omics data.
- Design and execute bioinformatics pipelines for genomic, transcriptomic, and proteomic data analysis.
- Build and validate machine learning models for biological prediction and classification.
- Collaborate with experimental biologists to interpret results and design follow-up studies.
- Present research findings at international conferences and publish in high-impact journals.
- Mentor and guide junior researchers and data scientists.
- PhD in Computational Biology, Bioinformatics, or a related quantitative field.
- 5+ years of post-doctoral or industry research experience.
- Proficiency in Python or R for data analysis and visualization.
- Experience with cloud computing platforms (AWS, GCP) and containerization (Docker).
- Strong statistical and machine learning background.
- Excellent written and verbal communication skills.
This advertiser has chosen not to accept applicants from your region.
2
Academic Specialist – AI ML Computational Biology & NGS Data Analysis
Bengaluru, Karnataka
BioTecNika
Posted 1 day ago
Job Viewed
Job Description
Role Overview:
- We are seeking PhD-level AI, ML, and NGS experts with strong academic and practical experience in computational biology and advanced biological data analysis.
This dual role involves:
- Training & Mentoring Students in AI/ML applications in biology, genomics, NGS data analysis, and multi-omics integration.
- Leading Research as a Principal Investigator (PI) for student-driven and institute-led projects.
- Contributing to CRO Projects , delivering client-ready, high-impact solutions.
Key Responsibilities:
- Develop and deliver hands-on, advanced training modules in AI, ML, computational biology , and NGS data analysis.
- Supervise and mentor students through multi-omics research projects , ensuring high academic and industry standards.
- Drive CRO research deliverables, ensuring accuracy, innovation, and timely completion.
- Create custom bioinformatics pipelines integrating AI/ML for complex biological datasets.
- Stay ahead of emerging trends in genomics , AI/ML in biology, and computational technologies.
- Collaborate in curriculum development, research partnerships, and publication efforts.
Eligibility & Qualifications (Strict Criteria):
- PhD (preferred) in Computational Biology, Genomics, AI/ML in Life Sciences , or a closely related field. Exceptional postdocs may be considered.
- Master’s degree holders will be considered only if they have extensive hands-on experience in both AI/ML and NGS data analysis.
- Candidates with only a general Biotechnology or Bioinformatics background will NOT be considered unless they meet the following conditions:
- Proven hands-on AI/ML expertise (model building, deep learning, machine learning for biological datasets).
- Strong experience in NGS workflows (RNA-Seq, DNA-Seq, metagenomics) and multi-omics data integration.
- Proficiency in Python, R, BioPython, Bioconductor, and bioinformatics/omics tools.
- Experience with cloud-based or HPC computational platforms (AWS, GCP, etc.) preferred.
- Strong mentoring and communication skills.
Note: This role requires practical, demonstrable AI/ML + NGS skills. Theoretical knowledge without applied expertise will not be considered.
Why Join Us?
- Lead high-impact research while training the next generation of Bio-IT innovators.
- Be a Principal Investigator in both academic and industry projects.
- Collaborate on cutting-edge CRO research for global clients.
- Access opportunities for research publications and conference presentations.
This advertiser has chosen not to accept applicants from your region.
3
Academic Specialist – AI ML Computational Biology & NGS Data Analysis
Bengaluru, Karnataka
BioTecNika
Posted 1 day ago
Job Viewed
Job Description
Role Overview:
- We are seeking PhD-level AI, ML, and NGS experts with strong academic and practical experience in computational biology and advanced biological data analysis.
This dual role involves:
- Training & Mentoring Students in AI/ML applications in biology, genomics, NGS data analysis, and multi-omics integration.
- Leading Research as a Principal Investigator (PI) for student-driven and institute-led projects.
- Contributing to CRO Projects, delivering client-ready, high-impact solutions.
Key Responsibilities:
- Develop and deliver hands-on, advanced training modules in AI, ML, computational biology, and NGS data analysis.
- Supervise and mentor students through multi-omics research projects, ensuring high academic and industry standards.
- Drive CRO research deliverables, ensuring accuracy, innovation, and timely completion.
- Create custom bioinformatics pipelines integrating AI/ML for complex biological datasets.
- Stay ahead of emerging trends in genomics, AI/ML in biology, and computational technologies.
- Collaborate in curriculum development, research partnerships, and publication efforts.
Eligibility & Qualifications (Strict Criteria):
- PhD (preferred) in Computational Biology, Genomics, AI/ML in Life Sciences, or a closely related field. Exceptional postdocs may be considered.
- Master’s degree holders will be considered only if they have extensive hands-on experience in both AI/ML and NGS data analysis.
