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Remote Sas R Python Jobs in California (NOW HIRING)

Tristar Insurance

Data Analyst I

Signal Hill, CA · On-site +1

$114K - $140K/yr

Familiarity with data tools such as SQL, Python, R, or SAS. * Familiarity with Data warehouse techniques and practices * Hands on any data warehouse product * Exposure to data visualization tools (e ...

Synchrony

VP, Verizon Analytics Leader

Costa Mesa, CA · On-site +1

Proven hands-on experience utilizing SAS or SQL data mining skills as well as open-source tools such as R and Python. * Advanced development of dashboards and data visualization tools such as Tableau ...

Synchrony

VP, Verizon Analytics Leader

San Francisco, CA · On-site +1

Proven hands-on experience utilizing SAS or SQL data mining skills as well as open-source tools such as R and Python. * Advanced development of dashboards and data visualization tools such as Tableau ...

Synchrony

Proven hands-on experience utilizing SAS or SQL data mining skills as well as open-source tools such as R and Python. * Advanced development of dashboards and data visualization tools such as Tableau ...

Amat

Artificial Intelligence Director

Santa Clara, CA · On-site +1

$206K - $283K/yr

Performs complex statistical and data-mining analysis, using statistical tools like R, SAS and ... Python programming, to cleanse, integrate and evaluate large datasets. Functional Knowledge

Ambitionary

Quantitative Modeler

San Francisco, CA · On-site +1

... Job Location Remote Time Commitment Less than 20 hours per week, but gradually growing Type of ... MATLAB, R, C++, SQL or some combination thereof to overcome Python's limitations * Be able to ...

Jj

Senior Scientist, Biostatistics

San Diego, CA · On-site +1

Working knowledge of statistical software such as SAS and R is required. * Experience and knowledge ... remotely. (No fully remote option available.) May require up to approximately 10% travel ...

Datafied

Junior Data Analyst

Anaheim, CA · On-site +1

... a remote setting. Preferred Qualifications * Experience with data visualization tools (e.g., Power BI, Tableau). * Familiarity with SQL or other query languages. * Exposure to Python, R, or other ...

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All JobsSas R Python JobsRemote Sas R Python JobsRemote Sas R Python Jobs in California

Remote Sas R Python information

What is the difference between Remote Sas R Python vs Remote Data Analyst?

AspectRemote Sas R PythonRemote Data Analyst
Required SkillsSAS, R, Python, data manipulationExcel, SQL, data visualization, basic statistical analysis
CertificationsSAS certifications, R/Python proficiencyNone mandatory, often preferred certifications in Excel or SQL
Work EnvironmentData analysis, statistical modeling, programmingData interpretation, reporting, visualization
Industry UsageHealthcare, finance, pharmaceuticalsBusiness, marketing, finance

Remote Sas R Python roles focus on advanced statistical programming and data modeling using SAS, R, and Python, often in specialized industries. Remote Data Analysts handle data interpretation, reporting, and visualization, typically requiring skills in Excel and SQL. While both roles involve data work, Sas R Python positions demand programming expertise, whereas Data Analysts focus more on data presentation and insights.

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Remote Sas R Python jobs near you
Machine Learning Engineer (Remote)

Machine Learning Engineer (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$55 - $73/hr

Full-time

Posted 11 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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