Job Description:
This position will be responsible for the development and application of data analysis and mining approaches to inform target, compound, species and biomarker identification and aid in the understanding of nonclinical and clinical safety signals. The successful candidate will be responsible for performing integrative analyses relating molecular entities and in vitro/in vivo/clinical biological activities in a computational and quantitative way to deliver testable hypotheses in high quality presentations/publications. The ideal candidate will have experience with database development and management, RNAseq data analysis, and statistical/machine learning techniques. The successful candidate will have strong interpersonal and communication skills required for productive collaborations across DSRD, Partner Lines and Research Units. Role 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: Eligible for Relocation Package Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.[Click Here to Access the Original Job Post]
This position will be responsible for the development and application of data analysis and mining approaches to inform target, compound, species and biomarker identification and aid in the understanding of nonclinical and clinical safety signals. The successful candidate will be responsible for performing integrative analyses relating molecular entities and in vitro/in vivo/clinical biological activities in a computational and quantitative way to deliver testable hypotheses in high quality presentations/publications. The ideal candidate will have experience with database development and management, RNAseq data analysis, and statistical/machine learning techniques. The successful candidate will have strong interpersonal and communication skills required for productive collaborations across DSRD, Partner Lines and Research Units. Role Responsibilities:
- Develop database infrastructure and analysis pipelines for efficient integration and analysis of mixed data types (e.g., chemical and biological descriptors, in vitro and in vivo endpoints, internal and external data sources)
- Perform computational analyses and deliver testable hypotheses/insights from complex multi-dimensional data to inform target/compound selection, biomarker identification and aid in the understanding of nonclinical and clinical safety signals
- Identify and validate innovative approaches to improve the quality and efficiency of hypothesis generation from experimental data
- Maintain current awareness of emerging approaches and methods in computational biology and provide ad hoc support to DSRD colleagues and project teams
- Management and analysis of RNAseq experimental data
- Analysis of in vitro screening results and design of follow-up experiments
- Generation of computational models for compound safety
- Mining and curation of compound, SAR, nonclinical and clinical in vivo databases
- Participation in global modeling consortia
- Effectively and efficiently collaborates with data analysis and computational colleagues in DSRD and WRD.
- Represents DSRD on relevant teams, providing scientific guidance of projects.
- Master’s with highly relevant experience (5+ years) and/or PhD or equivalent in Bioinformatics/Computational Biology, Computer Science, Mathematics, Statistics, Chemistry, Biology or related disciplines, with relevant experience applying computational approaches to solve biological problems, ideally in a pharmaceutical, biotechnology or comparable setting.
- In depth knowledge of relevant public and proprietary databases, methods and tools.
- Excellent verbal and written communication skills, along with an ability to effectively interface with biologists and toxicologists to communicate/discuss results, ideas and follow-up experiments
- Experience in Bioinformatics, Computational Biology, Machine Learning, Statistics, Database Management and Administration
- Fluency in one of more programming languages (particular emphasis on R and SQL)
- Specific experience performing RNAseq data analysis
- Experience in delivering insights/hypotheses from complex multi-dimensional biologic data in a biomedical context.
- Experience and expertise in the analysis and visualization of high dimensional data.
- Experience applying computational approaches to deliver insights/hypotheses from chemical structures, in vitro data and nonclinical/clinical in vivo endpoints
- Experience in sound experimental design for in silico experimentation and workflow.
- Sitting, standing, walking, bending
- Ability to perform complex mathematical calculations
- Ability to perform complex data analysis
Requeriments :
- M.Sc. or higher Degree in Bioinformatics
- M.Sc. or higher Degree in computational biology
- M.Sc. or higher Degree in Computer Science
Skills :
- Bioinformatics
- Computational Biology
- Data Mining
- Database design
- Machine Learning
- Programing Skills
- Programming in R
- RNA-seq
- SQL
- Statistics
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: Eligible for Relocation Package Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.[Click Here to Access the Original Job Post]