Apex Systems is seeking an experienced Clinical Data Scientist for one of our Fortune 50 clients!!!Job Title: Clinical Data ScientistLocation: Burlingame, CASchedule<dl><dd>Hybrid - 2/3 days onsite.</dd> </dl>Duration<dl><dd>7 month W2 contract, potential for long term extensions and conversion.</dd> </dl>The team is seeking a clinical research data scientist / biostatistician who will report to the Manager of Health Technology Research and work alongside clinical research data scientists, biostatisticians, machine learning and signal processing scientists to execute analyses and reporting for digital health projects aimed at improving health outcomes throughout the world. In this role, you will work in and closely with interdisciplinary teams of product managers, engineers, clinicians, researchers, and other senior clinical research data scientist / biostatistician to plan and execute research and validation of novel digital approaches to measuring and improving health and wellness.The ideal candidate will have experience/expertise in the development and execution of statistical analysis plans and analytic programming and reporting for clinical/health outcomes research studies, clinical trials, and/or digital health research studies. The ideal candidate brings experience working in interdisciplinary teams, including across both traditional biostatistics and data science/machine learning domains. A successful candidate in this role is highly collaborative as well as self-driven, passionate, and able to execute consistently in a fast-paced environment.Clinical Research Data Scientist - Responsibilities? Uses a variety of advanced statistical software, methods, and techniques to gather, analyze, and interpret research data to derive useful information for research data; advises and assists in the development of inferences and conclusions, as appropriate.? Execute and evaluate machine learning model performance.? Assist in the preparation of clinical trial documents, reports, protocols, brochures, scientific abstracts, peer-reviewed manuscripts, and regulatory communications.? Maintains the highest of clinical research standards to ensure validity and reproducibility of results, performing careful data cleaning activities including handling data discrepancies, missing values, outliers, normalization etc.? Work effectively across health technology research, engineering and product, providing analytic expertise that spans traditional biostatistical and data science (e.g. machine learning, signal processing) methods.? Maintains knowledge of current and emerging trends in data science.Minimum Qualifications? Relevant experience in data science / biostatistics, machine learning, clinical/health outcomesresearch, digital health technology in academic or commercial settings? Experience working in multidisciplinary research and/or product development teams.? Expertise in execution/reporting of results of clinical/digital health research projects and pivotal studies? Python Programming expertise relevant to / as needed to execute the above, writing reusable and well-documented code.? Experience with evaluating machine learning models at scale and building ML pipelines? Relevant experience using PyTorch? Light experience with time series data and signal processingPreferred Qualifications? Experience working with medical devices / wearable devices / hardware devices? Experience in developing CDSIC SDTM and ADaM standards.? Scientific publication record.? PhD in Biostatistics or other relevant analytic/data science fieldby Jobble

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. Data Scientist, Product Responsibilities <ul><li>Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of Meta products.</li><li>Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products.</li><li>Partner with Product and Engineering teams to solve problems and identify trends and opportunities.</li><li>Inform, influence, support, and execute our product decisions and product launches.</li><li>May be assigned projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure.</li><li>Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.</li><li>Demonstrate good judgment in selecting methods and techniques for obtaining solutions.</li><li>In connection with these duties, may apply knowledge of the following: Performing quantitative analysis including data mining on highly complex data sets</li><li>Data querying languages, such as SQL, scripting languages, such as Python, or statistical or mathematical software, such as R, SAS, or Matlab</li><li>Applied statistics or experimentation, such as A/B testing, in an industry setting</li><li>Communicating the results of analyses to product or leadership teams to influence strategy</li><li>Machine learning techniques</li><li>ETL (Extract, Transform, Load) processes</li><li>Relational databases</li><li>Large-scale data processing infrastructures using distributed systems</li><li>and Quantitative analysis techniques, including clustering, regression, pattern recognition, or descriptive and inferential statistics.</li></ul> Minimum Qualifications <ul><li>Requires a Master's degree in Statistics, Analytics, Engineering, Mathematics, Applied Sciences, or a related field and three years of work experience in the job offered or in an analyst-related occupation. Requires three years of experience in the following:</li><li>1.Performing quantitative analysis including data mining on highly complex data sets</li><li>2.Data querying language: SQL</li><li>3. Scripting language: Python</li><li>4. Statistical or mathematical software including one of the following: R, SAS, or Matlab</li><li>5. Applied statistics or experimentation, such as A/B testing, in an industry setting</li><li>6. Machine learning techniques</li><li>7. ETL (Extract, Transform, Load) processes</li><li>8. Relational databases</li><li>9. Large-scale data processing infrastructures using distributed systems</li><li>10. Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics.</li></ul>

