Title : Sr. Director, Data Scientist @ Deerfield , ILTerms of Hire: Full Time.Salary: $ Open/yr + Benefits.Role Description:Oversees a team that provides decision science and digital analytics leadership across multiple organizations within Client, delivering best in class data insights to the business.Provides leadership to enterprise to deliver data-driven solutions to complex problems with very high levels of ambiguity using both structured and unstructured data across the enterprise.Job Responsibilities Guide and mentor a team of data scientist to use a wide range data science technique for descriptive, diagnostic, predictive, and prescriptive analyses.Sets the vision for manipulation and analyses of large and complex data sets.Distill the complexities of digital analytics (tagging, data, reporting) into layman terms, providing impactful visualizations, actionable insights, and test/optimization opportunities.Lead the team in leveraging machine learning and Artificial Intelligence technologies to drive real time customer centric decision making .Provide analytical support and customer insights and science to new mass personalization programs lead team providing the scientific backbone and foundation for the engine that will drive this targeted marketing approach?.Build out a world class data science team that is aligned to support Client as key business function for data across all categories with a lens for the customer?.Provide thought leadership to support the key initiatives of Mass personalization, My Client, Covid vaccine and cross target strategies with ML and AI techniques.Experience with both digital campaign performance and site performance and optimization (including Paid Media/SEM and SEO methods), as well as foundation knowledge of media platforms and reporting tools (Campaign Manager, Google Ads, Microsoft Ads, social platforms, etc.).Extensive experience in guiding the decision on leading edge technical / business approaches and/or develops major new technical tools.Facilitates communication between executives, staff, management, vendors, and other technology resources within and outside of the organization. Shares highly complex information related to areas of expertise. Interacts with senior management to keep abreast of objectives. Interacts with direct reports and peers in management / customers / vendors to interpret information and improve cross-functional processes and programs. Builds and enhances key internal and external contacts.What are the 3-4 non-negotiable requirements of this position? Deep knowledge of open-source data science and statistics packages such as Python, R, Spark, etc. Experience in data science, advanced analytics, or statistics. Ability to interrogate data, perform analyses, interpret data, and present to business audiences. Deep knowledge of SQL. At least 6 years of experience in direct leadership, indirect leadership and/or cross-functional team leadership.What are the nice-to-have skills? Advanced degree in a quantitative, computational, or technical discipline and at least 6 years of experience in quantitative or computational functions. Master's degree or Ph.D. in a highly quantitative field (e.g., Statistics, Math, Operations Research, Physics, etc.). At least 12 years experience leading data science technical efforts/teams. Experience establishing and maintaining key relationships with internal (peers, business partners and leadership) and external (business community, clients, and vendors) within a matrix organization to develop strategies that meet department goals within budget and timelines.You Will Enjoy: An opportunity to be a part of a great culture, an awesome team, a challenging work environment, and some fun along the way!Apply today to learn more and be part of our Growth story.All applications will be kept strictly confidential and once shortlisted, our team will be in touch with you for further discussions.Department: ScoutThis is a full time positionPersonal Information * First name* Last name* EmailAddressCityStateZip code* Phone numberAttachments * Attach your Resume Attach Dropbox Paste Attach a Cover letter Attach Dropbox Other Information How did you hear about this position? * Your Legal Work Authorization in the US? * Are you currently employed? * if Hired when will you be able to start? * What is your desired salary/hourly rate? * If on valid work authorization visa, are you associated with any employer for your new assignment? If yes, please give employer details? * What is your motivation for Change/New Job Opportunity? * If Currently working, what is your Notice period?#J-18808-Ljbffr

