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Senior bioinformatics scientist vs staff scientist

The differences between senior bioinformatics scientists and staff scientists can be seen in a few details. Each job has different responsibilities and duties. It typically takes 2-4 years to become both a senior bioinformatics scientist and a staff scientist. Additionally, a senior bioinformatics scientist has an average salary of $104,838, which is higher than the $93,941 average annual salary of a staff scientist.

The top three skills for a senior bioinformatics scientist include python, next-generation sequencing and data analysis. The most important skills for a staff scientist are data analysis, research projects, and molecular biology.

Senior bioinformatics scientist vs staff scientist overview

Senior Bioinformatics ScientistStaff Scientist
Yearly salary$104,838$93,941
Hourly rate$50.40$45.16
Growth rate17%17%
Number of jobs56,944121,054
Job satisfaction--
Most common degreeDoctoral Degree, 41%Bachelor's Degree, 60%
Average age4141
Years of experience44

Senior bioinformatics scientist vs staff scientist salary

Senior bioinformatics scientists and staff scientists have different pay scales, as shown below.

Senior Bioinformatics ScientistStaff Scientist
Average salary$104,838$93,941
Salary rangeBetween $66,000 And $164,000Between $63,000 And $137,000
Highest paying CityNovato, CARedwood City, CA
Highest paying stateRhode IslandCalifornia
Best paying companyNVIDIAEtsy
Best paying industryPharmaceuticalTechnology

Differences between senior bioinformatics scientist and staff scientist education

There are a few differences between a senior bioinformatics scientist and a staff scientist in terms of educational background:

Senior Bioinformatics ScientistStaff Scientist
Most common degreeDoctoral Degree, 41%Bachelor's Degree, 60%
Most common majorBiologyChemistry
Most common collegeDuke UniversityDuke University

Senior bioinformatics scientist vs staff scientist demographics

Here are the differences between senior bioinformatics scientists' and staff scientists' demographics:

Senior Bioinformatics ScientistStaff Scientist
Average age4141
Gender ratioMale, 86.3% Female, 13.7%Male, 67.8% Female, 32.2%
Race ratioBlack or African American, 6.3% Unknown, 4.1% Hispanic or Latino, 9.5% Asian, 32.9% White, 47.1% 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 senior bioinformatics scientist and staff scientist duties and responsibilities

Senior bioinformatics scientist example responsibilities.

  • Manage pediatric dose development project, technology transfer project and alternate API supplier qualification project on budget and on schedule
  • Design the NGS base cancer diagnostics report.
  • Assume responsibility for programming, using Perl and CGI and shell scripting.
  • Develop and validate ELISA assays necessary for providing information for PK/PD analysis.
  • Establish purification and purity analysis procedures, and develop numerous ELISA assays.
  • Provide small-scale GLP synthetic chemistry laboratory support to bulk GMP pharmaceutical manufacturing.
  • Show more

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

Senior bioinformatics scientist vs staff scientist skills

Common senior bioinformatics scientist skills
  • Python, 16%
  • Next-Generation Sequencing, 15%
  • Data Analysis, 11%
  • Visualization, 9%
  • Computational Biology, 7%
  • NGS, 6%
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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