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Weather algorithm scientist vs scientist

The differences between weather algorithm scientists and scientists can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 1-2 years to become a weather algorithm scientist, becoming a scientist takes usually requires 2-4 years. Additionally, a scientist has an average salary of $97,344, which is higher than the $70,358 average annual salary of a weather algorithm scientist.

The top three skills for a weather algorithm scientist include MATLAB, image quality and . The most important skills for a scientist are chemistry, data analysis, and patients.

Weather algorithm scientist vs scientist overview

Weather Algorithm ScientistScientist
Yearly salary$70,358$97,344
Hourly rate$33.83$46.80
Growth rate17%17%
Number of jobs41,47162,467
Job satisfaction--
Most common degreeDoctoral Degree, 42%Bachelor's Degree, 60%
Average age4041
Years of experience24

Weather algorithm scientist vs scientist salary

Weather algorithm scientists and scientists have different pay scales, as shown below.

Weather Algorithm ScientistScientist
Average salary$70,358$97,344
Salary rangeBetween $42,000 And $115,000Between $67,000 And $140,000
Highest paying CitySan Francisco, CARedwood City, CA
Highest paying stateCaliforniaCalifornia
Best paying companyMetaAirbnb
Best paying industry-Technology

Differences between weather algorithm scientist and scientist education

There are a few differences between a weather algorithm scientist and a scientist in terms of educational background:

Weather Algorithm ScientistScientist
Most common degreeDoctoral Degree, 42%Bachelor's Degree, 60%
Most common majorPhysicsChemistry
Most common collegeCornell UniversityUniversity of Southern California

Weather algorithm scientist vs scientist demographics

Here are the differences between weather algorithm scientists' and scientists' demographics:

Weather Algorithm ScientistScientist
Average age4041
Gender ratioMale, 92.3% Female, 7.7%Male, 56.9% Female, 43.1%
Race ratioBlack or African American, 3.0% Unknown, 5.0% Hispanic or Latino, 6.6% Asian, 28.9% White, 56.3% American Indian and Alaska Native, 0.1%Black or African American, 6.5% Unknown, 4.1% Hispanic or Latino, 9.8% Asian, 26.3% White, 53.2% American Indian and Alaska Native, 0.1%
LGBT Percentage8%8%

Differences between weather algorithm scientist and scientist duties and responsibilities

Weather algorithm scientist example responsibilities.

  • Manage sample inventory via in-house laboratory information management system (LIMS) and implement additional systems for sample and chemical organization.
  • Develop the ultrasound algorithm and fuzzy logic to combine ultrasound and ECG signal.
  • Design ECG biometric algorithms with state-of-the-art equal error rate.
  • Key activities include process chemistry development, synthesis of intermediates, compound purification and structure identification, and comprehensive scientific documentation.
  • Support all GMP activities for manufacturing plant equipment release, including method development and validation, and cleaning verification.

Scientist example responsibilities.

  • Lead a cross-functional team to return an HIV combination product to market on random-access instrument.
  • Design the VERIS HIV-1 quantitative PCR assay which achieve Conformit Europ enne (CE) marking.
  • Manage an elemental analytical laboratory that include operating, maintaining and troubleshooting an ICP-OES, ICPMS, MXRF, and IC.
  • Develop and manage third party claim investigations and contractor remedial oversight for various insurance companies.
  • Manage study protocols and study conduct, intimately involve in the toxicology and pharmacokinetic study protocol development process.
  • Manage sample inventory via in-house laboratory information management system (LIMS) and implement additional systems for sample and chemical organization.
  • Show more

Weather algorithm scientist vs scientist skills

Common weather algorithm scientist skills
  • MATLAB, 92%
  • Image Quality, 8%
Common scientist skills
  • Chemistry, 9%
  • Data Analysis, 7%
  • Patients, 7%
  • Molecular Biology, 4%
  • Cell Culture, 4%
  • Java, 3%

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