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Senior Clinical Data Scientist Jobs

Data Scientist/Senior Data Scientist
By SLB At Menlo Park, CA, United States
Communicate complex ML concepts to management, clients, and the business
Demonstrate advanced working knowledge and experience with data analytics, machine
Works effectively with peers, management, operations groups, and outside
Maintain state-of-the-art knowledge and contribute to technical discussions and reviews
Actively disseminate knowledge via Webinars, talks and tutorials for the technical
Strong knowledge of latest Generative AI technologies, preferably Large Language
Senior Data Scientist, Pricing & Promotions
By Petco At Sacramento, CA, United States
Perform other related duties, tasks and responsibilities as required, assigned and directed.
Previous experience working with Machine Learning/Deep Learning for real world problems is a must
3+ years’ experience in business analytics and data science
Hands on experience with BI tools; Tableau /R shiny/Looker
Excellent quantitative modeling, statistical analysis skills and problem-solving skills.
Related experience in a retail organization is a strong plus
Data Scientist/Senior Data Scientist
By Federal Bureau of International Transportation At United States
Expertise in management of data requirements and use of data in relational databases using SQL
Collaborates with other analysts, project management, and leadership on coding, results execution, and ad hoc analysis
Ability to work independently in a matrix management structure as well as willingness to collaborate within a team
Maintains and creates database/computing requirements for efficient and rigorously controlled production
Bachelor's or higher degree in a quantitative field and demonstrated experience in data science (minimum of 3 years for senior)
Experience in open-source programing languages R (preferred) and/or Python including data processing, modeling, visualization, and documentation tools
Data Scientist, Clinical Analytics
By Spring Health At United States
Access to Gympass, an on-demand virtual benefit that provides wellbeing coaching, and budget management.
Experience with data visualization tools (e.g., Looker, Sisense) to create insightful and actionable dashboards and reports tailored to business needs
This may be the fastest work environment you will ever experience in terms of growth, decision-making, and time to impact
Change is a constant here: your role, team, responsibilities, and success metrics will shift as the company grows
You will experience transparency, integrity, & humility from leadership
Benefits Provided By Spring Health
Senior Manager Data Scientist
By Pfizer At Pearl River, NY, United States
Data analysis experience with heterogeneous data types and familiarity of big data, analytics and/or data mining environments in molecular sciences
5+ years of programming experience with one or more analytics tool (Python, SAS, R or SQL)
Demonstrated capabilities in analyzing heterogeneous datasets; Ability to identify trends, identify outliers and find patterns.
Demonstrated experience in accessing and analyzing research, clinical and/or safety data.
Strong verbal and written communication skills
2+ years data science experience using molecular data sets in biology and/or chemistry.
Senior Clinical Data Coordinator
By Atlas Search At United States
Minimum 3-5 years of experience in a pharmaceutical/CRO setting with at least 3-4 years of experience in Data Management.
Liaise closely with the Lead Data Manager to report study progress and any issues outstanding.
Assist the Lead Data Manager with the preparation of study documentation.
Assist the Lead Data Manager with the creation and validation of Manual and SAS checks.
Proficient knowledge of CDISC CDASH and SDTM terminology
Attend study update meetings or calls with the study sponsor as needed.
Data Scientist / Senior Data Scientist, Analytics
By DoorDash At Austin, TX, United States
4+ years of experience in data analytics, consulting, or related role
Experience working with funnel optimization, user segmentation, cohort analyses, time series analyses, regression models, etc
Please apply here for all non-managerial levels within the following analytics teams:
Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business
Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools
Work with and mentor junior analysts on how to use more advanced methods and solve challenges
Senior Data Scientist Jobs
By Tencent At , Palo Alto $118,200 - $216,700 a year

Work Mode: Onsite Responsibilities: 【About Level Infinite】 Level Infinite is a global gaming brand dedicated to delivering high-quality and engaging interactive entertainment ...

Senior Data Scientist Jobs
By Cargill At , Wayzata, 55391

Want to build a stronger, more sustainable future and cultivate your career? Join Cargill's global team of 160,000 employees who use new technologies, dynamic insights and over 157 years of experience ...