Job Summary: The Data Scientist RWE will be responsible for generating Real-World Evidence (RWE) through advanced analytics and innovative approaches in the clinical trials space. The data scientist will be integral part of the Scientific Affairs team The candidate should have a strong desire to influence internal and external decision making through the application of innovative data science and technology. In this role, you will conduct sophisticated data analysis to help address critical business questions. This role reports to Director, Clinical Data Science Job Responsibilities: Conducts due diligence on new real world data providers vendors and drive RWD quality assessments to inform investment decisions
Mine raw data sets to deliver standardized, analysis ready patient cohorts from in house data assets or online licensed platforms .
Partners with other members of the Walgreens Clinical Trial team to deliver actionable insights from real world, clinical and other data sources to support biopharmaceutical RWE and clinical trial requests.
Cleans, transforms and stores data into an integrated data lake for future analysis and broader team consumption
Performs data mining and statistical analysis to analyze to find new insights regarding patient populations and treatment outcomes
Supports the development of real-world data, analytics and platform capabilities, applying cutting edge advanced analytics methodologies and tools to address scientific questions from biopharmaceutical companies
Collaborates on design and execution of outcomes research studies from a data science and analytics perspective
Ensures high quality, rigorous and readily interpretable deliverables from RWE Studies analyses
Builds dashboards, analytics and reports for internal and external consumption About Walgreens
Founded in 1901, Walgreens (www.walgreens.com) has a storied heritage of caring for communities for generations, and proudly serves nearly 9 million customers and patients each day across its approximately 8,500 stores throughout the U.S. and Puerto Rico, and leading omni-channel platforms. Walgreens has approximately 220,000 team members, including nearly 90,000 healthcare service providers, and is committed to being the first choice for retail pharmacy and health services, building trusted relationships that create healthier futures for customers, patients, team members and communities.
Walgreens is the flagship U.S. brand of Walgreens Boots Alliance, Inc. (Nasdaq: WBA), an integrated healthcare, pharmacy and retail leader. Its retail locations are a critical point of access and convenience in thousands of communities, with Walgreens pharmacists playing a greater role as part of the healthcare system and patients care teams than ever before. Walgreens Specialty Pharmacy provides critical care and pharmacy services to millions of patients with rare disease states and complex, chronic conditions.
The actual salary an employee can expect to receive, plus bonus pursuant to the terms of any bonus plan if applicable, will depend on experience, seniority, geographic location, and other factors permitted by law. To review benefits, please visit jobs.walgreens.com/benefits.
"An Equal Opportunity Employer, including disability/veterans". #LI-AJ1 Basic Qualifications
Bachelors Degree and at least 4 years of experience in quantitative or computational functions OR High School/GED and at least 7 years of experience in quantitative or computational or technical discipline
Bachelor's degree or graduate degree in a quantitative, computational or technical discipline
Analytics experience in R, Python, SQL.
Experience in designing and executing robust and reproducible statistical analyses in the context of epidemiology and observational research with healthcare data
Knowledge of common statistical testing techniques including generalized linear models, classification and discrimination, decision trees, unsupervised learning, time series analysis and survival analysis
Experience processing large data from various data sources
Experience handling of protected patient health information
Knowledge of at least one of the following: Tableau, Power Bi, Alteryx, Spotfire, or other BI intelligence tools
Willing to travel up to 10% of the time for business purposes (within state and out of state). Preferred Qualifications
PhD, Masters degree in, statistics/biostatistics, computer science, mathematics, systems engineering, biomedical engineering or related field
Expertise in EMR/Health IT, disease registries, and insurance claims databases
Expertise in clinical data standards, medical terminologies and controlled vocabularies used in healthcare data and ontologies (ICD9/10/ReadCode)
Experience in Good Clinical Practice (GCP) and/or regulatory compliance guidelines for real-world evidence studies or clinical trials (e.g., ISO, MDD/MDR, CFR)
Experience working on alternative data sources and alternative methods of clinical data collection, especially those enabled by technology platforms and/or solutions.
Experience with experimental design, Bayesian modeling, sequential data, computational statistics
Understanding of statistics and machine learning methods, ability to continue self learning of technical and non technical skills
We will consider employment of qualified applicants with arrest and conviction records.
An employee in this position can expect a salary rate between $95,600 and $244,800 plus bonus pursuant to the terms of any bonus plan if applicable. The actual salary will depend on experience, seniority, geographic location, and other factors permitted by law. This job posting will remain open for a minimum of two weeks from the job posting date. To review benefits, please click here jobs.walgreens.com/benefits . If you are applying on a job board or unable to click on the link, please copy and paste this URL into your browser jobs.walgreens.com/benefits.

