Machine Learning Scientist – Booming Biotech Startup (Cambridge)

Job ID: 551812266
Job date: 2018-02-09
End Date:

Company : CyberCoders 

Country :

Role : Research Scientist 


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Job Description:
If you are a Machine Learning Scientist with 5+ years of experience, please read on!

What You Will Be Doing:

We are seeking a candidate with expertise in machine learning (ML) to develop and benchmark predictive algorithms based on proprietary biological data sets.

Responsibilities:

  • Develop predictive algorithms to support Neon's personalized neoantigen therapies
  • Integrate novel algorithms into software that is used for personalized vaccine design and other clinical applications
  • Benchmark performance according to internal and external ML algorithms/approaches
  • Collaborate with diverse lab groups to build optimal experimental plans
  • Develop and contribute to external collaborations and partnerships
  • Liaise with lab scientists and software engineers as a project team member and provide expertise as a scientific resource
What You Need for this Position:
  • At least five years of project-based work in the ML field; there is a preference for candidates with a Masters or Ph.D. in in electrical engineering, computer science, applied math, bioinformatics or related field; a proven track record of quality of work in this field is required.
  • Fluency in Python with expertise in keras, pytorch, theano, or tensorflow
  • Experience working with GPU in a cluster computing environment
  • Ability to manage and customize cloud-based computing environments
  • Project-based experience with deep learning (including CNNs and RNNs) and handling large, high-dimensional data sets
  • Up-to-date knowledge of the fast-moving ML literature and familiarity with field leaders
  • Contributions to the ML community via publication and/or blog posts, etc.
  • Working understanding of basic biology
  • Eagerness to learn about oncology, cancer genomics, and immunology
  • Proven track record of working in a team environment with scientists of diverse backgrounds
  • Strong communication and presentation skills; ability to translate and communicate complex computational results for scientists of diverse backgrounds
Additional Qualifications:
  • Familiarity with protein biophysics, x-ray crystallography, and/or molecular dynamics
  • Experience in genomics and interpretation of next-generation sequencing data
  • A working knowledge of SQL and/or experience with non-relational/alternative databases
  • Experience with basic statistical inference methods


Requeriments :

Skills :

Areas :


Additional Info:
Top Reasons to Work with Us:
  • Based in Cambridge, MA, we are a rapidly-growing biotech startup.
  • We have raised over $125 million in funding to help propel us in our journey to beat cancer.
  • You will get the chance to work on exciting, life-changing projects.
What's In It for You:

-Competitive base salary

-Equity

-401k

-Medical/Dental/Vision Coverage

-PTO/Vacation

-Paid Holidays

So, if you are a Machine Learning Scientist with 5+ years of experience, please apply today!

Email Your Resume In Word To:

Looking forward to receiving your resume through our website and going over the position with you. Clicking apply is the best way to apply, but you may also:

Reed.Kellick@CyberCoders.com

Please do NOT change the email subject line in any way. You must keep the JobID: linkedin : RK1-1422571 -- in the email subject line for your application to be considered.***

Reed Kellick - Recruiting Manager - CyberCoders

Applicants must be authorized to work in the U.S.

CyberCoders, Inc is proud to be an Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.

Your Right to Work - In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.

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