- Candidates with only a general Biotechnology or Bioinformatics background will NOT be considered unless they meet the following conditions:
- Proven hands-on AI/ML expertise (model building, deep learning, machine learning for biological datasets).
- Strong experience in NGS workflows (RNA-Seq, DNA-Seq, metagenomics) and multi-omics data integration.
- Proficiency in Python, R, BioPython, Bioconductor, and bioinformatics/omics tools.
- Experience with cloud-based or HPC computational platforms (AWS, GCP, etc.) preferred.
- Strong mentoring and communication skills.
Note: This role requires practical, demonstrable AI/ML + NGS skills. Theoretical knowledge without applied expertise will not be considered.
Why Join Us?
- Lead high-impact research while training the next generation of Bio-IT innovators.
- Be a Principal Investigator in both academic and industry projects.
- Collaborate on cutting-edge CRO research for global clients.
- Access opportunities for research publications and conference presentations.
This advertiser has chosen not to accept applicants from your region.
4
Academic specialist – ai ml computational biology & ngs data analysis
Bengaluru, Karnataka
BioTecNika
Posted today
Job Viewed
Job Description
Role Overview: We are seeking Ph D-level AI, ML, and NGS experts with strong academic and practical experience in computational biology and advanced biological data analysis. This dual role involves: Training & Mentoring Students in AI/ML applications in biology, genomics, NGS data analysis, and multi-omics integration. Leading Research as a Principal Investigator (PI) for student-driven and institute-led projects. Contributing to CRO Projects, delivering client-ready, high-impact solutions. Key Responsibilities: Develop and deliver hands-on, advanced training modules in AI, ML, computational biology, and NGS data analysis. Supervise and mentor students through multi-omics research projects, ensuring high academic and industry standards. Drive CRO research deliverables, ensuring accuracy, innovation, and timely completion. Create custom bioinformatics pipelines integrating AI/ML for complex biological datasets. Stay ahead of emerging trends in genomics, AI/ML in biology, and computational technologies. Collaborate in curriculum development, research partnerships, and publication efforts. Eligibility & Qualifications (Strict Criteria): Ph D (preferred) in Computational Biology, Genomics, AI/ML in Life Sciences, or a closely related field. Exceptional postdocs may be considered. Master’s degree holders will be considered only if they have extensive hands-on experience in both AI/ML and NGS data analysis. Candidates with only a general Biotechnology or Bioinformatics background will NOT be considered unless they meet the following conditions: Proven hands-on AI/ML expertise (model building, deep learning, machine learning for biological datasets). Strong experience in NGS workflows (RNA-Seq, DNA-Seq, metagenomics) and multi-omics data integration. Proficiency in Python, R, Bio Python, Bioconductor, and bioinformatics/omics tools. Experience with cloud-based or HPC computational platforms (AWS, GCP, etc.) preferred. Strong mentoring and communication skills. Note: This role requires practical, demonstrable AI/ML + NGS skills. Theoretical knowledge without applied expertise will not be considered. Why Join Us? Lead high-impact research while training the next generation of Bio-IT innovators. Be a Principal Investigator in both academic and industry projects. Collaborate on cutting-edge CRO research for global clients. Access opportunities for research publications and conference presentations.
This advertiser has chosen not to accept applicants from your region.
5
Academic Specialist – AI ML Computational Biology & NGS Data Analysis
Bengaluru, Karnataka
BioTecNika
Posted 1 day ago
Job Viewed
Job Description
Role Overview:
We are seeking PhD-level AI, ML, and NGS experts with strong academic and practical experience in computational biology and advanced biological data analysis.
This dual role involves:
Training & Mentoring Students in AI/ML applications in biology, genomics, NGS data analysis, and multi-omics integration.
Leading Research as a Principal Investigator (PI) for student-driven and institute-led projects.
Contributing to CRO Projects , delivering client-ready, high-impact solutions.
Key Responsibilities:
Develop and deliver hands-on, advanced training modules in AI, ML, computational biology , and NGS data analysis.
Supervise and mentor students through multi-omics research projects , ensuring high academic and industry standards.
Drive CRO research deliverables, ensuring accuracy, innovation, and timely completion.
Create custom bioinformatics pipelines integrating AI/ML for complex biological datasets.
Stay ahead of emerging trends in genomics , AI/ML in biology, and computational technologies.
Collaborate in curriculum development, research partnerships, and publication efforts.
Eligibility & Qualifications (Strict Criteria):
PhD (preferred) in Computational Biology, Genomics, AI/ML in Life Sciences , or a closely related field. Exceptional postdocs may be considered.
