Job description

Axle Informatics is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations around the globe. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).

Axle is seeking a Data Scientist to join our vibrant team.

Benefits We Offer

  • 100% Medical, Dental & Vision premium coverage for Employees
  • Paid Time Off (Including Holidays)
  • Employee Referral Bonus
  • 401K Match
  • Tuition reimbursement and professional development opportunities
  • Flexible Spending Accounts
    • Healthcare (FSA)
    • Parking Reimbursement Account (PRK)
    • Dependent Care Assistant Program (DCAP)
    • Transportation Reimbursement Account (TRN)
The diversity of Axle’s employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.

Responsible for developing analytics and data implementation roadmap and software solutions using Python, MATLAB, R, or Java. Build machine learning algorithms and cloud platform to support analyzing imaging data for assay development and drug discovery. Develop code for abstracted analysis of similar datasets from different cell lines.

Mail resumes to AXLE Informatics, 6116 Executive Blvd, Suite 400, North Bethesda, MD 20852.

Requires a Master’s Degree in Engineering.

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