Job Description:
The Cancer Epigenetics Discovery Performance Unit (DPU) within Oncology R&D is seeking a highly motivated computational biologist to join a multidisciplinary team working to discover and develop novel epigenetic medicines for the treatment of cancer. The successful candidate will be responsible for overseeing a group of computational biologists and support the DPU by integrating and mining genomic data, investigating pathways/networks to identify predictive and pharmacodynamic biomarkers, and understanding the cellular mechanism of lead molecules in both clinical and pre-clinical settings. This exceptionally talented individual will be adept at leading a small group, working with large genomic data sets, possess a broad knowledge of genetic and genomic technologies used in cancer research, and have an understanding of cancer biology. You will enjoy working in a dynamic, fast-paced environment, and be comfortable communicating complex bioinformatic approaches and analyses to a diverse group of scientists. Basic qualifications: • MSc or PhD in computational biology, bioinformatics, biology, or a related field. • 5+ years of experience in a bioinformatics-related position. • Experience managing the technical, scientific, and strategic work of other scientists. • Demonstrated ability to assemble novel data analysis pipelines with rigorous QC checkpoints. • Experience with many genomic data types including RNA-Seq, ChIP-Seq, and microarray-based gene expression and DNA methylation. • Strong ability to communicate analysis results in a clear and concise manner in both written and verbal form. • Work effectively within large multidisciplinary teams. • Adept at managing multiple priorities in an efficient and organized manner. • A publication record that demonstrates an ability to successfully utilize bioinformatic approaches to drive scientific discovery. Preferred qualifications: • A scientific background in cancer biology, cancer genetics, epigenetics, or chromatin. • Demonstrated ability to integrate multiple data types. • Direct knowledge of the drug discovery and/or development process. • Machine learning and scripting skills. • Training in statistical analyses.
Additional Info:
Position: Full-Time Regular Open date: 17-nov-2016 18:28 Functional area: Science and Technology Location: Collegeville, Pennsylvania Required degrees: MSc Experience required: 6 years Relocation: Not Indicated Contact information: You may apply for this position online by selecting the Apply now button. If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK HR Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US). GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting For the Record site.[Click Here to Access the Original Job Post]
The Cancer Epigenetics Discovery Performance Unit (DPU) within Oncology R&D is seeking a highly motivated computational biologist to join a multidisciplinary team working to discover and develop novel epigenetic medicines for the treatment of cancer. The successful candidate will be responsible for overseeing a group of computational biologists and support the DPU by integrating and mining genomic data, investigating pathways/networks to identify predictive and pharmacodynamic biomarkers, and understanding the cellular mechanism of lead molecules in both clinical and pre-clinical settings. This exceptionally talented individual will be adept at leading a small group, working with large genomic data sets, possess a broad knowledge of genetic and genomic technologies used in cancer research, and have an understanding of cancer biology. You will enjoy working in a dynamic, fast-paced environment, and be comfortable communicating complex bioinformatic approaches and analyses to a diverse group of scientists. Basic qualifications: • MSc or PhD in computational biology, bioinformatics, biology, or a related field. • 5+ years of experience in a bioinformatics-related position. • Experience managing the technical, scientific, and strategic work of other scientists. • Demonstrated ability to assemble novel data analysis pipelines with rigorous QC checkpoints. • Experience with many genomic data types including RNA-Seq, ChIP-Seq, and microarray-based gene expression and DNA methylation. • Strong ability to communicate analysis results in a clear and concise manner in both written and verbal form. • Work effectively within large multidisciplinary teams. • Adept at managing multiple priorities in an efficient and organized manner. • A publication record that demonstrates an ability to successfully utilize bioinformatic approaches to drive scientific discovery. Preferred qualifications: • A scientific background in cancer biology, cancer genetics, epigenetics, or chromatin. • Demonstrated ability to integrate multiple data types. • Direct knowledge of the drug discovery and/or development process. • Machine learning and scripting skills. • Training in statistical analyses.
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Additional Info:
Position: Full-Time Regular Open date: 17-nov-2016 18:28 Functional area: Science and Technology Location: Collegeville, Pennsylvania Required degrees: MSc Experience required: 6 years Relocation: Not Indicated Contact information: You may apply for this position online by selecting the Apply now button. If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK HR Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US). GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting For the Record site.[Click Here to Access the Original Job Post]