Master’s degree holders will be considered only if they have extensive hands-on experience in both AI/ML and NGS data analysis.
Candidates with only a general Biotechnology or Bioinformatics background will NOT be considered unless they meet the following conditions:
Proven hands-on AI/ML expertise (model building, deep learning, machine learning for biological datasets).
Strong experience in NGS workflows (RNA-Seq, DNA-Seq, metagenomics) and multi-omics data integration.
Proficiency in Python, R, BioPython, Bioconductor, and bioinformatics/omics tools.
Experience with cloud-based or HPC computational platforms (AWS, GCP, etc.) preferred.
Strong mentoring and communication skills.
Note: This role requires practical, demonstrable AI/ML + NGS skills. Theoretical knowledge without applied expertise will not be considered.
Why Join Us?
Lead high-impact research while training the next generation of Bio-IT innovators.
Be a Principal Investigator in both academic and industry projects.
Collaborate on cutting-edge CRO research for global clients.
Access opportunities for research publications and conference presentations.
We are seeking PhD-level AI, ML, and NGS experts with strong academic and practical experience in computational biology and advanced biological data analysis.
This dual role involves:
Training & Mentoring Students in AI/ML applications in biology, genomics, NGS data analysis, and multi-omics integration.
Leading Research as a Principal Investigator (PI) for student-driven and institute-led projects.
Contributing to CRO Projects , delivering client-ready, high-impact solutions.
Key Responsibilities:
Develop and deliver hands-on, advanced training modules in AI, ML, computational biology , and NGS data analysis.
Supervise and mentor students through multi-omics research projects , ensuring high academic and industry standards.
Drive CRO research deliverables, ensuring accuracy, innovation, and timely completion.
Create custom bioinformatics pipelines integrating AI/ML for complex biological datasets.
Stay ahead of emerging trends in genomics , AI/ML in biology, and computational technologies.
Collaborate in curriculum development, research partnerships, and publication efforts.
Eligibility & Qualifications (Strict Criteria):
PhD (preferred) in Computational Biology, Genomics, AI/ML in Life Sciences , or a closely related field. Exceptional postdocs may be considered.
Master’s degree holders will be considered only if they have extensive hands-on experience in both AI/ML and NGS data analysis.
Candidates with only a general Biotechnology or Bioinformatics background will NOT be considered unless they meet the following conditions:
Proven hands-on AI/ML expertise (model building, deep learning, machine learning for biological datasets).
Strong experience in NGS workflows (RNA-Seq, DNA-Seq, metagenomics) and multi-omics data integration.
Proficiency in Python, R, BioPython, Bioconductor, and bioinformatics/omics tools.
Experience with cloud-based or HPC computational platforms (AWS, GCP, etc.) preferred.
Strong mentoring and communication skills.
Note: This role requires practical, demonstrable AI/ML + NGS skills. Theoretical knowledge without applied expertise will not be considered.
Why Join Us?
Lead high-impact research while training the next generation of Bio-IT innovators.
Be a Principal Investigator in both academic and industry projects.
Collaborate on cutting-edge CRO research for global clients.
Access opportunities for research publications and conference presentations.
This advertiser has chosen not to accept applicants from your region.
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6
Academic Specialist – AI ML Computational Biology & NGS Data Analysis
Bengaluru, Karnataka
BioTecNika
Posted today
Job Viewed
Job Description
Role Overview:
- We are seeking PhD-level AI, ML, and NGS experts with strong academic and practical experience in computational biology and advanced biological data analysis.
This dual role involves:
- Training & Mentoring Students in AI/ML applications in biology, genomics, NGS data analysis, and multi-omics integration.
- Leading Research as a Principal Investigator (PI) for student-driven and institute-led projects.
- Contributing to CRO Projects , delivering client-ready, high-impact solutions.
Key Responsibilities:
- Develop and deliver hands-on, advanced training modules in AI, ML, computational biology , and NGS data analysis.
- Supervise and mentor students through multi-omics research projects , ensuring high academic and industry standards.
- Drive CRO research deliverables, ensuring accuracy, innovation, and timely completion.
- Create custom bioinformatics pipelines integrating AI/ML for complex biological datasets.
- Stay ahead of emerging trends in genomics , AI/ML in biology, and computational technologies.
- Collaborate in curriculum development, research partnerships, and publication efforts.
Eligibility & Qualifications (Strict Criteria):
- PhD (preferred) in Computational Biology, Genomics, AI/ML in Life Sciences , or a closely related field. Exceptional postdocs may be considered.
- Master’s degree holders will be considered only if they have extensive hands-on experience in both AI/ML and NGS data analysis.
