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Data Scientist Biochemistry Jobs in Riverside, CA

Prepare technical reports, analyze data, and present findings to cross-functional teams. * Ensure ... PhD + 4+ years or Master's + 6+ years in Chemistry, Biochemistry, Pharmaceutical Sciences, or ...

Collaborate on the studies for enzyme purification and activity control with biochemistry SME ... Capability to develop study protocols, analyze data, and propose theoretical solutions/explanations ...

Collaborate on the studies for enzyme purification and activity control with biochemistry SME ... Capability to develop study protocols, analyze data, and propose theoretical solutions/explanations ...

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Data Scientist Biochemistry information

See Riverside, CA salary details

$39.1K

$128K

$205K

How much do data scientist biochemistry jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data scientist biochemistry in Riverside, CA is $128,049.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,800.00 and $141,900.00 per year, depending on experience, location, and employer.

How does a Data Scientist in Biochemistry typically collaborate with laboratory researchers and other scientific teams?

As a Data Scientist in Biochemistry, you'll frequently work alongside laboratory researchers, chemists, and biologists to interpret experimental results and develop data-driven insights. Collaboration often involves translating complex biological questions into computational problems, analyzing large datasets from experiments, and communicating findings in a way that supports ongoing research. Effective teamwork and clear communication are crucial, as you'll help bridge the gap between experimental science and analytical modeling, ensuring that data analyses are aligned with scientific objectives.

Is 30 too late for data science?

For a Data Scientist in biochemistry, starting a career at age 30 is feasible, especially with relevant skills such as programming, statistical analysis, and domain knowledge. Many professionals transition into data science later in life, and employers value experience and expertise. Continuous learning through online courses and certifications can enhance job prospects regardless of age.

Can a biochemist become a data scientist?

A biochemist can become a data scientist by acquiring skills in programming, statistics, and data analysis tools such as Python, R, and SQL. Transitioning often involves additional training or education in data science concepts and machine learning techniques, which are applicable across various scientific fields including biochemistry.

What is the highest paid job in biochemistry?

In biochemistry, the highest paid roles are often senior research directors, biotech executives, or pharmaceutical R&D leaders, with salaries exceeding $150,000 annually. These positions typically require advanced degrees, extensive experience, and strong leadership skills, often complemented by expertise in data analysis and laboratory management.

What are the key skills and qualifications needed to thrive as a Data Scientist in Biochemistry, and why are they important?

To thrive as a Data Scientist in Biochemistry, you need a strong background in biochemistry or molecular biology, advanced statistical analysis, and programming skills (often with a master's or Ph.D. in a related field). Familiarity with tools such as Python, R, machine learning frameworks, and bioinformatics databases is typically required, along with experience using laboratory data management systems. Exceptional problem-solving, critical thinking, and communication skills set candidates apart, enabling them to interpret complex biological data and collaborate across scientific teams. These skills are crucial for transforming raw biochemical data into actionable insights that drive research and innovation in life sciences.

What does a Data Scientist in Biochemistry do?

A Data Scientist in Biochemistry applies data analysis, machine learning, and statistical techniques to large sets of biochemical data. They work with experimental results, genomic sequences, protein structures, and other biological datasets to uncover patterns, make predictions, and support scientific discoveries. Their work often involves collaboration with biochemists to design experiments, interpret results, and contribute to advancements in areas like drug discovery and understanding disease mechanisms.

What is the difference between Data Scientist Biochemistry vs Data Analyst Biochemistry?

AspectData Scientist BiochemistryData Analyst Biochemistry
Required CredentialsDegree in Biochemistry, Data Science, or related fields; proficiency in programming and statistical toolsDegree in Biochemistry, Life Sciences, or related fields; basic data analysis skills
Work EnvironmentResearch labs, biotech companies, pharmaceutical firms, often involving complex data modelingLaboratories, research institutions, healthcare settings, focusing on data reporting and visualization
Employer & Industry UsageUsed in biotech, pharma, research institutions for advanced data modeling and predictive analyticsCommon in healthcare, research labs for data reporting, trend analysis, and basic statistical tasks

While both roles require a background in biochemistry, Data Scientist Biochemistry focuses on advanced data modeling, machine learning, and predictive analytics, often requiring programming skills. Data Analysts Biochemistry primarily handle data reporting, visualization, and basic statistical analysis. The roles differ mainly in complexity and technical expertise, but both are vital in biotech and healthcare industries.

What is the 80 20 rule in data science?

In data science, including roles like a biochemistry data scientist, the 80/20 rule suggests that roughly 80% of results come from 20% of the efforts or data. This principle helps prioritize features, data cleaning, and analysis focus to improve model performance efficiently.
What job categories do people searching Data Scientist Biochemistry jobs in Riverside, CA look for? The top searched job categories for Data Scientist Biochemistry jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Data Scientist Biochemistry jobs? Cities near Riverside, CA with the most Data Scientist Biochemistry job openings:
Senior Scientist

$48/hr

Other

Posted 19 days ago


Job description

Trident Consulting is seeking a " Senior Scientist" for one of our clients in "Aliso Viejo, CA " A global leader in business and technology services.


Role: Senior Scientist – Pharmaceutical Development

Location: Aliso Viejo, CA

Pay: $48/hr - 58/hr (w2)

Shift: 1st shift

Duration: Start date 06-01-2026 End date 09-20-2026

Contract


Overview

Lead formulation and process development for biologics, combination products, and advanced drug delivery systems. Support product innovation, process optimization, technology transfer, and commercialization in a cGMP/cGLP regulated environment.

Key Responsibilities

  • Develop and optimize pharmaceutical/biologic formulations and drug delivery systems.
  • Design and execute formulation, characterization, and Process Analytical Technology (PAT) studies.
  • Support technology transfer and process transfer to Manufacturing, QA/QC, CMOs, and CROs.
  • Prepare technical reports, analyze data, and present findings to cross-functional teams.
  • Ensure compliance with ICH (Q2, Q3, Q5, Q6, Q11), cGMP, and cGLP requirements.
  • Create SOPs and evaluate new technologies, ingredients, and competitor products.

Required Qualifications

  • PhD + 4+ years or Master's + 6+ years in Chemistry, Biochemistry, Pharmaceutical Sciences, or related field.
  • 5+ years in pharmaceutical/biotech formulation and process development.
  • Strong experience with biologics, drug delivery systems, and pharmaceutical formulations.
  • Knowledge of ICH Guidelines (Q2, Q3, Q5, Q6, Q11), cGMP, and cGLP.
  • Experience with data analysis, technical documentation, SOP writing, and technology transfer.
  • Proficient in Excel, Word, PowerPoint, and laboratory instrument software.

Preferred

  • Protein formulation and characterization.
  • Biologic drug development and Process Analytical Technology (PAT).
  • Excellent communication and cross-functional collaboration skills.



Trident Consulting logo

About Trident Consulting

Sourced by ZipRecruiter

Trident Consulting is a certified 100% woman- and minority-owned staffing company, incorporated in 2005. Some of our achievements include making it to the Inc. 5000 list and Bay Area's list of Top 100 fastest growing companies.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Dublin, CA, US

Year founded

2005

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