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8 Aganitha Cognitive Solutions Jobs
Scientist (Cheminformatics & Computational Chemistry)
1-3 years
Hyderabad / Secunderabad
1 vacancy
Scientist (Cheminformatics & Computational Chemistry)
Aganitha Cognitive Solutions
posted 29d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Work with RD teams of our Biopharma clients, and collaborate with a team of Biologists, Medicinal Chemists, Computational Biologists, Data Scientists, Data Engineers, Web Developers, Cloud Engineers, and Solution Architects to create the next generation of innovative computational chemistry solutions for target discovery and validation.
- Identify areas of application for AI in Chemistry and related Lifesciences, and develop novel algorithms to drive data-driven drug discovery
- Drive lead discovery projects by proposing a testable hypothesis
- Apply the latest advances and develop methods for data mining and performing analysis of large datasets
- Investigate statistical approaches for analysis of High Throughput Screening (HTS) data
- Participate in collecting, quality control, normalization, modeling, and other such detailed analyses of specific HTS and/or omics data sets
- Development of processes and customizable workflows that can be adapted and applied across the portfolio
- Implement compound library design, QSAR, docking, virtual screening, molecular fragmentation, structure-based drug design, pharmacophore generation, and analysis, or multi-parameter optimization
- Leverage structure-based and ligand-based design techniques like protein modeling, virtual screening, QSAR, molecular dynamics simulations
Work with RD teams of our Biopharma clients, and collaborate with a team of Biologists, Medicinal Chemists, Computational Biologists, Data Scientists, Data Engineers, Web Developers, Cloud Engineers, and Solution Architects to create the next generation of innovative computational chemistry solutions for target discovery and validation.
- Identify areas of application for AI in Chemistry and related Lifesciences, and develop novel algorithms to drive data-driven drug discovery
- Drive lead discovery projects by proposing a testable hypothesis
- Apply the latest advances and develop methods for data mining and performing analysis of large datasets
- Investigate statistical approaches for analysis of High Throughput Screening (HTS) data
- Participate in collecting, quality control, normalization, modeling, and other such detailed analyses of specific HTS and/or omics data sets
- Development of processes and customizable workflows that can be adapted and applied across the portfolio
- Implement compound library design, QSAR, docking, virtual screening, molecular fragmentation, structure-based drug design, pharmacophore generation, and analysis, or multi-parameter optimization
- Leverage structure-based and ligand-based design techniques like protein modeling, virtual screening, QSAR, molecular dynamics simulations
Desired Skills / Expertise
- Expertise in DFT, QM/MM, and Cheminformatics
- Experience with computational chemistry software, such as protein structure viewers, ChemAxon toolkits, RDKit, and KNIME
- Experience in the use of open-source and proprietary databases, such as ChEMBL, PubChem, PDB, Uniprot, AlphaFoldDB, Dotmatics, LiveDesign, and OpenTargets
- Working knowledge of data mining platforms (Spotfire, R shiny, Stardrop, etc.)
- Excellent communication skills with a desire to work in multidisciplinary teams
- Demonstrated expertise in at least two areas from virtual screening/docking, de novodesign, compound redesign or optimization, molecular dynamics simulation, Markov State Models, free energy perturbation, QSAR, DMPK models
Work with RD teams of our Biopharma clients, and collaborate with a team of Biologists, Medicinal Chemists, Computational Biologists, Data Scientists, Data Engineers, Web Developers, Cloud Engineers, and Solution Architects to create the next generation of innovative computational chemistry solutions for target discovery and validation.
- Identify areas of application for AI in Chemistry and related Lifesciences, and develop novel algorithms to drive data-driven drug discovery
- Drive lead discovery projects by proposing a testable hypothesis
- Apply the latest advances and develop methods for data mining and performing analysis of large datasets
- Investigate statistical approaches for analysis of High Throughput Screening (HTS) data
- Participate in collecting, quality control, normalization, modeling, and other such detailed analyses of specific HTS and/or omics data sets
- Development of processes and customizable workflows that can be adapted and applied across the portfolio
- Implement compound library design, QSAR, docking, virtual screening, molecular fragmentation, structure-based drug design, pharmacophore generation, and analysis, or multi-parameter optimization
- Leverage structure-based and ligand-based design techniques like protein modeling, virtual screening, QSAR, molecular dynamics simulations
Desired Skills / Expertise
- Expertise in DFT, QM/MM, and Cheminformatics
- Experience with computational chemistry software, such as protein structure viewers, ChemAxon toolkits, RDKit, and KNIME
- Experience in the use of open-source and proprietary databases, such as ChEMBL, PubChem, PDB, Uniprot, AlphaFoldDB, Dotmatics, LiveDesign, and OpenTargets
- Working knowledge of data mining platforms (Spotfire, R shiny, Stardrop, etc.)
- Excellent communication skills with a desire to work in multidisciplinary teams
- Demonstrated expertise in at least two areas from virtual screening/docking, de novodesign, compound redesign or optimization, molecular dynamics simulation, Markov State Models, free energy perturbation, QSAR, DMPK models
Employment Type: Full Time, Permanent
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What people at Aganitha Cognitive Solutions are saying
Rating based on 2 Scientist
reviews
Anonymous · Pharmaceutical & Biotechnology
in Hyderabad / Secunderabad
Likes
Aganitha Cognitive Solutions contributes to drug discovery and development by offering in silico services to large, international biopharma and biotech companies. It boasts a broad domain expertise, including data science and engineering, AI/ML, DevOps and cloud, cheminformatics, bioinformatics, computational chemistry, computational..Read More
Dislikes
Cons: * Salaries on offer are below market standards, increases in responsibilities and pay are not proportionate * Zero additional benefits * Unusual and rigid policies that remain the same regardless of the feedback from employees * Tedious and demanding interview process that may not necessarily result in picking good candidates..Read More
Read 2 reviewsScientist salary at Aganitha Cognitive Solutions
reported by
4
employees
with 3-6
years exp.
₹10
L/yr - ₹23
L/yr
104%
more
than the average Scientist Salary in India
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What Aganitha Cognitive Solutions employees are saying about work life
based on 16 employees
Flexible timing
Monday to Friday
No travel
Aganitha Cognitive Solutions Benefits
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