Senior Data Scientist Jobs
By Microsoft At , $112,000 - $218,400 a year
Partner closely with cross functional stakeholders to build and deliver world-class support and data insights experiences.
5+ years' experience driving execution with hyper-scale cloud engineering groups.
Professional PM certification, ESi, PMP, PMI, Prince 2 or equivalent.
Experience setting up, building and maintaining production data pipelines.
Experience with Data Cleansing and Normalization.
Experience starting large analytic projects and collaborating with teams across global and functions.
Senior Data Scientist Jobs
By Ally Financial At , Lewisville, 75067, Tx
Support data science projects such as customer segmentation, strategy optimization to advance servicing analytics and consumer asset management.
4+ Years of analytics experience, experience in loan-level predictive data mining for consumer finance industry preferred.
Experience with machine learning techniques and experimental design.
Experience with database programming tools (Python, SQL) required.
Ability to manage multiple projects and assignments.
Solid written and verbal communication skills, including the ability to effectively present data analytics results to internal and external stakeholders
Data Scientist/Senior Data Scientist
By Toyota At , Plano, 75024, Tx
Develop, manage, and deploy analytic solutions using software packages like Python, R, SAS, etc.
Advanced hands-on experience with tools such as Python (NumPy/Pandas/scikit-learn), R, and/or SAS.
Experience using a variety of statistical and machine-learning techniques to solve problems.
Experience programming in a CI/CD framework using GitHub and Cloud Computing Tools (preferably AWS).
Work collaboratively with team members.
Partner with the business to identify the most important questions that need to be answered about our customers and their value.
Principal Clinical Data Scientist
By Syneos Health Clinical At , Remote $109,711 - $175,700 a year
Strong project management skills and knowledge of project management methodologies
Experience in Clinical Data Science practices and relational database management software systems
Good organizational, planning, and time management skills with the ability to multitask under tight deadlines while providing attention to detail
Clinical Data Science experience or an equivalent combination of education and experience
Strong analytical skills and knowledge of Artificial intelligence /machine learning methodologies preferred
Knowledge of medical terminology, clinical data, and ICH/GCP regulatory requirements for clinical studies, in particular requirements applicable to Clinical Data Sciences
Senior Data Scientist Jobs
By University of Washington eScience Institute At Seattle, WA, United States
Experience with seeking extramural funding to support research, education and training programs.
Skills to communicate complex information in a clear and concise manner both verbally and in writing.
Previous experience in the University of Washington College of Engineering.
Experience engaging with highly technical researchers across a variety of methodological fields, research domains, and computational platforms.
Produce research products such as well-documented algorithms and code, software, and research publications.
Serve as the principal investigator (PI) or Co-PI on the projects funded by grants.
Senior Data Scientist-Retail Intelligence
By Walmart At Bentonville, AR, United States
Partner with Science Management and Strategy teams to identify, design, develop, and execute experiments to improve AI/ML products or services.
4+ years of experience in data science, machine learning, statistics to solve business problems.
Experience with data science and ML packages such as Do/why, scikit-learn, pandas, NumPy etc.,
Experience with Python, SQL, PySpark and cloud-based tools such as Big Query, Databricks
Guide AI/ML adoption and roll out strategy by communicating the results of experiments to key strategic leaders and multiple stakeholders.
Identify dimensions and designs of experiments and create test and learn frameworks.
Senior Data Scientist Jobs
By Verdagy At California, United States
Building and maintaining plant operations dashboards for scientists, engineers, and management
Strong mathematical and statistical modeling skills and experience
Gather requirements, define scope, and execute on new data-related projects
Substantial experience as a data scientist in industry
Substantial experience writing both analysis code and production-quality code in Python using Pandas and machine learning libraries
Bonus points if you have experience with electrolysis, industrial processes, PI software, or Seeq software
Senior Data Scientist Jobs
By Walgreens At Deerfield, IL, United States
Collaborates with finance, researchers, software developers, and business leaders to define product requirements and provide analytical support.
At least 4 years of experience working with large scale, complex datasets to create/optimize machine learning, predictive, forecasting, and/or optimization models.
Advanced experience in SQL, Python, PySPark or other languages.
Experience using decision trees, building classifiers.
Experience with Cloud ML platforms, distributed computing, data pipelines, cloud data stores and serving engine.
Experience designing and analyzing A/B experiments.
Clinical Data Scientist Jobs
By Ontada At United States
2+ years of experience in SAS and advanced SQL skills
Must have 4+ years of work experience in clinical data analysis
Experience in mining Claims and EMR data, preferably oncology related data
Foundational Experience in any cloud platform (ability to perform data analysis and build data transformation logic)
Strong interpersonal, oral and written communication skills
Healthcare consulting and oncology experience
Senior Data Scientist (Generative Ai)
By FraxCorp 🚀 At Palo Alto, CA, United States
Prior experience working with open-ended, user-generated content is highly beneficial
At least 5 years of experience at prominent chat, social media, or user-generated content product companies
Strong expertise in consumer products
Ability to intuitively identify the most relevant questions and swiftly derive key insights
Proficiency in translating findings into actionable next steps and collaborating with engineering teams for implementation
Thrives in a fast-paced environment and embraces rapid experimentation
Senior Data Scientist Jobs
By IT Trailblazers LLC At San Jose, CA, United States
·Proficient coding skills (Python/SQL) and database knowledge
Showcase Media Mix Modelling and its benefits to planning teams to create agency wide awareness.
·Expert knowledge on Time series Forecasting, Python Libraries
·6+ years of experience in MMM, measurement, A/B testing, marketing strategy & analytics
·Experience with advertising technology platforms Ad servers, DSPs, DMPs, etc.
Location San Jose, CA (Onsite)

