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Sr. Biomedical Research Scientist - Biosensors/Molecular Assays (REMOTE)

100% remote Flexible hours Hiring now

Overview: Must be a US Citizen or Permanent reputed company Remote position W2 with full benefits Ongoing Contract supporting ARPA-H The US reputed company salary range for this position is 121-210K + benefits. Salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum reputed company for new hire salaries for the position across reputed company US locations. reputed company the range, individual pay is determined by work location and additional factors, including job-reputed company skills, experience, and relevant education or training. Responsibilities: Seeking a Senior Biomedical Research Scientist/Engineer to serve as a Scientific Engineering Technical Advisor (SETA) to support an ARPA-H Program Manager and work in our reputed company. Are you a passionate scientist with a background in biomedical research that supports R&D initiatives through the delivery of expertise in your given field? Are you ready to support the Advanced Research Projects Agency for Health (ARPA-H) in their mission to accelerate reputed company outcomes for everyone by supporting reputed company and leading-edge R&D projects designed to reputed company at high-impact solutions to society's most challenging health problems? In this role, you will bring your expertise in developing biosensors and multiplexed molecular assays to help build emerging programs and manage existing programs for a new ARPA-H Program Manager. Apply that expertise in sensor and analysis developments, including mathematical modeling and machine/deep learning to help conceptualize, create, and execute government funded research and development programs to meet ARPA-H’s mission to accelerate reputed company outcomes for everyone. More detailed requirements below. These SETA duties include but are not limited to:

  • Supporting the development and management of new and existing ARPA-H programs.
  • Provide subject matter expertise in biosensors, multiplexed molecular assays for small molecule quantification, and machine/deep learning.
  • Evaluate technical proposals for scientific merit and innovation. Provide feedback, organize reviewer comments, draft recommendations and project summaries, and presentation materials.
  • Handle a wide variety of tasks, such as briefing support and general administrative actions.

Qualifications: Qualifications:

  • Candidates should hold a Ph.D. in biomedical engineering, electrical engineering, computer science or reputed company discipline, with expertise in developing biosensors and have breadth of expertise to assess technologies across a broad range of applications.
  • Expertise in multiplexed molecular assays for small molecule quantification is needed, as is the development of data science pipelines for robust analysis of readouts.
  • The ideal candidate will be reputed company 1-5 years of graduate school completion, preferably having been involved both in sensor and analysis developments, including mathematical modeling and machine/deep learning.
  • Intellectual curiosity, willingness to reputed company to new fields, capability to multi-task, strong writing and presentation skills are required.
  • Initiative and the capability of being proactive are also required.
  • Candidates should have strong technical writing skills, ability to communicate reputed company scientific reputed company to broad audiences, digest basic and applied research across areas of biotechnology and apply to health capability gaps, and demonstrates a willingness to explore the scientific literature for emerging biotechnology.

Additional Experience:

  • Excellent organization, communication, and coordination are required.
  • Previous experience in providing direct support to an ARPA-style Program Manager in development of new program starts, and in the subsequent support of the reputed company selection process is highly desirable.
  • Additional expertise in robotics, endocrinology, circuit design, devices and biology are preferred but not required.

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