Machine Learning Engineer

MACHINE LEARNING, ALGORITHMS, BIOINFORMATICS, GENOMICS, PYTHON, NOSQL, MYSQL, REDIS, MONGODB, JUPYTER, LINUX, GIT
BASED ON EXPERIENCE

Job Description

Our client is seeking a developer with a creative and analytical mind to join their team. You will implement algorithms that process, integrate and visualize the multiple data types, allowing data scientists, biologists and clinicians to interact with and interpret the data.

Must be able to work on a W2 with my company or the client directly.

Duties:

  • Design and develop algorithms and software to process, normalize, organize, visualize and interpret data from multiple modalities.
  • Design and implement Client machine learning algorithms to integrate genomics data.
  • Implement new features, maintain and test existing SCRI code infrastructure
  • Evaluate and compare best practices for processing and analyzing different data types
  • Provide consultation, guidance and training to research scientists using SCRI tools

Requirements:
  • Bachelor's or Master's degree with 3+ years of programming experience
  • Bioinformatics/Genomics experience and familiarity with common concepts, terminologies and software currently used in the field
  • Experience designing large software tools and writing efficient code
  • Proficiency in the testing process; ability to debug and modify code
  • Analytical, reasoning, mathematical and problem-solving skills to develop algorithms
  • Advanced knowledge of algorithms and statistics
  • Proficiencyin Python (including building distributablePython modules)
  • Experience with design and architecture of relational & NoSQL databases (e.g. MySQL, Redis, MongoDB)
  • Familiarity with Jupyter Notebooks
  • Proficiency working in a Linux environment
  • Proficiency working with Git workflows

Desirable Qualifications:
  • PhD in Math, Physics, or Computer Science is desirable
  • Big plus if experienced in
    • Machine Learning
    • Bioinformatics Tools (BWA, STAR, GATK, SAMtools, IGV, )
    • Workflow Frameworks (e.g. WDL, CWL)
    • Cloud computing (e.g. AWS, Google Cloud Platform, Azure) and HPC environment (using LSF/SGE/SLURM)
    • Modern DevOps practices & technologies (e.g. Docker, Jenkins)
    • Familiarity with image analysis and microscopy
Donnelly & Moore is proud to be an Equal Opportunity Employer

We celebrate and embrace the diverse cultures, perspectives, skills and experiences within our workforce, and strive to empower each individual.

When you are hired by Donnelly & Moore you enjoy these benefits:
  • A 401K Retirement Savings Plan administered by ADP
  • Eligibility to Purchase Medical, Dental & Vision insurance through Donnelly & Moore

DONNELLY & MOORE reserves the right to contract only with direct employers/sponsors of applicants and will not contract with intermediaries of applicants. Donnelly & Moore Corporation may request proof of such direct employment/sponsorship prior to considering any applicant"
Dice Id : conf123
Position Id : 20-00217
Originally Posted : 2 months ago
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