Job Description:
We are searching for a highly collaborative individual to join a team of scientists focused on testing and translating human genetic discoveries into testable therapeutic hypotheses. We seek a human geneticist, biostatistician or genetic epidemiologist who is well-versed in analyzing human genetic data (DNA) of complex phenotypes. The successful candidate will participate on the statistical design and analysis of human genetic studies with an emphasis on next generation sequencing and genome-wide association studies. The candidate should have a solid foundation in statistics and genetics, a strong work ethic, the ability to work independently and an openness to work on highly collaborative teams. Using clinical and genetic data from academic collaborations, public-private partnerships and clinical trials, this individual will work with interdisciplinary teams to design and analyze genetic association studies as well as genotype-driven phenotyping experiments. This individual will also collaborate with functional genomics scientists and neuroscientists to design laboratory experiments to determine the molecular and cellular-level function of disease-associated genetic variants. This is an exciting opportunity for a motivated scientist who wishes to apply the results of genetics and genomics investigation to support the discovery of novel medicines. Qualifications: •Experience using large-scale phenotype and genetic data from academic collaborations, public-private partnerships and/or clinical trials. • Experience using clinical data, electronic medical records, and laboratory data for analysis of complex phenotypes is desired. • Knowledge of experimental design principles. • Management of large genetic studies (n>10,000). • Statistical software (R/MATLAB/SAS). • Programming/Scripting skills (Perl/Python/Shell/Java). • Knowledge of statistical genetics software. (PLINK/MaCH/IMPUTE2/HLA*IMP/METAL/GWAMA/etc.) • Knowledge of next generation sequencing statistical analysis (QC metrics, analysis of rare variation) • Outstanding communication and teamwork skills. Education: Ph.D. or M.D. Ph.D. in Bioinformatics, human genetics, epidemiology or biostatistics. 2-5 years’ post-degree experience in an academic or industrial setting preferred, but candidates at all levels will be considered.
Additional Info:
About Biogen Biogen (NASDAQ: BIIB) is a biotechnology leader that discovers, develops and delivers innovative therapies for the treatment of neurodegenerative and rare diseases. Patients worldwide benefit every day from our medicines for multiple sclerosis (MS) and hemophilia. Founded in 1978, Biogen is one of the world’s oldest independent biotechnology companies. Our development pipeline is focused on areas of high unmet medical need, as we pursue new therapies for patients suffering from diseases with few or no treatment options. These include programs for Alzheimer’s Disease, amyotrophic lateral sclerosis (ALS), Parkinson’s disease, spinal muscular atrophy and neuropathic pain amongst others. With more than 7,000 people worldwide, Biogen is truly a global organization. We are headquartered in Cambridge, Massachusetts, which is home to our research operations. Our international operations are based in Zug, Switzerland and we have world-class manufacturing facilities in North Carolina and Denmark. We offer therapies globally through direct affiliate presence in 30 countries and a network of distribution partners in over 50 additional countries. All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, marital status, race, color, national origin, ancestry, ethnicity, religion, age, veteran status, disability, genetic information or any other basis protected by federal, state or local law. Biogen is an E-Verify Employer in the United States. Please be advised that all legitimate correspondence from a Biogen employee will come from "@biogen.com" email accounts. [Click Here to Access the Original Job Post]
We are searching for a highly collaborative individual to join a team of scientists focused on testing and translating human genetic discoveries into testable therapeutic hypotheses. We seek a human geneticist, biostatistician or genetic epidemiologist who is well-versed in analyzing human genetic data (DNA) of complex phenotypes. The successful candidate will participate on the statistical design and analysis of human genetic studies with an emphasis on next generation sequencing and genome-wide association studies. The candidate should have a solid foundation in statistics and genetics, a strong work ethic, the ability to work independently and an openness to work on highly collaborative teams. Using clinical and genetic data from academic collaborations, public-private partnerships and clinical trials, this individual will work with interdisciplinary teams to design and analyze genetic association studies as well as genotype-driven phenotyping experiments. This individual will also collaborate with functional genomics scientists and neuroscientists to design laboratory experiments to determine the molecular and cellular-level function of disease-associated genetic variants. This is an exciting opportunity for a motivated scientist who wishes to apply the results of genetics and genomics investigation to support the discovery of novel medicines. Qualifications: •Experience using large-scale phenotype and genetic data from academic collaborations, public-private partnerships and/or clinical trials. • Experience using clinical data, electronic medical records, and laboratory data for analysis of complex phenotypes is desired. • Knowledge of experimental design principles. • Management of large genetic studies (n>10,000). • Statistical software (R/MATLAB/SAS). • Programming/Scripting skills (Perl/Python/Shell/Java). • Knowledge of statistical genetics software. (PLINK/MaCH/IMPUTE2/HLA*IMP/METAL/GWAMA/etc.) • Knowledge of next generation sequencing statistical analysis (QC metrics, analysis of rare variation) • Outstanding communication and teamwork skills. Education: Ph.D. or M.D. Ph.D. in Bioinformatics, human genetics, epidemiology or biostatistics. 2-5 years’ post-degree experience in an academic or industrial setting preferred, but candidates at all levels will be considered.
Requeriments :
Skills :
- Genetics
- genomic
- Next Generation Sequencing
- Programing in Python
- Programing Skills
- Programming in Java
- Programming in Matlab
- Programming in PERL
- Programming in R
- Programming in SAS
- Shell scripting
- Statistics
Areas :
Additional Info:
About Biogen Biogen (NASDAQ: BIIB) is a biotechnology leader that discovers, develops and delivers innovative therapies for the treatment of neurodegenerative and rare diseases. Patients worldwide benefit every day from our medicines for multiple sclerosis (MS) and hemophilia. Founded in 1978, Biogen is one of the world’s oldest independent biotechnology companies. Our development pipeline is focused on areas of high unmet medical need, as we pursue new therapies for patients suffering from diseases with few or no treatment options. These include programs for Alzheimer’s Disease, amyotrophic lateral sclerosis (ALS), Parkinson’s disease, spinal muscular atrophy and neuropathic pain amongst others. With more than 7,000 people worldwide, Biogen is truly a global organization. We are headquartered in Cambridge, Massachusetts, which is home to our research operations. Our international operations are based in Zug, Switzerland and we have world-class manufacturing facilities in North Carolina and Denmark. We offer therapies globally through direct affiliate presence in 30 countries and a network of distribution partners in over 50 additional countries. All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, marital status, race, color, national origin, ancestry, ethnicity, religion, age, veteran status, disability, genetic information or any other basis protected by federal, state or local law. Biogen is an E-Verify Employer in the United States. Please be advised that all legitimate correspondence from a Biogen employee will come from "@biogen.com" email accounts. [Click Here to Access the Original Job Post]