Job Description:
Your tasks and responsibilities: The primary responsibilities of this role, Scientist ll, are to: -Develop machine learning applications that run on our large data set to predict strains with pesticidal activity and to discover novel pesticidal gene classes. -Predict minimum gene sets that are required to recapitulate strain activity through heterologous expression and subsequent feeding assays. -Curate legacy bioassay data sets for use in machine learning applications; -Work in collaboration with biochemists to prioritize strains for activity guided fractionation based on genome sequences. -Interpret basic biochemistry literature relating to gene function. -Develop or implement text-mining applications to assist in prioritizing candidate pesticidal genes for testing through heterologous expression and feeding assays. Who you are: Your success will be driven by your demonstration of our LIFE values. More specifically related to this position, Bayer seeks an incumbent who possesses the following: Required Qualifications: -PhD with 0-3 years’ relevant experience. Or -MS with 3-5 years’ relevant experience. Or -BS with 5-7 years’ relevant experience in bioinformatics, statistics, microbiology, genetics or a related field; -Strong mastery of a subset of bioinformatics, machine learning or statistics skills. -Extensive knowledge of at least one scripting language, e.g. Python, Perl, etc., and of relational databases. -Demonstrated ability to work in a team environment and the ability to adapt to the atmosphere of a dynamic research organization. -Experiences in the following areas: comparative genomics, structural and molecular bioinformatics, machine learning, and statistical design of experiments. Preferred Qualifications: -Experience in cloud and/or grid-based computational environments. -Ability to handle large data sets efficiently using cutting edge platforms and tools, e.g. Apache Spark or Python MLlib.
Additional Info:
Bayer is a global enterprise with core competencies in the Life Science fields of health care and agriculture. Its products and services are designed to benefit people and improve their quality of life. At Bayer you have the opportunity to be part of a culture where we value the passion of our employees to innovate and give them the power to change. Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and you have the "Passion to Innovate" and the "Power to Change", we encourage you to apply now. Job postings will remain open for a minimum of ten business days and are subject to immediate closure thereafter without additional notice. To all recruitment agencies: Bayer does not accept unsolicited third party resumes.[Click Here to Access the Original Job Post]
Your tasks and responsibilities: The primary responsibilities of this role, Scientist ll, are to: -Develop machine learning applications that run on our large data set to predict strains with pesticidal activity and to discover novel pesticidal gene classes. -Predict minimum gene sets that are required to recapitulate strain activity through heterologous expression and subsequent feeding assays. -Curate legacy bioassay data sets for use in machine learning applications; -Work in collaboration with biochemists to prioritize strains for activity guided fractionation based on genome sequences. -Interpret basic biochemistry literature relating to gene function. -Develop or implement text-mining applications to assist in prioritizing candidate pesticidal genes for testing through heterologous expression and feeding assays. Who you are: Your success will be driven by your demonstration of our LIFE values. More specifically related to this position, Bayer seeks an incumbent who possesses the following: Required Qualifications: -PhD with 0-3 years’ relevant experience. Or -MS with 3-5 years’ relevant experience. Or -BS with 5-7 years’ relevant experience in bioinformatics, statistics, microbiology, genetics or a related field; -Strong mastery of a subset of bioinformatics, machine learning or statistics skills. -Extensive knowledge of at least one scripting language, e.g. Python, Perl, etc., and of relational databases. -Demonstrated ability to work in a team environment and the ability to adapt to the atmosphere of a dynamic research organization. -Experiences in the following areas: comparative genomics, structural and molecular bioinformatics, machine learning, and statistical design of experiments. Preferred Qualifications: -Experience in cloud and/or grid-based computational environments. -Ability to handle large data sets efficiently using cutting edge platforms and tools, e.g. Apache Spark or Python MLlib.
Requeriments :
Skills :
- Bioinformatics
- genomic
- Machine Learning
- Programing in Python
- Programing Skills
- Programming in PERL
- Statistics
Areas :
Additional Info:
Bayer is a global enterprise with core competencies in the Life Science fields of health care and agriculture. Its products and services are designed to benefit people and improve their quality of life. At Bayer you have the opportunity to be part of a culture where we value the passion of our employees to innovate and give them the power to change. Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and you have the "Passion to Innovate" and the "Power to Change", we encourage you to apply now. Job postings will remain open for a minimum of ten business days and are subject to immediate closure thereafter without additional notice. To all recruitment agencies: Bayer does not accept unsolicited third party resumes.[Click Here to Access the Original Job Post]