Job Summary: The Data Scientist RWE will be responsible for generating Real-World Evidence (RWE) through advanced analytics and innovative approaches in the clinical trials space. The data scientist will be integral part of the Scientific Affairs team The candidate should have a strong desire to influence internal and external decision making through the application of innovative data science and technology. In this role, you will conduct sophisticated data analysis to help address critical business questions. This role reports to Director, Clinical Data Science Job Responsibilities:<ul><li>Conducts due diligence on new real world data providers vendors and drive RWD quality assessments to inform investment decisions</li><li>Mine raw data sets to deliver standardized, analysis ready patient cohorts from in house data assets or online licensed platforms<s>.</s></li><li>Partners with other members of the Walgreens Clinical Trial team to deliver actionable insights from real world, clinical and other data sources to support biopharmaceutical RWE and clinical trial requests. </li><li>Cleans, transforms and stores data into an integrated data lake for future analysis and broader team consumption</li><li>Performs data mining and statistical analysis to analyze to find new insights regarding patient populations and treatment outcomes</li><li>Supports the development of real-world data, analytics and platform capabilities, applying cutting edge advanced analytics methodologies and tools to address scientific questions from biopharmaceutical companies</li><li>Collaborates on design and execution of outcomes research studies from a data science and analytics perspective</li><li>Ensures high quality, rigorous and readily interpretable deliverables from RWE Studies analyses</li><li>Builds dashboards, analytics and reports for internal and external consumption</li></ul> About Walgreens Founded in 1901, Walgreens (www.walgreens.com) has a storied heritage of caring for communities for generations, and proudly serves nearly 9 million customers and patients each day across its approximately 8,500 stores throughout the U.S. and Puerto Rico, and leading omni-channel platforms. Walgreens has approximately 220,000 team members, including nearly 90,000 healthcare service providers, and is committed to being the first choice for retail pharmacy and health services, building trusted relationships that create healthier futures for customers, patients, team members and communities. Walgreens is the flagship U.S. brand of Walgreens Boots Alliance, Inc. (Nasdaq: WBA), an integrated healthcare, pharmacy and retail leader. Its retail locations are a critical point of access and convenience in thousands of communities, with Walgreens pharmacists playing a greater role as part of the healthcare system and patients care teams than ever before. Walgreens Specialty Pharmacy provides critical care and pharmacy services to millions of patients with rare disease states and complex, chronic conditions. The actual salary an employee can expect to receive, plus bonus pursuant to the terms of any bonus plan if applicable, will depend on experience, seniority, geographic location, and other factors permitted by law. To review benefits, please visit jobs.walgreens.com/benefits. "An Equal Opportunity Employer, including disability/veterans". #LI-AJ1 Basic Qualifications <ul><li>Bachelors Degree and at least 4 years of experience in quantitative or computational functions OR High School/GED and at least 7 years of experience in quantitative or computational or technical discipline</li><li>Bachelor's degree or graduate degree in a quantitative, computational or technical discipline</li><li>Analytics experience in R, Python, SQL.</li><li>Experience in designing and executing robust and reproducible statistical analyses in the context of epidemiology and observational research with healthcare data</li><li>Knowledge of common statistical testing techniques including generalized linear models, classification and discrimination, decision trees, unsupervised learning, time series analysis and survival analysis</li><li>Experience processing large data from various data sources</li><li>Experience handling of protected patient health information</li><li>Knowledge of at least one of the following: Tableau, Power Bi, Alteryx, Spotfire, or other BI intelligence tools</li><li>Willing to travel up to 10% of the time for business purposes (within state and out of state).</li></ul> Preferred Qualifications <ul><li>PhD, Masters degree in, statistics/biostatistics, computer science, mathematics, systems engineering, biomedical engineering or related field</li><li>Expertise in EMR/Health IT, disease registries, and insurance claims databases</li><li>Expertise in clinical data standards, medical terminologies and controlled vocabularies used in healthcare data and ontologies (ICD9/10/ReadCode)</li><li>Experience in Good Clinical Practice (GCP) and/or regulatory compliance guidelines for real-world evidence studies or clinical trials (e.g., ISO, MDD/MDR, CFR)</li><li>Experience working on alternative data sources and alternative methods of clinical data collection, especially those enabled by technology platforms and/or solutions.</li><li>Experience with experimental design, Bayesian modeling, sequential data, computational statistics</li><li>Understanding of statistics and machine learning methods, ability to continue self learning of technical and non technical skills</li><li>We will consider employment of qualified applicants with arrest and conviction records.</li></ul>An employee in this position can expect a salary rate between $95,600 and $244,800 plus bonus pursuant to the terms of any bonus plan if applicable. The actual salary will depend on experience, seniority, geographic location, and other factors permitted by law. This job posting will remain open for a minimum of two weeks from the job posting date. To review benefits, please click here <a data-auth="NotApplicable" data-linkindex="1" href="https://jobs.walgreens.com/benefits" rel="noopener noreferrer" target="_blank" title="https://jobs.walgreens.com/benefits">jobs.walgreens.com/benefits</a>. If you are applying on a job board or unable to click on the link, please copy and paste this URL into your browser jobs.walgreens.com/benefits.

Job Description:

Job Summary:

The Data Scientist – RWE will be responsible for generating Real-World Evidence (RWE) through advanced analytics and innovative approaches in the clinical trials space. The data scientist will be integral part of the Scientific Affairs team The candidate should have a strong desire to influence internal and external decision making through the application of innovative data science and technology. In this role, you will conduct sophisticated data analysis to help address critical business questions. This role reports to Director, Clinical Data Science

Job Responsibilities:

Conducts due diligence on new real world data providers vendors and drive RWD quality assessments to inform investment decisions

Mine raw data sets to deliver standardized, analysis ready patient cohorts from in house data assets or online licensed platforms.

