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Trainee Exploratory Data Analysis Jobs in California

AT&T

Lead Data Scientist

El Segundo, CA · On-site

Create relevant features and conduct exploratory data analysis. Codes solutions following typical workflow; data extraction, cleansing, feature engineering, exploratory data analysis, model selection ...

Covalent Corp.

Data Scientist

Sunnyvale, CA · On-site

$110K - $190K/yr

Key Responsibilities Design and implement exploratory data analyses, proof-of-concept tools, and applied machine learning solutions to address scientific, operational, and analytical problems.

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

Covalent

Data Scientist

Sunnyvale, CA · On-site

$110 - $190/hr

Key Responsibilities Design and implement exploratory data analyses, proof-of-concept tools, and applied machine learning solutions to address scientific, operational, and analytical problems.

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 ...

The Walt Disney Company

Lead Data Scientist

Glendale, CA · On-site

You will conduct exploratory data analysis, design and evaluate experiments, and define the success metrics used to judge model and product performance. You will partner closely with Machine Learning ...

New

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 ...

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Associate Director, Medical Analytics and Exploratory Data Science

Revolution Medicines

Redwood City, CA • Hybrid

$72K - $72K/yr

Full-time

Re-posted 25 days ago

Job description

The Opportunity:

We are seeking a highly capable Associate Director of Biostatistics to join our Medical Analytics and Exploratory Data Science Biostatistics group within our Biostatistics organization. This role will play a critical part in the design, analysis, and interpretation of exploratory data analyses, scientific publications, real-world evidence (RWE), post-marketing research, and health economics and outcomes research (HEOR) studies. The successful candidate will serve as a key statistical contributor and emerging leader, partnering closely with cross-functional teams to deliver high-quality, data-driven insights that support scientific understanding and evidence generation.

  • Lead statistical design, analysis, and interpretation for exploratory data analyses using existing clinical trial data, real world data studies, post-marketing research, and HEOR projects.

  • Partner closely with other subfunctions within quantitative sciences and with cross-functional teams, including clinical development, medical affairs, safety, statistical programming, regulatory affairs and commercial, to execute evidence generation plans.

  • Apply appropriate statistical methodologies, including survival analysis, machine learning, and casual inference approaches, to address complex scientific and medical questions in oncology.

  • Contribute to the development of analysis plans, technical specifications, and interpretation of results under general direction from senior statistical leadership.

  • Support cross-functional evidence generation planning by providing statistical input into study design, feasibility, and analysis strategies.

  • Review and oversee statistical deliverables produced by internal programmers or external vendors/contractors to ensure scientific quality and consistency with standards.

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

  • Assist with the preparation of scientific communications, including abstracts, manuscripts, posters, and internal presentations.

Required Skills, Experience and Education:

  • Ph.D. or M.S. in Statistics/Biostatistics, a minimum of 5 years (for Ph.D.) and 8 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.

  • Ability to work independently and within a team.

  • Ability to independently execute statistical analyses for moderately complex projects with guidance from senior statisticians.

  • Familiar with regulatory requirements related to biostatistical activities and clinical trials.

  • Strong verbal and written communication skills are required.

  • Strong 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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