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Aganitha Cognitive Solutions

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4.1

based on 16 Reviews

2 Aganitha Cognitive Solutions Scientist Jobs

Scientist (Cheminformatics & Computational Chemistry)

aganitha cognitive solutions

4.1

based on 16 Reviews

1-3 years

Hyderabad / Secunderabad

1 vacancy

Scientist (Cheminformatics & Computational Chemistry)

Aganitha Cognitive Solutions

posted 1mon ago

Job Role Insights

Flexible timing

Key skills for the job

Cloud Computing Life Sciences Data Mining Open Source DFT Web Technologies

+ 1 more

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

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 novo
design, compound redesign or optimization, molecular dynamics simulation, Markov State Models, free energy perturbation, QSAR, DMPK models

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 novo
design, 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 Scientist at Aganitha Cognitive Solutions are saying

4.5

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 reviews