Chem informatics Job available at Pfizer Interested candidate can apply for this position

Organisation Pfizer
Organization Type Pharma
Job Type Scientist
Position Type Full Time
LocationGermany – Remote
SalaryCompetative
Last Date26 November 2022
Job Description
At Pfizer, the Medicine Design department focuses on small molecule drug discovery efforts in multiple disease areas. We are striving to apply cutting-edge computational methods on comprehensive datasets to elucidate the molecular mechanisms of disease and drive the development of novel therapeutics. Our location in Cambridge MA is at the center of biomedical innovation, facilitating collaborations with local universities and biotech companies.

The cheminformatics-focused Computational Pharmacology Group within Medicine Design is seeking an experienced and self-driven individual to design and implement cheminformatics techniques and workflows to help accelerate our drug discovery process. The successful candidate will play a key role in unlocking the underlying value of Pfizer’s wealth of proprietary pharmacology and related research data. The ideal candidate will design, deploy and automate data workflows to mine, organize and integrate data from a variety of internal and external database sources. The candidate will also develop cheminformatics analytics methods and tools that support the decision-making process of drug designers on projects across all of Pfizer’s therapeutic areas. The scientist will have opportunities to make impact directly on drug discovery projects through clear communication of actionable insights with data-driven analyses. With strong communication skills and adept at building productive partnerships, the successful candidate will thrive working in cross-functional teams with talented scientists across different disciplines. The ability to think innovatively, manage complex technical challenges, strong attention to detail, and a drive to problem solving will make this role a success.¬†
Educational Qualification
 PhD/MS in cheminformatics, computational chemistry, chemistry, or equivalent
2+ years (MS: 5+ years) of relevant research experience, preferably in the pharmaceutical/biotech industry
Proficient in programming (Python, R) and database mining (SQL)
Experience with modern data modeling and mining Python/R libraries and toolkits (OEChem, RDKit)
Experience with data analytics and workflow platforms (Pipeline Pilot, Knime)
Demonstrated ability to organize, analyze, and derive insights from pharmacology and related data
Outstanding teamwork and communication skills
Ability to work well in multidisciplinary teams in a matrixed drug discovery environment
Preferred Qualifications
 Experience with database design and processing (SQL/NoSQL, RestAPI, XML, json)
Experience in large-scale data handling and developing data pipelines
Expertise in generating data analytics and visualizations (Spotfire)
Experience in developing code in a collaborative manner (Code review, Design discussions)
Experience with CI/CD and test-driven development (GitHub, Bitbucket, GitLab)
Duties
Mine pharmacology and other related data from internal and external databases
Organize data into integrated database to enable efficient cheminformatics-based methods development
Design, develop and deploy reproducible computational data workflows and data analytics tools
Collaborate with design chemists and screening experts to impact hit identification efforts
Analyze large-scale and complex data sets for actionable insights to enable project teams with decision making
Generate predictive (statistical, AI/ML) models to support drug design
Establish scientific and technical expertise through familiarity with scientific literature and attending conferences 
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