Sign In
 [New User? Sign Up]
Mobile Version

Postdoctoral Fellow, Computational Biomedicine

Pfizer


Location:
Cambridge, MA
Date:
09/19/2017
2017-09-192017-10-18
Job Code:
1053597
Pfizer
Apply on the Company Site
  •  
  • Save Ad
  • Email Friend
  • Print
  • Research Salary

Job Details

Job Title Postdoctoral Fellow, Computational Biomedicine

JobID 1053597

Location: Cambridge, MA

Description A career at Pfizer offers opportunity, ownership and impact.



All over the world, Pfizer colleagues work together to positively impact health for everyone, everywhere. Our colleagues have the opportunity to grow and develop a career that offers both individual and company success; be part of an ownership culture that values diversity and where all colleagues are energized and engaged; and the ability to impact the health and lives of millions of people. Pfizer, a global leader in the biopharmaceutical industry, is continuously seeking top talent who are inspired by our purpose to innovate to bring therapies to patients that significantly improve their lives.



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.



Colleagues who are issued an Incident Final Warning (IFW) on or after January 1, 2016, are not eligible to post and compete for a position for a period of 12-months from the date an IFW is issued.



Ph.D. in Biomedical Engineering, Biomedical Informatics, Computer Science, Statistics, or other relevant quantitative field.



Required Skills:

• Ability to use and advance machine learning / deep learning methods



• Knowledge of relevant statistical methodologies



• Strong programming skills, including knowledge of version control (git)



• Ability to prototype analyses and algorithms in a high level language (R, python)



• Experience with UNIX/LINUX and high-performance computing (HPC) environments



• Ability to interact with RESTful APIs and SQL databases



Desired:

• Knowledge of biomedical data types - molecular or clinical health data.



Strong research skills, work ethic, and strong organizational skills. Demonstrated ability to work independently, but a willingness to collaborate in a highly inter-disciplinary environment. Candidate is expected to have a strong publication record in major machine learning conferences or journals.



PHYSICAL/MENTAL REQUIREMENTS

Primarily sitting at a desk and moving through offices.



NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS

Little travel load. No extraordinary requirements.



The Postdoctoral Fellow responsibilities will include:

• Evaluation and application of machine learning methods to identify biomarkers of disease and disease subtypes



• Construction of predictive models of disease for subtyping and/or progression to advance Precision Medicine sciences



• Deployment of deep learning models to other data domains, such as Genotype-to-Phenotype (G2P) resources, to help elucidate disease model underpinnings



• Advancement of a computational framework for integrating relevant analytical methods



• Publications in medical informatics or clinically oriented journals; presentations at relevant conferences



We seek a driven and motivated Postdoctoral Fellow to join the Computational Biomedicine group within Genome Sciences and Technologies (GST) unit of Pfizer's Worldwide R&;D (WRD) division in Cambridge, MA. The successful candidate will pursue research on applying deep learning and machine learning methodologies to Electronic Health Records (EHRs), and complementary Genotype-to-Phenotype (G2P) resources, to better understand profiles of disease progression and underlying disease pathobiology.



We are looking for an enthusiastic computational scientist with expertise in machine learning and data mining, who is eager to learn and apply these methods in the context of biomedical research. Research will involve techniques such as unsupervised learning, causal inference, deep learning, time-series modeling, and probabilistic inference to address questions related to disease progression, including understanding of disease onset, characteristics of disease stages, rate of progression, and progression trajectories.



This position offers an opportunity to execute cutting-edge computational research within one of the world's leading developers of human therapeutics, at the Pfizer Biomedical Institute based in the Cambridge Innovation Hub.



The Postdoctoral Fellow position will be appointed for an initial period of two years, with an option for two annual extensions, based on research needs and progress.A career at Pfizer offers opportunity, ownership and impact.



All over the world, Pfizer colleagues work together to positively impact health for everyone, everywhere. Our colleagues have the opportunity to grow and develop a career that offers both individual and company success; be part of an ownership culture that values diversity and where all colleagues are energized and engaged; and the ability to impact the health and lives of millions of people. Pfizer, a global leader in the bio-pharmaceutical industry, is continuously seeking top talent who are inspired by our purpose to innovate to bring therapies to patients that significantly improve their lives.



Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.


Apply on the Company Site
Powered By

Featured Jobs[ View All ]

Featured Employers [ View All ]