Partners with other members of the Walgreens Clinical Trial team to deliver actionable insights from real world, clinical and other data sources to support biopharmaceutical RWE and clinical trial requests.

Cleans, transforms and stores data into an integrated data lake for future analysis and broader team consumption

Performs data mining and statistical analysis to analyze to find new insights regarding patient populations and treatment outcomes

Supports the development of real-world data, analytics and platform capabilities, applying cutting edge advanced analytics methodologies and tools to address scientific questions from biopharmaceutical companies

Collaborates on design and execution of outcomes research studies from a data science and analytics perspective

Ensures high quality, rigorous and readily interpretable deliverables from RWE Studies analyses

Builds dashboards, analytics and reports for internal and external consumption

About Walgreens

Founded in 1901, Walgreens (www.walgreens.com) has a storied heritage of caring for communities for generations, and proudly serves nearly 9 million customers and patients each day across its approximately 8,500 stores throughout the U.S. and Puerto Rico, and leading omni-channel platforms. Walgreens has approximately 220,000 team members, including nearly 90,000 healthcare service providers, and is committed to being the first choice for retail pharmacy and health services, building trusted relationships that create healthier futures for customers, patients, team members and communities.

Walgreens is the flagship U.S. brand of Walgreens Boots Alliance, Inc. (Nasdaq: WBA), an integrated healthcare, pharmacy and retail leader. Its retail locations are a critical point of access and convenience in thousands of communities, with Walgreens pharmacists playing a greater role as part of the healthcare system and patients’ care teams than ever before. Walgreens Specialty Pharmacy provides critical care and pharmacy services to millions of patients with rare disease states and complex, chronic conditions.

The actual salary an employee can expect to receive, plus bonus pursuant to the terms of any bonus plan if applicable, will depend on experience, seniority, geographic location, and other factors permitted by law. To review benefits, please visit jobs.walgreens.com/benefits.

"An Equal Opportunity Employer, including disability/veterans".

#LI-AJ1

Job ID: 1479406BR

Title: Data Scientist, RWE Clinical Trials - Remote

Company Indicator: Walgreens

Employment Type:

Job Function: Marketing

Full Store Address: 108 WILMOT ROAD,DEERFIELD,IL 60015

Full District Office Address: 108 WILMOT ROAD,DEERFIELD,IL,60015-05108-00001-Y

External Basic Qualifications:

Bachelor’s Degree and at least 4 years of experience in quantitative or computational functions OR High School/GED and at least 7 years of experience in quantitative or computational or technical discipline

Bachelor's degree or graduate degree in a quantitative, computational or technical discipline

Analytics experience in R, Python, SQL.

Experience in designing and executing robust and reproducible statistical analyses in the context of epidemiology and observational research with healthcare data

Knowledge of common statistical testing techniques including generalized linear models, classification and discrimination, decision trees, unsupervised learning, time series analysis and survival analysis

Experience processing large data from various data sources

Experience handling of protected patient health information

Knowledge of at least one of the following: Tableau, Power Bi, Alteryx, Spotfire, or other BI intelligence tools

Willing to travel up to 10% of the time for business purposes (within state and out of state).

Preferred Qualifications:

PhD, Master’s degree in, statistics/biostatistics, computer science, mathematics, systems engineering, biomedical engineering or related field

Expertise in EMR/Health IT, disease registries, and insurance claims databases

Expertise in clinical data standards, medical terminologies and controlled vocabularies used in healthcare data and ontologies (ICD9/10/ReadCode)

Experience in Good Clinical Practice (GCP) and/or regulatory compliance guidelines for real-world evidence studies or clinical trials (e.g., ISO, MDD/MDR, CFR)

Experience working on alternative data sources and alternative methods of clinical data collection, especially those enabled by technology platforms and/or solutions.

Experience with experimental design, Bayesian modeling, sequential data, computational statistics

Understanding of statistics and machine learning methods, ability to continue self learning of technical and non technical skills

We will consider employment of qualified applicants with arrest and conviction records.

An employee in this position can expect a salary rate between $95,600 and $244,800 plus bonus pursuant to the terms of any bonus plan if applicable. The actual salary will depend on experience, seniority, geographic location, and other factors permitted by law. This job posting will remain open for a minimum of two weeks from the job posting date. To review benefits, please click here jobs.walgreens.com/benefits . If you are applying on a job board or unable to click on the link, please copy and paste this URL into your browser jobs.walgreens.com/benefits.

