27 Jul
Algorithm Validation, Study Analytics
California, Southsanfrancisco , 94083 Southsanfrancisco USA

Vacancy expired!

Job Title - Algorithm Validation, Study Analytics (Sr SW Engineer) Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue exceeding $25 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving complex analytical challenges, improving patient diagnostics and therapies or increasing productivity in their laboratories, we are here to support themLocation - US-South San Francisco OR Pleasanton, CAHow will you make an impact? You will be a part of the fast-growing field of Clinical Diagnostics developing algorithms for molecular diagnostics based on real-time PCR technologies. of assay, reagents, software, hardware designers and manufacturing will revolutionize healthcare through high throughput diagnostic systems. Thermo Fisher Scientific Inc. has played a pivotal role in the COVID-19 pandemic with the TaqPath COVID-19 Combo Kit for testing SARS-CoV-2. We continue to innovate and provide new solutions for the pandemic and we need your talent to help save lives. This is a dynamic career opportunity to join as an Algorithm Validation Engineer, Study Analytics Team member to support our qPCR Algorithm Development Group. What will you do?

  • Organize and data mine clinical data to assess the performance of clinical tests
  • Work closely with scientists and engineers with data analysis & experimental design
  • Develop software and analysis pipelines for data mining large datasets and auto generation of reports
  • Develop classification algorithms and model data
  • Evaluate algorithms needed for filtering, clustering and qualification of data and Perform root cause analysis.
  • Collaborate and communicate with various teams and business units
How will you get here?Education Bachelor's degree in Molecular Biology, Biology, Chemistry, Applied Mathematics, Physics, Electrical Engineering, Computational Biology, Biostatistics, Bioinformatics, Computer Science or related discipline; postgraduate degree (Master's, PhD) is highly preferred. Experience
  • 3+ years of product development experience (biotechnology industry preferred)
  • Strong hands on data analysis, modeling, and classifiers experience
  • Data structures and common methods in data transformation
  • Pattern recognition and predictive modeling skills
  • Excellent programming skills in Java, Python
  • Experience utilizing Matlab, JMP, R
  • Experience in C, PowerBI is a plus
  • Experience working in regulated / validated environment is a major plus
Knowledge, Skills, Abilities
  • Understanding of clinical trial design and evaluation
  • Strong understanding of qPCR and amplification curve data
  • Excellent understanding of statistics for data analysis
  • Prior experience with US-FDA 510k product development/submission, 21 CFR Part 11, and ISO 13485 is highly preferred
  • Ability to present and communicate analytical and clinical study analysis results to non-experts
  • Ability to work independently and in a team environment

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