Bioinformatics, Data Scientist

at  Thermo Fisher Scientific

SSF, California, USA - 94080

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate14 Aug, 2021Not Specified15 May, 2021N/AJmp,Biotechnology Industry,Iso,Classifiers,Pattern Recognition,Matlab,Java,Biostatistics,Physics,Data Structures,Applied Mathematics,R,Molecular Biology,C++,Modeling,Bioinformatics,Chemistry,Python,Computational Biology,Computer ScienceNoNo
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Description:

JOB TITLE – BIOINFORMATICS, DATA SCIENTIST

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 them

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 and 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
  • Knowledge in Molecular Biology and Clinical Diagnostics
  • Strong understanding of qPCR and amplification curve data
  • 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

Responsibilities:

  • Organize and data mine / annotate 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


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Pharmaceuticals

Clinical Pharmacy

Graduate

Computer Science, Biology, Chemistry, Electrical, Electrical Engineering, Engineering, Mathematics

Proficient

1

South San Francisco, CA, USA