Shift:

Store:

Title : Sr. Director, Data Scientist @ Deerfield ,  IL Terms of Hire: Full Time. Salary:  $ Open / yr + Benefits. Role Description: Oversees a team that provides decision science and digital analytics leadership across multiple organizations within Client, delivering best in class data insights to the business. Provides leadership to enterprise to deliver data-driven solutions to complex problems with very high levels of ambiguity using both structured and unstructured data across the enterprise. Job Responsibilities <ul><li> Guide and mentor a team of data scientist to use a wide range data science technique for descriptive, diagnostic, predictive, and prescriptive analyses. </li><li> Sets the vision for manipulation and analyses of large and complex data sets. </li><li> Distill the complexities of digital analytics (tagging, data, reporting) into layman terms, providing impactful visualizations, actionable insights, and test/optimization opportunities. </li><li> Lead the team in leveraging machine learning and Artificial Intelligence technologies to drive real time customer centric decision making . </li><li> Provide analytical support and customer insights and science to new mass personalization programs – lead team providing the scientific backbone and foundation for the engine that will drive this targeted marketing approach?. </li><li> Build out a world class data science team that is aligned to support Client as key business function for data across all categories with a lens for the customer?. </li><li> Provide thought leadership to support the key initiatives of Mass personalization, My Client, Covid vaccine and cross target strategies with ML and AI techniques. </li><li> Experience with both digital campaign performance and site performance and optimization (including Paid Media/SEM and SEO methods), as well as foundation knowledge of media platforms and reporting tools (Campaign Manager, Google Ads, Microsoft Ads, social platforms, etc.). </li><li> Extensive experience in guiding the decision on leading edge technical / business approaches and/or develops major new technical tools. </li><li> Facilitates communication between executives, staff, management, vendors, and other technology resources within and outside of the organization. Shares highly complex information related to areas of expertise. Interacts with senior management to keep abreast of objectives. Interacts with direct reports and peers in management / customers / vendors to interpret information and improve cross-functional processes and programs. Builds and enhances key internal and external contacts. </li> </ul> What are the 3-4 non-negotiable requirements of this position? <ul><li> Deep knowledge of open-source data science and statistics packages such as Python, R, Spark, etc. Experience in data science, advanced analytics, or statistics. Ability to interrogate data, perform analyses, interpret data, and present to business audiences. Deep knowledge of SQL. At least 6 years of experience in direct leadership, indirect leadership and/or cross-functional team leadership. </li> </ul> What are the nice-to-have skills? <ul><li> Advanced degree in a quantitative, computational, or technical discipline and at least 6 years of experience in quantitative or computational functions. Master's degree or Ph.D. in a highly quantitative field (e.g., Statistics, Math, Operations Research, Physics, etc.). At least 12 years’ experience leading data science technical efforts/teams. Experience establishing and maintaining key relationships with internal (peers, business partners and leadership) and external (business community, clients, and vendors) within a matrix organization to develop strategies that meet department goals within budget and timelines. </li> </ul> You Will Enjoy: <ul><li> An opportunity to be a part of a great culture, an awesome team, a challenging work environment, and some fun along the way! </li><li> Apply today to learn more and be part of our Growth story. </li> </ul> All applications will be kept strictly confidential and once shortlisted, our team will be in touch with you for further discussions.      Department: Scout This is a full time position <h3>Personal Information </h3> * First name * Last name * Email Address City State Zip code * Phone number <h3>Attachments </h3> * Attach your Resume Attach Dropbox Paste Attach a Cover letter Attach Dropbox <h3>Other Information </h3> How did you hear about this position? * Your Legal Work Authorization in the US? * Are you currently employed? * if Hired when will you be able to start? * What is your desired salary/hourly rate? * If on valid work authorization visa, are you associated with any employer for your new assignment? If yes, please give employer details? * What is your motivation for Change/New Job Opportunity? * If Currently working, what is your Notice period? #J-18808-Ljbffr

Job Summary:

The Data Scientist – RWE will be responsible for generating Real-World Evidence (RWE) through advanced analytics and innovative approaches in the clinical trials space. The data scientist will be integral part of the Scientific Affairs team The candidate should have a strong desire to influence internal and external decision making through the application of innovative data science and technology. In this role, you will conduct sophisticated data analysis to help address critical business questions. This role reports to Director, Clinical Data Science

