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Clinical laboratory scientist Jobs in Spokane Valley, WA
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Clinical laboratory scientist • spokane valley wa
Senior Data Scientist
AkvelonWA- Promoted
Clinical - Medical Assistant
All Medical PersonnelSpokane, WA, USPrincipal Data Scientist
T-MobileWA, , Building 2Quality Associate III - Analytical Laboratory
Baxter InternationalSpokane, WA, United StatesMedical Laboratory Scientist MLS or MLT 0002
Spearhead Staffing LLCSpokane, WAData Scientist
Versa NetworksSpokaneLicensed Clinical Psychologist
HeadwaySpokane, WA, United StatesSpecimen Processor Medical Laboratory 8759
Joseph Michaels InternationalSpokane, WA- Promoted
- New!
Supervisor Clinical Laboratory
Providence ServiceSpokane, WA, United StatesSpecimen Processor Medical Laboratory 9647
Impact Solutions, IncSpokane, WA, USStaff Data Scientist
CrunchbaseWashington, United StatesSpecimen Processor Medical Laboratory 8885
7SolutionsUSASpokane, WA- Promoted
Licensed Clinical Psychologist
Headway - Design & DevelopmentSpokane, WA, United States- Promoted
Supervisor Clinical Laboratory
ProvidenceSpokane, WA, United StatesLaboratory Technician
AmentumSpokane, Washington, United StatesProcess Development Scientist
Weil Group, IncSpokane, WA, United StatesSpecimen Processor Medical Laboratory 9647
Abacus Search StaffingSpokane, WAThe average salary range is between $ 20,000 and $ 134,702 year , with the average salary hovering around $ 104,500 year .
- director of software engineering (from $ 160,600 to $ 245,000 year)
- machine learning engineer (from $ 145,000 to $ 235,450 year)
- machine learning (from $ 135,458 to $ 234,943 year)
- rf design engineer (from $ 115,000 to $ 226,693 year)
- director of analytics (from $ 81,250 to $ 225,000 year)
- engineering program manager (from $ 175,250 to $ 221,600 year)
- reliability engineer (from $ 120,000 to $ 219,500 year)
- rf engineer (from $ 132,246 to $ 219,500 year)
- verification engineer (from $ 145,486 to $ 217,750 year)
- software engineering manager (from $ 167,500 to $ 211,000 year)
- Boston, MA (from $ 65,325 to $ 200,000 year)
- Springfield, IL (from $ 67,030 to $ 189,150 year)
- Lansing, MI (from $ 68,130 to $ 188,035 year)
- Syracuse, NY (from $ 65,325 to $ 172,755 year)
- Fayetteville, NC (from $ 169,650 to $ 171,600 year)
- North Charleston, SC (from $ 65,325 to $ 167,993 year)
- North Las Vegas, NV (from $ 65,325 to $ 167,700 year)
- Rockford, IL (from $ 50,863 to $ 167,700 year)
- Oxnard, CA (from $ 108,225 to $ 164,288 year)
- Peoria, IL (from $ 65,325 to $ 163,800 year)
The average salary range is between $ 75,565 and $ 133,001 year , with the average salary hovering around $ 102,851 year .
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Senior Data Scientist
AkvelonWA- Full-time
About us
Akvelon Inc. (USA) works in the field of software engineering based on a variety of technologies. Our company is a member of the vendor program, which gives employees the opportunity to work with clients in the United States and other countries ( Microsoft, Facebook, Airbnb, Dropbox, Pinterest, and many others). This is a great opportunity to learn from and work with leading engineers of world-renowned companies.
About project
We seek a highly skilled and motivated Senior Data Scientist to join our team. This role is critical in developing and implementing machine learning models and algorithms that enhance our AI-driven medical imaging platform. You will work closely with cross-functional teams, including software engineering, product management, and clinical experts, to develop innovative solutions that transform 2D X-ray images into 3D, ultimately impacting patient care.
Responsibilities
- Data Analysis :
- Analyze large datasets to extract meaningful insights and patterns.
- Perform exploratory data analysis to inform model development and refinement.
- Collaborate with clinical experts to understand and incorporate domain-specific knowledge into models.
- Model Development and Optimization :
- Design and develop machine learning models with the software engineering team.
- Ensure models are scalable, robust, and performant in real-world clinical settings.
- Monitor and evaluate model performance, making improvements as necessary.
- Stay current with the latest research and advancements in machine learning and medical imaging.
- Collaboration and Communication :
- Collaborate with cross-functional teams to understand user needs and translate them into technical requirements.
- Communicate technical progress and challenges to stakeholders, including executive leadership.
- Contribute to the development of technical documentation and presentations.
- Quality and Compliance :
- Implement best practices for data management, model development, and deployment.
- Ensure compliance with industry standards and regulatory requirements (e.g., HIPAA, FDA).
- Maintain a strong focus on quality assurance and user experience.
Requirements