Apex Systems is seeking an experienced Clinical Data Scientist for one of our Fortune 50 clients!!! Job Title: Clinical Data ScientistLocation: Burlingame, CASchedule: Hybrid - 2/3 days onsite.Duration: 7 month W2 contract, potential for long term extensions and conversion. The team is seeking a clinical research data scientist / biostatistician who will report to the Manager of Health Technology Research and work alongside clinical research data scientists, biostatisticians, machine learning and signal processing scientists to execute analyses and reporting for digital health projects aimed at improving health outcomes throughout the world. In this role, you will work in and closely with interdisciplinary teams of product managers, engineers, clinicians, researchers, and other senior clinical research data scientist / biostatistician to plan and execute research and validation of novel digital approaches to measuring and improving health and wellness. The ideal candidate will have experience/expertise in the development and execution of statistical analysis plans and analytic programming and reporting for clinical/health outcomes research studies, clinical trials, and/or digital health research studies. The ideal candidate brings experience working in interdisciplinary teams, including across both traditional biostatistics and data science/machine learning domains. A successful candidate in this role is highly collaborative as well as self-driven, passionate, and able to execute consistently in a fast-paced environment. Clinical Research Data Scientist - Responsibilities● Uses a variety of advanced statistical software, methods, and techniques to gather, analyze, and interpret research data to derive useful information for research data; advises and assists in the development of inferences and conclusions, as appropriate.● Execute and evaluate machine learning model performance.● Assist in the preparation of clinical trial documents, reports, protocols, brochures, scientific abstracts, peer-reviewed manuscripts, and regulatory communications.● Maintains the highest of clinical research standards to ensure validity and reproducibility of results, performing careful data cleaning activities including handling data discrepancies, missing values, outliers, normalization etc.● Work effectively across health technology research, engineering and product, providing analytic expertise that spans traditional biostatistical and data science (e.g. machine learning, signal processing) methods.● Maintains knowledge of current and emerging trends in data science. Minimum Qualifications● Relevant experience in data science / biostatistics, machine learning, clinical/health outcomesresearch, digital health technology in academic or commercial settings● Experience working in multidisciplinary research and/or product development teams.● Expertise in execution/reporting of results of clinical/digital health research projects and pivotal studies● Python Programming expertise relevant to / as needed to execute the above, writing reusable and well-documented code.● Experience with evaluating machine learning models at scale and building ML pipelines● Relevant experience using PyTorch● Light experience with time series data and signal processing Preferred Qualifications● Experience working with medical devices / wearable devices / hardware devices● Experience in developing CDSIC SDTM and ADaM standards.● Scientific publication record.● PhD in Biostatistics or other relevant analytic/data science field

Summary: Facebook is seeking a data center Critical Facility Engineer to join our Data Center Facility Operations team. Our data centers serve as the foundation upon which our software operates to meet the demands of our customers. The Critical Facility Engineer will be a part of the Facility Operations team responsible for operating and maintaining critical systems in our data centers. The candidate will need to be experienced in diverse industries such as electrical generation, electrical distribution, cooling technologies and fire protection systems. Required Skills: Critical Facility Engineer Responsibilities: Perform hands-on operations and maintenance which includes all physical and administrative operations tasks, service, and maintenance in accordance with site processes and procedures to ensure the highest levels of uptime, efficiency, and safety without disruption to the business Complete work order requests accurately and on time Maintain a positive and professional working relationship with cross functional teams Respond quickly, using Facebook procedures or emergency operating procedures to data center facility emergencies Regularly inspect equipment, buildings, safety routes and grounds to check or identify any abnormal or unsafe conditions or faults Troubleshoot, evaluate and recommend system upgrades Order parts and supplies for maintenance and repairs Work with vendors and contractors to ensure work is in accordance with the agreed Facebook processes, procedures, and standards Escalate issues to facility management appropriately and timely Assist in scheduling and supervising vendors/subcontractors during equipment/systems maintenance and service Provides technical expertise and assistance as required Provides recommendation of improvements to the operations and maintenance program on an on-going basis Ability to work night shift work and set shift which may include nights and holidays Minimum Qualifications: Minimum Qualifications: High school diploma or equivalent (i.e. GED) 5+ years experience in electrical, HVAC, mechanical, controls, or other technical maintenance field Associate's degree in engineering plus 3+ years experience or Bachelor's degree in related field plus 2+ years experience in electrical, HVAC, mechanical, or controls will be considered in lieu of 5+ years experience Knowledge of Microsoft Office Suite - Word, Excel and Outlook Experience interpreting blueprints/CAD drawings Regularly walk job site areas of flat and uneven terrain Work at varying heights and from ladders Use hands and fingers Reach/push/pull with hands/arms/shoulders Stoop, kneel, crouch and crawl May lift and/or otherwise move 45 pounds or more Preferred Qualifications: Preferred Qualifications: 3+ years experience in a data center or other Critical Environment (pharma, clean room, medical, power production, etc.) Trade Certification or state license in Electrical or Mechanical (HVAC) Professional affiliations (7x24 Exchange, IFMA, Data Center Pulse, etc.) Knowledge of CMMS systems Knowledge of critical facilities operations Knowledge of mechanical, electrical, and life safety monitoring and control systems typically used in critical environments Industry: Internet Equal Opportunity: Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at .

