Procter & Gamble is the innovation leader in our industry. Virtually all the organic sales growth we’ve delivered in the past nine years has come from new brands and new or improved product innovation. We continually strengthen our innovation capability and pipeline by investing two times more, on average, than our major competitors.
P&G. We interact with more than five million consumers each year in nearly 60 countries around the world. We conduct over 15,000 research studies every year. We invest more than $350 million a year in consumer understanding. This results in insights that tell us where the innovation opportunities are and how to serve and communicate with consumers.
Post: Scientist - Beauty Technology Development {Job Code: RND00001870}
Job Description:
The successful candidate will have expertise in QSAR/QSPR/Statistical modeling and in the fields of Immunology and Biochemistry, with ideally experience in Pharmacology and/or Biophysics and/or other Computational Modeling disciplines (e.g. 3D Docking virtual screening). He/she will be familiar with various cell types and signal transduction pathways relevant to various skin and cell relevant processes and cascades.
They will work within a multidisciplinary team to primarily deliver QSAR/QSPR/Statistical models pertaining to multiple biological pathway endpoints and biomarkers that may influence any Health & Beauty category within P&G.
Candidate Profile:
We look for candidates who have a passion for winning and who have demonstrated excellence in their work and academic experience. We look for people with leadership skills who are effective in teams. We want employees with strong analytical skills and the ability to think of out-of-the box solutions to business problems. We want people who are able to handle multiple priorities, who have a bias for action and who are genuinely interested in personal development and the development of others. Finally, we want people who would respect and embody the Principles and Core Values that make P&G the organization it is.
Job Qualifications:
The successful candidate should have :
- Masters Degree in Biochemistry / Immunology / Pharmacology / Biotechnology/ Microbiology
- Ph.D. in QSAR/QSPR/Statistical modeling in the fields of Immunology and/or Biochemistry.
Additional Information:
Experience: 1-3 years
Location: Bangalore
Education: M.Pharm-Pharmacology or M.Sc[microbiology, biochemistry, Biotechnology, pharmacology]
Industry Type: Pharma/ Biotech/Clinical Research
Functional Area: R&D
Job Code: RND00001870
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