Job Responsibilities: Conducts due diligence on new real world data providers vendors and drive RWD quality assessments to inform investment decisions
Mine raw data sets to deliver standardized, analysis ready patient cohorts from in house data assets or online licensed platforms .
Partners with other members of the Walgreens Clinical Trial team to deliver actionable insights from real world, clinical and other data sources to support biopharmaceutical RWE and clinical trial requests.
Cleans, transforms and stores data into an integrated data lake for future analysis and broader team consumption
Performs data mining and statistical analysis to analyze to find new insights regarding patient populations and treatment outcomes
Supports the development of real-world data, analytics and platform capabilities, applying cutting edge advanced analytics methodologies and tools to address scientific questions from biopharmaceutical companies
Collaborates on design and execution of outcomes research studies from a data science and analytics perspective
Ensures high quality, rigorous and readily interpretable deliverables from RWE Studies analyses
Builds dashboards, analytics and reports for internal and external consumption

About Walgreens
Founded in 1901, Walgreens (www.walgreens.com) has a storied heritage of caring for communities for generations, and proudly serves nearly 9 million customers and patients each day across its approximately 8,500 stores throughout the U.S. and Puerto Rico, and leading omni-channel platforms. Walgreens has approximately 220,000 team members, including nearly 90,000 healthcare service providers, and is committed to being the first choice for retail pharmacy and health services, building trusted relationships that create healthier futures for customers, patients, team members and communities.
Walgreens is the flagship U.S. brand of Walgreens Boots Alliance, Inc. (Nasdaq: WBA), an integrated healthcare, pharmacy and retail leader. Its retail locations are a critical point of access and convenience in thousands of communities, with Walgreens pharmacists playing a greater role as part of the healthcare system and patients’ care teams than ever before. Walgreens Specialty Pharmacy provides critical care and pharmacy services to millions of patients with rare disease states and complex, chronic conditions.
The actual salary an employee can expect to receive, plus bonus pursuant to the terms of any bonus plan if applicable, will depend on experience, seniority, geographic location, and other factors permitted by law. To review benefits, please visit jobs.walgreens.com/benefits.
'An Equal Opportunity Employer, including disability/veterans'.

#LI-TO1
Bachelor’s Degree and at least 4 years of experience in quantitative or computational functions OR High School/GED and at least 7 years of experience in quantitative or computational or technical discipline
Bachelor's degree or graduate degree in a quantitative, computational or technical discipline
Analytics experience in R, Python, SQL.
Experience in designing and executing robust and reproducible statistical analyses in the context of epidemiology and observational research with healthcare data
Knowledge of common statistical testing techniques including generalized linear models, classification and discrimination, decision trees, unsupervised learning, time series analysis and survival analysis
Experience processing large data from various data sources
Experience handling of protected patient health information
Knowledge of at least one of the following: Tableau, Power Bi, Alteryx, Spotfire, or other BI intelligence tools
Willing to travel up to 10% of the time for business purposes (within state and out of state).

#J-18808-Ljbffr

Job Summary: The Data Scientist RWE will be responsible for generating Real-World Evidence (RWE) through advanced analytics and innovative approaches in the clinical trials space. The data scientist will be integral part of the Scientific Affairs team The candidate should have a strong desire to influence internal and external decision making through the application of innovative data science and technology. In this role, you will conduct sophisticated data analysis to help address critical business questions. This role reports to Director, Clinical Data Science Job Responsibilities: Conducts due diligence on new real world data providers vendors and drive RWD quality assessments to inform investment decisions Mine raw data sets to deliver standardized, analysis ready patient cohorts from in house data assets or online licensed platforms . Partners with other members of the Walgreens Clinical Trial team to deliver actionable insights from real world, clinical and other data sources to support biopharmaceutical RWE and clinical trial requests. Cleans, transforms and stores data into an integrated data lake for future analysis and broader team consumption Performs data mining and statistical analysis to analyze to find new insights regarding patient populations and treatment outcomes Supports the development of real-world data, analytics and platform capabilities, applying cutting edge advanced analytics methodologies and tools to address scientific questions from biopharmaceutical companies Collaborates on design and execution of outcomes research studies from a data science and analytics perspective Ensures high quality, rigorous and readily interpretable deliverables from RWE Studies analyses Builds dashboards, analytics and reports for internal and external consumption About Walgreens Founded in 1901, Walgreens (www.walgreens.com) has a storied heritage of caring for communities for generations, and proudly serves nearly 9 million customers and patients each day across its approximately 8,500 stores throughout the U.S. and Puerto Rico, and leading omni-channel platforms. Walgreens has approximately 220,000 team members, including nearly 90,000 healthcare service providers, and is committed to being the first choice for retail pharmacy and health services, building trusted relationships that create healthier futures for customers, patients, team members and communities. Walgreens is the flagship U.S. brand of Walgreens Boots Alliance, Inc. (Nasdaq: WBA), an integrated healthcare, pharmacy and retail leader. Its retail locations are a critical point of access and convenience in thousands of communities, with Walgreens pharmacists playing a greater role as part of the healthcare system and patients care teams than ever before. Walgreens Specialty Pharmacy provides critical care and pharmacy services to millions of patients with rare disease states and complex, chronic conditions. The actual salary an employee can expect to receive, plus bonus pursuant to the terms of any bonus plan if applicable, will depend on experience, seniority, geographic location, and other factors permitted by law. To review benefits, please visit jobs.walgreens.com/benefits. 'An Equal Opportunity Employer, including disability/veterans'. LI-TO1 Bachelors Degree and at least 4 years of experience in quantitative or computational functions OR High School/GED and at least 7 years of experience in quantitative or computational or technical discipline Bachelor's degree or graduate degree in a quantitative, computational or technical discipline Analytics experience in R, Python, SQL. Experience in designing and executing robust and reproducible statistical analyses in the context of epidemiology and observational research with healthcare data Knowledge of common statistical testing techniques including generalized linear models, classification and discrimination, decision trees, unsupervised learning, time series analysis and survival analysis Experience processing large data from various data sources Experience handling of protected patient health information Knowledge of at least one of the following: Tableau, Power Bi, Alteryx, Spotfire, or other BI intelligence tools Willing to travel up to 10% of the time for business purposes (within state and out of state). J-18808-Ljbffr