- Candidates with only a general Biotechnology or Bioinformatics background will NOT be considered unless they meet the following conditions:
- Proven hands-on AI/ML expertise (model building, deep learning, machine learning for biological datasets).
- Strong experience in NGS workflows (RNA-Seq, DNA-Seq, metagenomics) and multi-omics data integration.
- Proficiency in Python, R, BioPython, Bioconductor, and bioinformatics/omics tools.
- Experience with cloud-based or HPC computational platforms (AWS, GCP, etc.) preferred.
- Strong mentoring and communication skills.
Note: This role requires practical, demonstrable AI/ML + NGS skills. Theoretical knowledge without applied expertise will not be considered.
Why Join Us?
- Lead high-impact research while training the next generation of Bio-IT innovators.
- Be a Principal Investigator in both academic and industry projects.
- Collaborate on cutting-edge CRO research for global clients.
- Access opportunities for research publications and conference presentations.
This advertiser has chosen not to accept applicants from your region.
7
Academic Specialist – AI ML Computational Biology & NGS Data Analysis
Bangalore, Karnataka
BioTecNika
Posted 7 days ago
Job Viewed
Job Description
Role Overview:
- We are seeking PhD-level AI, ML, and NGS experts with strong academic and practical experience in computational biology and advanced biological data analysis.
This dual role involves:
- Training & Mentoring Students in AI/ML applications in biology, genomics, NGS data analysis, and multi-omics integration.
- Leading Research as a Principal Investigator (PI) for student-driven and institute-led projects.
- Contributing to CRO Projects , delivering client-ready, high-impact solutions.
Key Responsibilities:
- Develop and deliver hands-on, advanced training modules in AI, ML, computational biology , and NGS data analysis.
- Supervise and mentor students through multi-omics research projects , ensuring high academic and industry standards.
- Drive CRO research deliverables, ensuring accuracy, innovation, and timely completion.
- Create custom bioinformatics pipelines integrating AI/ML for complex biological datasets.
- Stay ahead of emerging trends in genomics , AI/ML in biology, and computational technologies.
- Collaborate in curriculum development, research partnerships, and publication efforts.
Eligibility & Qualifications (Strict Criteria):
- PhD (preferred) in Computational Biology, Genomics, AI/ML in Life Sciences , or a closely related field. Exceptional postdocs may be considered.
- Master’s degree holders will be considered only if they have extensive hands-on experience in both AI/ML and NGS data analysis.
- Candidates with only a general Biotechnology or Bioinformatics background will NOT be considered unless they meet the following conditions:
- Proven hands-on AI/ML expertise (model building, deep learning, machine learning for biological datasets).
- Strong experience in NGS workflows (RNA-Seq, DNA-Seq, metagenomics) and multi-omics data integration.
- Proficiency in Python, R, BioPython, Bioconductor, and bioinformatics/omics tools.
- Experience with cloud-based or HPC computational platforms (AWS, GCP, etc.) preferred.
- Strong mentoring and communication skills.
Note: This role requires practical, demonstrable AI/ML + NGS skills. Theoretical knowledge without applied expertise will not be considered.
Why Join Us?
- Lead high-impact research while training the next generation of Bio-IT innovators.
- Be a Principal Investigator in both academic and industry projects.
- Collaborate on cutting-edge CRO research for global clients.
- Access opportunities for research publications and conference presentations.
This advertiser has chosen not to accept applicants from your region.
8
Scientist (Computational Chemistry / Structural Biology & Biomolecular Modeling)
Hyderabad, Andhra Pradesh
Aganitha AI
Posted today
Job Viewed
Job Description
**Join us and contribute to the discovery of medicines that will impact lives!**:
**Hyderabad, India | Hybrid | Full-Time**:
**About Aganitha**:
High-throughput experimentation, computational & data-driven modeling, and the advent of the Open Science era are fundamentally transforming research, discovery, and development across diverse industries. Aganitha is at the forefront of co-innovation with global clients, shaping next-generation R&D (aganitha.ai). While our primary client base has been in global Biopharma, we are actively expanding our collaborations into consumer brands and, in the near future, the materials design industry.
You will collaborate closely with research leaders at our client organizations, identifying their needs and designing innovative solutions. Working with our internal technical and scientific teams, you will drive solutions from concept to launch and growth. You may also interact with external vendors to coordinate experimental validation of the _in silico_ solutions developed at Aganitha.
**Key Responsibilities**:
- 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.
**Qualifications**:
- PhD in Computational Chemistry, Cheminformatics, Structural Biology, Biochemistry, Biophysics, or a closely related field, coupled with a genuine passion for continuous learning.