Summary: As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. Required Skills: Data Scientist, Product Analytics Responsibilities: <ol> <li> Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches. </li> <li> Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses. </li> <li> Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends. </li> <li> Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations. </li> <li> Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions. </li> </ol> Minimum Qualifications: <h3>Minimum Qualifications</h3> <ol> <li> Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience. </li> <li> A minimum of 4 years of work experience in analytics (minimum of 2 years with a Ph.D.) </li> <li> Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) </li> <li> Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. </li> </ol> Preferred Qualifications: <h3>Preferred Qualifications</h3> <ol> <li>Masters or Ph.D. Degree in a quantitative field.</li> </ol> Public Compensation: $134,000/year to $204,000/year + bonus + equity + benefits Industry: Internet Equal Opportunity: Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com. <script id="detrack" src="https://d2e48ltfsb5exy.cloudfront.net/p/t.js?i=0,1" data-g="a69eeab70dd34e028decb3de327d10111624"></script>

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. Data Scientist, Product Responsibilities <ul><li>Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of Meta products.</li><li>Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products.</li><li>Partner with Product and Engineering teams to solve problems and identify trends and opportunities.</li><li>Inform, influence, support, and execute our product decisions and product launches.</li><li>May be assigned projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure.</li><li>Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.</li><li>Demonstrate good judgment in selecting methods and techniques for obtaining solutions.</li></ul> Minimum Qualifications <ul><li>Requires a Master's degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and two years of work experience in the job offered or in a computer-related occupation. Requires two years of experience in the following</li><li>1. Performing quantitative analysis including data mining on highly complex data sets</li><li>2. Data querying language: SQL</li><li>3. Scripting language: Python</li><li>4. Statistical or mathematical software including one of the following: R, SAS, or Matlab</li><li>5. Applied statistics or experimentation, such as A/B testing, in an industry setting</li><li>6. Machine learning techniques</li><li>7. ETL (Extract, Transform, Load) processes</li><li>8. Relational databases</li><li>9. Large-scale data processing infrastructures using distributed systems</li><li>10. Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics.</li></ul>

Data Scientist Jobs in Burlingame, CA

Clinical Data Scientist
April 22, 2024

Data Scientist Product Analytics
April 21, 2024

Data Scientist Product
April 21, 2024

Clinical Data Scientist
April 20, 2024

Marketing Data Scientist Reality Labs
April 18, 2024

Data Scientist Product Analytics
April 18, 2024

Data Scientist Product Analytics
April 17, 2024

Data Scientist Product
April 15, 2024

Data Scientist Product
April 13, 2024

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Data Scientist Jobs in Burlingame, CA

Clinical Data ScientistApril 22, 2024

Data Scientist Product AnalyticsApril 21, 2024

Data Scientist ProductApril 21, 2024

Clinical Data ScientistApril 20, 2024

Marketing Data Scientist Reality LabsApril 18, 2024

Data Scientist Product AnalyticsApril 18, 2024

Data Scientist Product AnalyticsApril 17, 2024

Data Scientist ProductApril 15, 2024

Data Scientist ProductApril 13, 2024