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Weather algorithm scientist vs staff scientist

The differences between weather algorithm scientists and staff 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 staff scientist takes usually requires 2-4 years. Additionally, a staff scientist has an average salary of $93,941, 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 staff scientist are data analysis, research projects, and molecular biology.

Weather algorithm scientist vs staff scientist overview

Weather Algorithm ScientistStaff Scientist
Yearly salary$70,358$93,941
Hourly rate$33.83$45.16
Growth rate17%17%
Number of jobs41,471121,054
Job satisfaction--
Most common degreeDoctoral Degree, 42%Bachelor's Degree, 60%
Average age4041
Years of experience24

Weather algorithm scientist vs staff scientist salary

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

Weather Algorithm ScientistStaff Scientist
Average salary$70,358$93,941
Salary rangeBetween $42,000 And $115,000Between $63,000 And $137,000
Highest paying CitySan Francisco, CARedwood City, CA
Highest paying stateCaliforniaCalifornia
Best paying companyMetaEtsy
Best paying industry-Technology

Differences between weather algorithm scientist and staff scientist education

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

Weather Algorithm ScientistStaff Scientist
Most common degreeDoctoral Degree, 42%Bachelor's Degree, 60%
Most common majorPhysicsChemistry
Most common collegeCornell UniversityDuke University

Weather algorithm scientist vs staff scientist demographics

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

Weather Algorithm ScientistStaff Scientist
Average age4041
Gender ratioMale, 92.3% Female, 7.7%Male, 67.8% Female, 32.2%
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, 6.2% Unknown, 4.1% Hispanic or Latino, 9.4% Asian, 26.5% White, 53.6% American Indian and Alaska Native, 0.1%
LGBT Percentage8%8%

Differences between weather algorithm scientist and staff 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.

Staff scientist example responsibilities.

  • Lead efforts to replace a critical radioactive immunoassay with a non-radioactive format to measure clinical samples.
  • Manage clinical sample testing using MSD and ELISA in LIMS, including data review and approval using LIMS.
  • Assist in managing and maintenance of HPLC and Prep-HPLC systems to ensure maximum productivity for the process development group.
  • Manage pediatric dose development project, technology transfer project and alternate API supplier qualification project on budget and on schedule
  • Assist with RNA and DNA extractions from FFPE tissue and blood.
  • Supervise temps performing HPLC assays and validations during development and production campaigns under GMP conditions.
  • Show more

Weather algorithm scientist vs staff scientist skills

Common weather algorithm scientist skills
  • MATLAB, 92%
  • Image Quality, 8%
Common staff scientist skills
  • Data Analysis, 9%
  • Research Projects, 7%
  • Molecular Biology, 5%
  • Next-Generation Sequencing, 4%
  • Statistical Analysis, 4%
  • RNA, 4%

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