Are you a Senior Clinical Data Scientist looking for an exciting new challenge? We are looking for a highly motivated individual to join our team and help us develop innovative solutions to improve patient care. You will have the opportunity to work with cutting-edge technologies and collaborate with a diverse team of experts. If you are passionate about data science and have a strong background in clinical research, this could be the perfect job for you!

Overview:

A Senior Clinical Data Scientist is a professional who specializes in collecting, analyzing, and interpreting data related to clinical research. They use their expertise to develop strategies and solutions to improve patient care, reduce costs, and increase efficiency. Senior Clinical Data Scientists are responsible for designing and implementing data-driven solutions to improve patient outcomes, reduce costs, and increase efficiency. They must have strong analytical and problem-solving skills, as well as a deep understanding of clinical research and data analysis. How To Become an Senior Clinical Data Scientist jobs ? To become a Senior Clinical Data Scientist, you will need to have a bachelor’s degree in a related field, such as computer science, mathematics, or statistics. You may also need to have experience in data analysis, programming, and software development. Additionally, you will need to have strong communication and problem-solving skills. Senior Clinical Data Scientist Skills requied For Your Resume And Career?
• Data Analysis
• Programming
• Software Development
• Statistical Analysis
• Database Management
• Project Management
• Problem-Solving
• Communication
• Research
• Data Visualization
Senior Clinical Data Scientist Knowledge For Your Resume And Career?
• Clinical research
• Data analysis
• Statistical methods
• Data mining
• Machine learning
• Database management
• Data visualization
• Project management
• Regulatory compliance
Senior Clinical Data Scientist Responsibilities For Your Resume And Career?
• Design and implement data-driven solutions to improve patient outcomes, reduce costs, and increase efficiency.
• Analyze and interpret clinical data to identify trends and patterns.
• Develop and maintain databases to store and manage clinical data.
• Create data visualizations to communicate results to stakeholders.
• Develop and implement strategies to improve data quality.
• Monitor regulatory compliance and ensure data accuracy.
• Collaborate with other departments to ensure data accuracy and integrity.
Senior Clinical Data Scientist Experience For Your Resume And Career?
• Experience in data analysis, programming, and software development.
• Experience with clinical research and data analysis.
• Experience with database management and data visualization.
• Experience with statistical methods and machine learning.
• Experience with project management and regulatory compliance.
Senior Clinical Data Scientist Qualifications For Your Resume And Career?
• Bachelor’s degree in a related field, such as computer science, mathematics, or statistics.
• Strong analytical and problem-solving skills.
• Deep understanding of clinical research and data analysis.
• Excellent communication and interpersonal skills.
• Ability to work independently and as part of a team.
Senior Clinical Data Scientist Educations For Your Resume And Career?
• Bachelor’s degree in a related field, such as computer science, mathematics, or statistics.
• Master’s degree in a related field, such as data science, analytics, or biomedical informatics.
• Professional certifications in data science, analytics, or biomedical informatics.
What tools help Senior Clinical Data Scientist work better?
• Statistical software such as SAS, SPSS, or R.
• Database management software such as MySQL or Oracle.
• Data visualization software such as Tableau or Power BI.
• Machine learning and artificial intelligence tools.
• Project management software such as JIRA or Trello.
Good tips to help Senior Clinical Data Scientist do more effectively?
• Stay up to date on the latest trends in clinical research and data analysis.
• Develop strong communication and interpersonal skills.
• Utilize data visualization tools to communicate results to stakeholders.
• Develop an understanding of regulatory compliance and data accuracy.
• Collaborate with other departments to ensure data accuracy and integrity.
• Develop problem-solving and analytical skills.
• Utilize machine learning and artificial intelligence tools.