Machine Learning Scientist- Genomics Bioinformatics

Organization
Agilent Technologies
Job Location
Santa Clara, CA 95050
Job Description

Agilent inspires and supports discoveries that advance the quality of life. We provide life science, diagnostic and applied market laboratories worldwide with instruments, services, consumables, applications and expertise. Agilent enables customers to gain the answers and insights they seek –– so they can do what they do best: improve the world around us. Information about Agilent is available at www.agilent.com.

We are seeking an experienced machine learning scientist whose skills spans the spectrum of Machine Learning/Data-Science research. Join our genomics informatics R&D team in developing novel and profitable products which help in the fight against cancer and advance human health. Discover what we really are – inventors, scientists, engineers, and visionaries working together to address our customers' complex biological questions with state of the art software and data science solutions.

We are seeking a highly motivated individual to join our team. As part of this team, you will be working with scientists across various disciplines to analyze and present decision making results both internally and to external customers and technical conferences.

As a member of Agilent's Diagnostics and Genomics business group you will play a key role in the success of our business through development and implementation of novel genomics and molecular biology solutions for the research and the clinical application fields.

Responsibilities
----------------
* Gathering and analyzing data, identifying key prediction/classification problems, devising solutions and building prototypes to enforce and guide development of new genomic assays.
* Design and build data mining/analysis tools to predict the outcome/performance/success of our genomics platforms.
* Explore novel algorithmic approaches to mining of genomic variant data.
* Provide mentoring and guidance to team members on machine learning development.

Requirements

Qualifications
--------------
* MSc/PhD Degree in statistics, computer science, bioinformatics or equivalent discipline.
* 7+ years of experience within the data science field.
* Expertise in predictive analytics/statistical modeling/data mining algorithms.
* Proven experience in machine learning methodologies such as regression/classification modeling, unsupervised/supervised/reinforced learning, and ensemble methods is required.
* Excellent knowledge/experience with data preparation and normalization (feature engineering) for modelling.
* Professional experience writing Python and/or Java/C code, preferably within a team environment (revision control, issue tracking, code-review)
* Expertise in one or more of the following, or equivalent frameworks, Scikit learn, Keras, Caffe, Theano, TensorFlow, R Caret, Weka.
* Strong knowledge of Linux environments.
* Ability to build (architecture and implement) an R&D machine learning infrastructure from the ground up.

Desired Skills
--------------
* Demonstrated knowledge with cloud-infrastructures (e.g. AWS, Google, OpenStack) and configuration management tools (e.g. Ansible)
* Genomic/Life-Science data analysis with familiarity of existing methods and ability to prototype and implement new methodologies as needed.
* Knowledge of public biological databases, tools, and repositories.

Agilent Technologies, Inc. is an Equal Employment Opportunity and Affirmative Action employer. We value diversity at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases.

For more information about equal employment opportunity protections, please view the ‘EEO is the Law’ poster available here:
https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf,

https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Suppleme...

Agilent Technologies, Inc., is committed to diversity in the workplace and strives to support candidates with disabilities. If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility, please contact +1-262-754-5030 (US and Canada only) or email job_posting@agilent.com. EOE AA M/F/Vet/Disability

How to Apply
About Our Organization

Agilent inspires and supports discoveries that advance the quality of life. We provide life science, diagnostic and applied market laboratories worldwide with instruments, services, consumables, applications and expertise. Agilent enables customers to gain the answers and insights they seek –– so they can do what they do best: improve the world around us. Information about Agilent is available at www.agilent.com.

Students whose classmates are interested in science are more likely to think about a career in science, technology, engineering, and mathematics, a new study says.

CNBC reports that the genetic counseling field is expected to grow as personalized medicine becomes more common.

Gladys Kong writes at Fortune that her STEM background has helped her as a CEO.

Social scientists report that the image of the 'lone scientist' might be deterring US students from STEM careers.