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Weather algorithm scientist vs associate scientist

The differences between weather algorithm scientists and associate 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 an associate scientist takes usually requires 2-4 years. Additionally, an associate scientist has an average salary of $76,461, 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 an associate scientist are chemistry, patients, and cell culture.

Weather algorithm scientist vs associate scientist overview

Weather Algorithm ScientistAssociate Scientist
Yearly salary$70,358$76,461
Hourly rate$33.83$36.76
Growth rate17%17%
Number of jobs41,47154,950
Job satisfaction--
Most common degreeDoctoral Degree, 42%Bachelor's Degree, 73%
Average age4041
Years of experience24

Weather algorithm scientist vs associate scientist salary

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

Weather Algorithm ScientistAssociate Scientist
Average salary$70,358$76,461
Salary rangeBetween $42,000 And $115,000Between $53,000 And $109,000
Highest paying CitySan Francisco, CASan Francisco, CA
Highest paying stateCaliforniaCalifornia
Best paying companyMetaPhillips 66
Best paying industry-Manufacturing

Differences between weather algorithm scientist and associate scientist education

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

Weather Algorithm ScientistAssociate Scientist
Most common degreeDoctoral Degree, 42%Bachelor's Degree, 73%
Most common majorPhysicsBiology
Most common collegeCornell UniversityUniversity of Southern California

Weather algorithm scientist vs associate scientist demographics

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

Weather Algorithm ScientistAssociate Scientist
Average age4041
Gender ratioMale, 92.3% Female, 7.7%Male, 48.6% Female, 51.4%
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, 6.4% Unknown, 4.1% Hispanic or Latino, 9.7% Asian, 26.3% White, 53.3% American Indian and Alaska Native, 0.1%
LGBT Percentage8%8%

Differences between weather algorithm scientist and associate 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.

Associate scientist example responsibilities.

  • Manage study protocols and study conduct, intimately involve in the toxicology and pharmacokinetic study protocol development process.
  • Generate crispr knockout STAT1, STAT3 and STAT1 & 3double knockout cell lines.
  • Use CRISPR technology to create target knockout cell line.
  • Direct ISO 9000 4.10 team registration activities and perform internal audits.
  • Prepare stock reagents and buffers for use in manufacturing assay kits.
  • Confirm the quality of product meet specifications according to cGMP and ICH guidelines.
  • Show more

Weather algorithm scientist vs associate scientist skills

Common weather algorithm scientist skills
  • MATLAB, 92%
  • Image Quality, 8%
Common associate scientist skills
  • Chemistry, 9%
  • Patients, 8%
  • Cell Culture, 5%
  • Data Analysis, 5%
  • GMP, 4%
  • Lab Equipment, 3%

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