- Strong interest in computational and data-driven methods with a clear understanding of how _in silico_ approaches can significantly accelerate drug discovery and development processes.
- Must possess a keen understanding of the interface of computer technology, high-throughput sciences, and chemistry/biology.
- Demonstrated experience with computational tools and techniques commonly used in structural biology and biomolecular modeling (e.g., protein-ligand docking, protein-protein interaction studies, homology modeling).
- Prior experience in the Biopharma industry is a plus.
**Desired Technical Skills/Expertise**:
- Hands-on experience with molecular dynamics software packages (e.g., GROMACS, NAMD, AMBER, CHARMM,OpenMM, etc.).
- Familiarity with quantum chemistry software (e.g., PySCF, ORCA, NWChem, Quantum Espresso, etc.).
- Proficiency in at least one scripting/programming language, preferably Python, for data analysis, automation, and workflow development.
- Understanding of biomolecular docking and virtual screening methodologies.
- Exposure to data visualization tools for scientific data.
**Added Advantages**:
- Expertise in computer programming (e.g., Python, C++, Fortran), including developing robust and reproducible code.
- Exposure to High-Performance Computing (HPC) environments, cloud computing platforms, and parallel computing techniques.
- Experience with database management in a scientific context.
**Soft Skills**:
- Excellent verbal and written communication skills are essential, with the ability to clearly articulate complex scientific and computational concepts to both technical and non-technical audiences.
- A proactive and collaborative attitude to work effectively within cross-functional teams, fostering an environment of shared learning and problem-solving.
- Strong problem-solving mindset, capable of independently identifying issues and proposing effective solutions.
- Proven interest and aptitude to break down large, complex problem statements into manageable and actionable work packets.
- Comfortable working effectively in a fast-paced, rapidly changing research and development environment.
**Hyderabad, India | Hybrid | Full-Time**:
**About Aganitha**:
High-throughput experimentation, computational & data-driven modeling, and the advent of the Open Science era are fundamentally transforming research, discovery, and development across diverse industries. Aganitha is at the forefront of co-innovation with global clients, shaping next-generation R&D (aganitha.ai). While our primary client base has been in global Biopharma, we are actively expanding our collaborations into consumer brands and, in the near future, the materials design industry.
You will collaborate closely with research leaders at our client organizations, identifying their needs and designing innovative solutions. Working with our internal technical and scientific teams, you will drive solutions from concept to launch and growth. You may also interact with external vendors to coordinate experimental validation of the _in silico_ solutions developed at Aganitha.
**Key Responsibilities**:
- 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.
**Qualifications**:
- PhD in Computational Chemistry, Cheminformatics, Structural Biology, Biochemistry, Biophysics, or a closely related field, coupled with a genuine passion for continuous learning.
- Strong interest in computational and data-driven methods with a clear understanding of how _in silico_ approaches can significantly accelerate drug discovery and development processes.
- Must possess a keen understanding of the interface of computer technology, high-throughput sciences, and chemistry/biology.
- Demonstrated experience with computational tools and techniques commonly used in structural biology and biomolecular modeling (e.g., protein-ligand docking, protein-protein interaction studies, homology modeling).
- Prior experience in the Biopharma industry is a plus.
**Desired Technical Skills/Expertise**:
- Hands-on experience with molecular dynamics software packages (e.g., GROMACS, NAMD, AMBER, CHARMM,OpenMM, etc.).
- Familiarity with quantum chemistry software (e.g., PySCF, ORCA, NWChem, Quantum Espresso, etc.).
- Proficiency in at least one scripting/programming language, preferably Python, for data analysis, automation, and workflow development.
- Understanding of biomolecular docking and virtual screening methodologies.
- Exposure to data visualization tools for scientific data.
**Added Advantages**:
- Expertise in computer programming (e.g., Python, C++, Fortran), including developing robust and reproducible code.
- Exposure to High-Performance Computing (HPC) environments, cloud computing platforms, and parallel computing techniques.
- Experience with database management in a scientific context.
**Soft Skills**:
- Excellent verbal and written communication skills are essential, with the ability to clearly articulate complex scientific and computational concepts to both technical and non-technical audiences.
- A proactive and collaborative attitude to work effectively within cross-functional teams, fostering an environment of shared learning and problem-solving.
- Strong problem-solving mindset, capable of independently identifying issues and proposing effective solutions.
- Proven interest and aptitude to break down large, complex problem statements into manageable and actionable work packets.
- Comfortable working effectively in a fast-paced, rapidly changing research and development environment.
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