PI Industries PhD Chemistry Research Scientist Recruitment
PI Industries PhD Chemistry Research Scientist Recruitment. PI Industries PhD Chemistry chemistry candidates are invited for job opening 2021 for the post of Research Scientist. Interested and eligible candidates may apply online. Check out all the details on Rasayanika.
Business Division: Cre Agro
Department: PMS
Location: Udaipur
Job Title– Research Scientist – Molecular Modelling and Computational Chemistry
Reporting to (Title) – Group Leader – RITSC
Level – E3 – E4
Position Purpose
This position will work closely with synthetic chemists, biologists, formulation specialists and other team members with the aim to identify and optimize new lead structures. The role will be of an individual contributor reporting to GL- Research IT & Scientific Computing and supporting Team Leader – Modelling and Scientific Computation in application of wide variety of ligand-based and structure-based computational approaches
Strategic Responsibilities
- Active support of the philosophy, values and strategy of PI Industries Ltd.
- Drive Innovation by gaining advanced theoretical and practical knowledge in Scientific
- Computing and Modelling relative to agro industry.
- Support the Team Leader and Group Leader in fulfilling requirements from business (reflected in research targets) and discovery activities (chemistry, biology)
- Identifying proprietary research results and taking appropriate measures to maximize the value of CreAgro
- Maintain close contacts with international and industry research bodies, institutes engaged in providing relevant services and academia
- Act as a committed ambassador of PI brand
- Remain at the cutting edge of knowledge required for data management and assessment through constant updating of personal knowledge and skill-sets using the online and print literature, attending national and international conferences on scientific computation and modelling
Operational Responsibilities
- Work closely with chemists, biologists, KM, formulation team with an aim to identify and optimize new lead structures and provide more insights to existing projects.
- Play essential role in data analysis, design focused compound collection and suggested synthesis prioritization by applying wide variety of ligand based and structure based computational approaches.
- Contribute to the design process for discovery, lead exploration and optimization by state-of-the-art methods and technologies, e.g. by modelling and designing of molecules with potential biological activity.
- Take responsibility for compilation, correlation, aggregation, annotation, extraction, transformation and interpretation of relevant data, coming from biology, chemistry, analytics or predevelopment and development.
- Contribute to budget planning and controlling of MSC related cost, e.g. with focus on software and hardware, licenses, and investments.
- Comply with all the safety requirements of the role.
- Present the work effectively to project team and higher management.
- Should have a good understanding of biochemical assays, invivo biology and toxicology
Financial Responsibilities
People Responsibilities
- Business relationship to HOFs and GLs of Chemistry, Biology, PMS as well as with the KM employees
- Continuously improve processes to ensure quality and efficiency
- Ensure that the MSC team acquires and maintains a high level of knowledge and skills in relevant areas of data management, modelling, QSAR and respective IT tools in particular through continuous development, education and training
Education Qualification
- PhD in chemistry/physics from a reputed University / Institute with excellent academic credentials
- Post-doctoral research experience in a reputed University is preferred
Work Experience
- 2 – 5 years research experience of from international companies and/or high ranking academic institutes in handling scientific data in order to support, improve and direct design in the area of discovery, exploration and optimization in life sciences
- High quality research publications and/or patents appreciated
- Experience as member of project teams in the area of data management and data evaluation
- Industry to be Hired from
- Agro/Pharma /Chemical Industries
Functional Competencies
- Excellent knowledge of Modeling and Simulation concepts
- Knowledge of IT tools, modelling, QSAR, etc
- Data Evaluation, Assessment & Analysis
- Basic economic understanding (PI business case, cost structure, etc.)
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