Job Description:
As a member of the Computational Sciences group this compuational biology expert will develop computational algorithms and statistical models to address a range of drug discovery challenges, particularly in the areas of phenotypic screening, mechanism of action elucidation, disease models and pharmacological response characterization, drug repurposing, and discovery of novel targeting mechanisms. (S)he will partner in the design of experiments for small molecule and functional genomic library screening and the analysis of subsequent data, the generation of machine learning models and the design of follow-up screening experiments. Work will include the development of methods to analyze multi-parametric assay results and the integration and interpretation of complex data sets, for example from high content screening, literature and pathway mining to elucidate mechanism of action and for hypothesis generation. The role will provide scientific domain knowledge in bioinformatics, computational biology and data science. The ability to develop, evaluate and implement new techniques will be critical. The successful candidate will have strong interpersonal and communication skills required to build networks and partnership with Research Unit and Partner Line teams. Responsibilities:
Additional Info:
EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. Other Job Details:
As a member of the Computational Sciences group this compuational biology expert will develop computational algorithms and statistical models to address a range of drug discovery challenges, particularly in the areas of phenotypic screening, mechanism of action elucidation, disease models and pharmacological response characterization, drug repurposing, and discovery of novel targeting mechanisms. (S)he will partner in the design of experiments for small molecule and functional genomic library screening and the analysis of subsequent data, the generation of machine learning models and the design of follow-up screening experiments. Work will include the development of methods to analyze multi-parametric assay results and the integration and interpretation of complex data sets, for example from high content screening, literature and pathway mining to elucidate mechanism of action and for hypothesis generation. The role will provide scientific domain knowledge in bioinformatics, computational biology and data science. The ability to develop, evaluate and implement new techniques will be critical. The successful candidate will have strong interpersonal and communication skills required to build networks and partnership with Research Unit and Partner Line teams. Responsibilities:
- Partnership to deliver the Primary Pharmacology Group portfolio including projects supporting Cardiovascular & Metabolic disease, Inflammation and Immunology, Rare Diseases and Oncology
- Design of chemical and genomic libraries for screening campaigns
- Analysis of chemogenomic and directed library screening results, mining of compound annotations and design of follow-up experiments
- Perform computational analysis of high-dimensional multi-omics datasets (proteomics, genomics, pathways) and derive testable hypothesis to assist phenotypic deconvolution, mechanism of action elucidation, lead compound selection and characterization
- Work closely with primary pharmacology, hit discovery, and chemical biology groups to develop and validate proteomics applications
- Develop custom computational analysis methods as needed and provide ad-hoc support to cross-disciplinary project teams.
- Deliver testable hypotheses/insights from complex multidimensional data to inform mechanism of action determination in high quality presentations & publications
- Analysis and visualization of high-dimensional data sets
- Delivery of subject matter expertise for cross-functional teams within Pfizer WRD
- Ph.D. in bioinformatics, biostatistics, computer science or a related discipline
- Significant experience developing and applying Machine Learning and Statistical Models
- Experience in computational analysis and biological interpretation of mass spectrometry data
- Experience with chemical biology applications using quantitative mass spectrometry
- Experience with NGS, transcriptomics data
- Image based analysis and feature extraction
- Excellent track record of external publications and professional service
- 4-5 years of experience in the biopharmaceutical industry
- Outstanding teamwork and communication abilities
- Experience with complicated data types (proteomics, genomics, metabolomics, imaging, etc.)
- Fluency in one or more programming languages in the Unix environment, SQL and R
Requeriments :
Skills :
- genomic
- Lunix/Unix
- Machine Learning
- Next Generation Sequencing
- Programing Skills
- Programming in R
- SQL
- Statistics
- Transcriptomics
Areas :
Additional Info:
EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. Other Job Details:
- Last Date to Apply for Job: May 31, 2018
- Eligible for Relocation Package: yes
- Eligible for Employee Referral Bonus: yes