Title : Sr. Director, Data Scientist @ Deerfield , IL
Terms of Hire: Full Time.
Salary: $ Open/yr + Benefits.

Role Description:
Oversees a team that provides decision science and digital analytics leadership across multiple organizations within Client, delivering best in class data insights to the business.
Provides leadership to enterprise to deliver data-driven solutions to complex problems with very high levels of ambiguity using both structured and unstructured data across the enterprise.

Job Responsibilities Guide and mentor a team of data scientist to use a wide range data science technique for descriptive, diagnostic, predictive, and prescriptive analyses.
Sets the vision for manipulation and analyses of large and complex data sets.
Distill the complexities of digital analytics (tagging, data, reporting) into layman terms, providing impactful visualizations, actionable insights, and test/optimization opportunities.
Lead the team in leveraging machine learning and Artificial Intelligence technologies to drive real time customer centric decision making .
Provide analytical support and customer insights and science to new mass personalization programs – lead team providing the scientific backbone and foundation for the engine that will drive this targeted marketing approach?.
Build out a world class data science team that is aligned to support Client as key business function for data across all categories with a lens for the customer?.
Provide thought leadership to support the key initiatives of Mass personalization, My Client, Covid vaccine and cross target strategies with ML and AI techniques.
Experience with both digital campaign performance and site performance and optimization (including Paid Media/SEM and SEO methods), as well as foundation knowledge of media platforms and reporting tools (Campaign Manager, Google Ads, Microsoft Ads, social platforms, etc.).
Extensive experience in guiding the decision on leading edge technical / business approaches and/or develops major new technical tools.
Facilitates communication between executives, staff, management, vendors, and other technology resources within and outside of the organization. Shares highly complex information related to areas of expertise. Interacts with senior management to keep abreast of objectives. Interacts with direct reports and peers in management / customers / vendors to interpret information and improve cross-functional processes and programs. Builds and enhances key internal and external contacts.
What are the 3-4 non-negotiable requirements of this position? Deep knowledge of open-source data science and statistics packages such as Python, R, Spark, etc. Experience in data science, advanced analytics, or statistics. Ability to interrogate data, perform analyses, interpret data, and present to business audiences. Deep knowledge of SQL. At least 6 years of experience in direct leadership, indirect leadership and/or cross-functional team leadership.
What are the nice-to-have skills? Advanced degree in a quantitative, computational, or technical discipline and at least 6 years of experience in quantitative or computational functions. Master's degree or Ph.D. in a highly quantitative field (e.g., Statistics, Math, Operations Research, Physics, etc.). At least 12 years’ experience leading data science technical efforts/teams. Experience establishing and maintaining key relationships with internal (peers, business partners and leadership) and external (business community, clients, and vendors) within a matrix organization to develop strategies that meet department goals within budget and timelines.
You Will Enjoy: An opportunity to be a part of a great culture, an awesome team, a challenging work environment, and some fun along the way!
Apply today to learn more and be part of our Growth story.
All applications will be kept strictly confidential and once shortlisted, our team will be in touch with you for further discussions.

