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Trainee Exploratory Data Analysis Jobs in California

Apex Informatics

Data Engineer

Pleasanton, CA · On-site

$127K - $152K/yr

... Exploratory Data Analysis (EDA) You have proven hands-on experience with cloud-based data warehousing / data lake platforms such as AWS S3, GitRepo, Lambda

Ampcus Inc

Data Analyst.

Culver City, CA · On-site

... exploratory data analysis • Employ data mining, model building, segmentation, and other analytical techniques to capture important trends in the customer base • Participate in strategic and ...

Staffingine LLC

Senior Data Scientist

Los Angeles, CA · On-site

Perform exploratory data analysis to identify patterns trends and opportunities for business improvement * Collaborate with stakeholders to define key performance indicators and success metrics

Apple

Data Scientist

Cupertino, CA · On-site

Our day-to-day work crosses many functional areas, including experimental design, AB testing, exploratory data analysis, AI/ML modeling, data mining, and more. Minimum Qualifications MS/PhD in ...

Apple, Inc.

Data Scientist

Cupertino, CA · On-site

Our day-to-day work crosses many functional areas, including experimental design, AB testing, exploratory data analysis, AI/ML modeling, data mining, and more. Minimum Qualifications MS/PhD in ...

DEUNA

Data Science intern

San Francisco, CA · On-site

Perform exploratory data analysis to identify trends and patterns. * Support the development and evaluation of machine learning models. * Build dashboards and visualizations to communicate business ...

DEUNA

Data Science intern

San Francisco, CA

Perform exploratory data analysis to identify trends and patterns. * Support the development and evaluation of machine learning models. * Build dashboards and visualizations to communicate business ...

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Director, Medical Analytics and Exploratory Data Science

Revolution Medicines

Redwood City, CA • Hybrid

Full-time

Re-posted 2 days ago

Job description

The Opportunity:

We are seeking a highly motivated and scientifically rigorous Director of Biostatistics to our Medical Analytics and Exploratory Data Science Biostatistics group. This role will provide strategic and hands-on statistical leadership for exploratory data analyses, scientific publications, real-world evidence (RWE), post-marketing research, and health economics and outcomes research (HEOR) initiatives. The successful candidate will serve as a key statistical leader and individual contributor, partnering closely with cross-functional teams to generate high-quality evidence that advances our oncology pipeline and supports medical and scientific strategy.

  • Provide statistical leadership for exploratory data analyses using existing clinical trial data, real world data studies, post-marketing research, and HEOR projects.

  • Serve as a primary statistical contact for assigned projects, working collaboratively with clinical development, medical affairs, safety, statistical programming, regulatory affairs and commercial.

  • Lead the design, analysis, and interpretation of complex statistical models, including survival analysis, machine learning, and casual inference methodologies.

  • Contribute to and implement policies, standards, and procedures to ensure consistency and quality in statistical practices.

  • Manage relationships with external partners, such as contract research organizations (CROs), ensuring adherence to timelines, budgets, and quality standards.

  • Mentor and provide technical guidance to junior statisticians, fostering scientific rigor, innovation, and professional growth.

  • Contribute to regulatory and payers/HTA agencies interactions, scientific publications, abstracts, and internal decision-making through clear and effective communication of statistical results.

Required Skills, Experience and Education:

  • Ph.D. or M.S. in Statistics/Biostatistics, a minimum of 8 years (for Ph.D.) and 12 years (for M.S.) of experience in biotech/pharma industry as a statistician.

  • Solid knowledge of statistical methodologies for oncology, including survival analysis and causal inference.

  • Hands-on experience in exploratory analysis of oncology trials.

  • Proven ability to independently lead statistical aspects of complex, cross-functional projects.

  • Strong understanding of regulatory requirements related to biostatistical activities and clinical trials.

  • Excellent verbal and written communication skills are required.

  • Excellent interpersonal and project management skills are essential.

  • Proficiency in SAS and/or R.

Preferred Skills:

  • Knowledge of RWD and health economics and outcomes research (HEOR) in oncology is a plus.

  • Familiarity with machine learning or advanced modeling approaches applied to biomedical or observational data. 

    #LI-Hybrid  #LI-SH1

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