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Pharmaceutical R&D Jobs in California (NOW HIRING)

Robert Half

Cost & Inventory Manager

Menlo Park, CA · On-site

$70 - $90/hr

... R& D partners to identify cost drivers, refine assumptions, and improve the accuracy of product ... pharmaceutical, or closely related regulated industries. • Strong expertise in standard costing ...

New

The Contingent Plan

Technical Writer II

San Diego, CA · On-site

Collaborate with multiple departments, including Q&R, R&;D, Engineering, and document control, to ... Pharmaceutical and/or medical device experience preferred. * Understanding of cGMP, ISO13485, and ...

Cedars Sinai

Pharmacist - Transition of Care

Los Angeles, CA

$62.75 - $75.50/hr

D. or equivalent degree from an accredited school of pharmacy * Completion of a PGY1 and/or PGY2 ... P.R.) and Code Blue Procedure: Pharmacy Policy and Procedure Experience: * Comprehensive knowledge ...

Department of Human Services

Pharmacist

Riverside, CA

$127K/yr

R. 37.5 (2021). Qualifications:To qualify for this position, your resume must state sufficient ... D. degree, Ph.D., Pharm.D. or equivalent doctoral degree. Basic Requirements for the GS-12 (or ...

Department of Human Services

Pharmacist

Hemet, CA

$127K/yr

R. 37.5 (2021). Qualifications:To qualify for this position, your resume must state sufficient ... D. degree, Ph.D., Pharm.D. or equivalent doctoral degree. Basic Requirements for the GS-12 (or ...

Department of Human Services

Pharmacist

Davis, CA

$127K/yr

R. 37.5 (2021). Qualifications:To qualify for this position, your resume must state sufficient ... D. degree, Ph.D., Pharm.D. or equivalent doctoral degree. Basic Requirements for the GS-12 (or ...

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Pharmaceutical R D information

See California salary details

$11

$46

$101

How much do pharmaceutical r&d jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for pharmaceutical r&d in California is $46.89, according to ZipRecruiter salary data. Most workers in this role earn between $26.13 and $66.38 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Pharmaceutical R&D position, and why are they important?

To thrive in Pharmaceutical R&D, you need a strong background in chemistry, biology, or related life sciences, usually supported by at least a bachelor's or master's degree, and often a Ph.D. for senior roles. Familiarity with laboratory techniques, data analysis software, regulatory guidelines (such as FDA or EMA), and possibly certifications in Good Laboratory Practice (GLP) are important. Strong problem-solving skills, teamwork, and clear scientific communication help professionals excel in collaborative and fast-paced research environments. These skills are crucial for developing safe and effective pharmaceutical products while adhering to industry regulations and project timelines.

What is a Pharmaceutical R&D job?

A Pharmaceutical R&D job involves researching, developing, and testing new drugs to ensure their safety and efficacy. Professionals in this field work on drug discovery, formulation, clinical trials, and regulatory compliance. They collaborate with scientists, medical experts, and regulatory agencies to bring new treatments to market. The role requires a strong background in chemistry, biology, or pharmacology, along with problem-solving and analytical skills.

What kind of collaboration or teamwork can I expect in a Pharmaceutical R&D position?

Pharmaceutical R&D professionals frequently work in multidisciplinary teams that may include chemists, biologists, data analysts, clinical researchers, and regulatory specialists. Daily work often involves regular meetings, project updates, and coordinated experiments or studies to further drug development. You can expect to closely collaborate on solving complex problems, sharing findings, and ensuring research progresses efficiently. This collaborative environment encourages knowledge sharing and innovation, making it essential for professionals in R&D to communicate effectively and work well with diverse colleagues.

What are the most commonly searched types of Pharmaceutical R&D jobs in California? The most popular types of Pharmaceutical R&D jobs in California are:
What are popular job titles related to Pharmaceutical R&D jobs in California? For Pharmaceutical R&D jobs in California, the most frequently searched job titles are:
What job categories do people searching Pharmaceutical R&D jobs in California look for? The top searched job categories for Pharmaceutical R&D jobs in California are:
Pharmaceutical R D jobs near you
Infographic showing various Pharmaceutical R&D job openings in California as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $97,527 per year, or $46.9 per hour.
Machine Learning Engineer (Remote)

Machine Learning Engineer (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$55 - $73/hr

Full-time

Re-posted 18 days ago

Job description

Our client is a leader in healthcare innovation, seamlessly integrating pharmaceutical development, diagnostic solutions, and advanced technology and data capabilities.
Title: Machine Learning Engineer (Contract)
Pay rate: $55-73/hr+ (Depends on experience)
Location: Remote in the US or Canada, or onsite in SSF. Must be available during PST hours.
Duration: Through Dec. 2026 (Likely to get extended)
Overview:
Seeking a Machine Learning Bioinformatics Engineer to develop and deploy advanced ML solutions supporting pharmaceutical R&D. This role focuses on analyzing large-scale, multimodal clinicogenomic datasets (genomic, transcriptomic, clinical, and real-world data) to drive insights into disease biology, patient stratification, and treatment response. Ideal candidates are strong in both machine learning and bioinformatics, with a passion for translating complex data into impactful discoveries.
Key Responsibilities:
  • Build and deploy scalable, production-ready machine learning models
  • Process and analyze genomic and transcriptomic data using bioinformatics pipelines
  • Prepare high-quality, normalized biological datasets for downstream analysis
  • Train large-scale models using frameworks like PyTorch Lightning and Hugging Face
  • Develop cloud-based ML solutions (AWS/GCP) with a focus on scalability and reproducibility
  • Collaborate with cross-functional teams to uncover biomarkers and therapeutic targets
  • Provide technical input and guidance on ML system design and implementation

Qualifications:
  • PhD with 0-2 years of relevant work experience, or MS with 3-5 years of relevant work experience, or BS with 4-7 years of relevant work experience.
  • Proficient programming skills: Strong Python programming skills with extensive experience in ML and data libraries (e.g., NumPy, pandas, PyTorch).
  • Deep ML expertise: Excellent knowledge of modern machine learning methods and development best practices, including training strategies, model validation, performance visualization, and experimental design.
  • Deep bioinformatic expertise: Proficient knowledge of bioinformatic processing pipelines for genomic and transcriptomic variables.
  • Strong knowledge of computational oncology, cancer genomics and analysis of clinicogenomics datasets.
  • Must be authorized to work in the United States

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