Department: Scout
This is a full time position

Personal Information * First name
* Last name
* Email
Address
City
State
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Job Description:

Job Summary:

The Data Scientist – RWE will be responsible for generating Real-World Evidence (RWE) through advanced analytics and innovative approaches in the clinical trials space. The data scientist will be integral part of the Scientific Affairs team The candidate should have a strong desire to influence internal and external decision making through the application of innovative data science and technology. In this role, you will conduct sophisticated data analysis to help address critical business questions. This role reports to Director, Clinical Data Science

Job Responsibilities:

Conducts due diligence on new real world data providers vendors and drive RWD quality assessments to inform investment decisions

Mine raw data sets to deliver standardized, analysis ready patient cohorts from in house data assets or online licensed platforms.

Partners with other members of the Walgreens Clinical Trial team to deliver actionable insights from real world, clinical and other data sources to support biopharmaceutical RWE and clinical trial requests.

Cleans, transforms and stores data into an integrated data lake for future analysis and broader team consumption

Performs data mining and statistical analysis to analyze to find new insights regarding patient populations and treatment outcomes

Supports the development of real-world data, analytics and platform capabilities, applying cutting edge advanced analytics methodologies and tools to address scientific questions from biopharmaceutical companies

Collaborates on design and execution of outcomes research studies from a data science and analytics perspective

Ensures high quality, rigorous and readily interpretable deliverables from RWE Studies analyses

Builds dashboards, analytics and reports for internal and external consumption

About Walgreens

Founded in 1901, Walgreens (www.walgreens.com) has a storied heritage of caring for communities for generations, and proudly serves nearly 9 million customers and patients each day across its approximately 8,500 stores throughout the U.S. and Puerto Rico, and leading omni-channel platforms. Walgreens has approximately 220,000 team members, including nearly 90,000 healthcare service providers, and is committed to being the first choice for retail pharmacy and health services, building trusted relationships that create healthier futures for customers, patients, team members and communities.

Walgreens is the flagship U.S. brand of Walgreens Boots Alliance, Inc. (Nasdaq: WBA), an integrated healthcare, pharmacy and retail leader. Its retail locations are a critical point of access and convenience in thousands of communities, with Walgreens pharmacists playing a greater role as part of the healthcare system and patients’ care teams than ever before. Walgreens Specialty Pharmacy provides critical care and pharmacy services to millions of patients with rare disease states and complex, chronic conditions.

The actual salary an employee can expect to receive, plus bonus pursuant to the terms of any bonus plan if applicable, will depend on experience, seniority, geographic location, and other factors permitted by law. To review benefits, please visit jobs.walgreens.com/benefits.

"An Equal Opportunity Employer, including disability/veterans".

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Job ID:  1479406BR

Title:  Data Scientist, RWE Clinical Trials - Remote

Company Indicator:  Walgreens

Employment Type:

Job Function:  Marketing

Full Store Address:  108 WILMOT ROAD,DEERFIELD,IL 60015

Full District Office Address:  108 WILMOT ROAD,DEERFIELD,IL,60015-05108-00001-Y

External Basic Qualifications:

Bachelor’s Degree and at least 4 years of experience in quantitative or computational functions OR High School/GED and at least 7 years of experience in quantitative or computational or technical discipline

Bachelor's degree or graduate degree in a quantitative, computational or technical discipline

Analytics experience in R, Python, SQL.

Experience in designing and executing robust and reproducible statistical analyses in the context of epidemiology and observational research with healthcare data

Knowledge of common statistical testing techniques including generalized linear models, classification and discrimination, decision trees, unsupervised learning, time series analysis and survival analysis

Experience processing large data from various data sources

Experience handling of protected patient health information

Knowledge of at least one of the following: Tableau, Power Bi, Alteryx, Spotfire, or other BI intelligence tools

Willing to travel up to 10% of the time for business purposes (within state and out of state).

Preferred Qualifications:

PhD, Master’s degree in, statistics/biostatistics, computer science, mathematics, systems engineering, biomedical engineering or related field

Expertise in EMR/Health IT, disease registries, and insurance claims databases

Expertise in clinical data standards, medical terminologies and controlled vocabularies used in healthcare data and ontologies (ICD9/10/ReadCode)

Experience in Good Clinical Practice (GCP) and/or regulatory compliance guidelines for real-world evidence studies or clinical trials (e.g., ISO, MDD/MDR, CFR)

Experience working on alternative data sources and alternative methods of clinical data collection, especially those enabled by technology platforms and/or solutions.

Experience with experimental design, Bayesian modeling, sequential data, computational statistics

Understanding of statistics and machine learning methods, ability to continue self learning of technical and non technical skills

We will consider employment of qualified applicants with arrest and conviction records.

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