Description

As a Data Scientist in our team, you will work on data science projects across the company with the purpose of solving complex business problems by applying advanced methods including artificial intelligence, machine learning, causal inference, advanced statistics, computer vision, natural language processing and other related techniques.

Data Scientists are experienced in delivering successful data science projects in a team and working in collaboration with business partners to develop applications utilizing data for smart decision making. You will also design and build computational models, discovering insights and identifying opportunities using statistical and algorithmic methods as well as data visualization techniques. Turning data into critical information and knowledge, the Data Scientist will manage small projects, potentially including external support and develop and mentor more junior colleagues.

As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development, and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. We support our employees in several ways to foster a healthy working environment, meaningful work, diversity and inclusion, mobility, networking, and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees.

This role is based out of our Ridgefield, CT campus (2-3 days per week on site).

Compensation Data

This position offers a base salary typically between $111,000 by $183,000. The position may be eligible for a role specific variable or performance based bonus and or other compensation elements. For an overview of our benefits please click here. (https://www.boehringer-ingelheim.com/us/careers/benefits-rewards)

Duties & Responsibilities

Design and implement end-to end data science projects/ use cases using agile methodologies.

Collaborate with business units to understand and solve problems.

Develop and deploy high-quality, scalable data solutions, collaborating with developers.

Establish the monitoring of data science models in production.

Apply expertise in data science to design, prototype, and build the next-generation analytics engines and services.

Mentor junior colleagues, manage small projects, coach other IT team members on principles and techniques, providing thought leadership.

Promote knowledge exchange within and outside the organization.

Establishing close collaborations with business units to transform towards smart decision making and guide the organization on the strategy of artificial intelligence (AI)/data science.

Why Boehringer Ingelheim?

Contribute to global projects and collaborate internationally.

Enjoy a supportive work environment with a focus on work-life balance, diversity, and inclusion.

Competitive compensation and benefits, 401K, Pension and much more.

Requirements

Bachelor’s Degree in a quantitative field (e.g., Physics, Mathematics, Computer Science).

5+ years of relevant data science experience.

Proficiency and 2 years’ experience in Python, R, C++, and parallel computing.

Experience with big data tools (Hadoop, Spark) and scripting languages (PHP, Perl, Bash).

Unix environment experience

Expertise in relevant methods and skills such as data wrangling, EDA, data visualization, prototyping, feature engineering, dimensionality reduction, classification methods, regression methods, clustering methods, computer vision methods, time-series analysis, causal inference, NLP.

Knowledge of ETL processes and various data formats, types of database operations, concepts, architecture, data hygiene /enrichment.

Knowledge for API usage, web scraping and text processing

Strong analytical and problem-solving skills.

First-hand experience of collaboration in an agile software development team

2 years of deep analytical problem solving in business or quantitative analytical research.

Expertise designing, setting up and executing validation and experimentation of data science outcomes in business environments.

Experience in project management, driving and delivering data science projects, and ability to engage and communicate effectively with business users and effectively communicating.

Entrepreneurial and agile mindset /out-of-the-box thinking.

Excellent English communication skills, both verbal and written.

Eligibility:

Must be legally authorized to work in the U.S.

Must be willing to take a drug test and post-offer physical.

Must be 18 years or older.

All qualified applicants will receive consideration for employment without regard to a person’s actual or perceived race, including natural hairstyles, hair texture and protective hairstyles; color; creed; religion; national origin; age; ancestry; citizenship status, marital status; gender, gender identity or expression; sexual orientation, mental, physical or intellectual disability, veteran status; pregnancy, childbirth or related medical condition; genetic information (including the refusal to submit to genetic testing) or any other class or characteristic protected by applicable law.

Description  Supports the clinical drug research and development process by providing strategic planning and execution, including data transformation and all aspects of descriptive, diagnostic, predictive and prescriptive analytics of data related to clinical projects like actual trial data, registries and real-world data bases. In particular this includes the provision of analytics tools, outputs and inference as necessary for the specific use case. May act as a BDS product owner up to substance/asset level. Represent BDS at a substance/asset level regarding data science related aspects. As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the company's success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, diversity and inclusion, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees.
Duties & Responsibilities   Lead and oversee designing, transforming, analyzing and reporting complex phase I-IV clinical trials or projects with established BI experience and supporting complex international R&D projects.
Lead and oversee for designing, transforming, analyzing and reporting of other data from research and development like registries and real-world data bases with respect to a specific use case or project/asset.
Keep abreast of data science within and outside BI. Turn derived insights into new data science approaches relevant for clinical development, registration, and marketing of drugs.
Present compelling validated stories regarding complex data science aspects to BDS colleagues and other professionals within and outside of BI.
Ensure data transformation and analysis specifications to ensure completeness, correctness and adherence to department guidelines and SOPs as well as to applicable GxP requirements.
Guide and/or lead other colleagues, internal and external customers and external providers on data science related tasks.
Participate in cross-functional BI internal working-groups or lead cross-functional human pharma internal working-groups and drive/plan relevant data science aspects. Participate in external working groups.
If applicable, supports the clinical drug development process as a BDS Product Owner up to the level of substance/assets.
Ensures cross-functional and team-based working within BDS and with other units at BI. Fulfils tasks of other functions as needed and possible. Contributes to cross-functional- and team-based thinking.
Support fostering innovative digital approaches to produce sophisticated, intelligent optimization solutions, innovative processes and predictive models.
Requirements   Bachelor of Science (BSc) from an accredited institution in Statistics, Mathematics, Computer Science or related field (Psychology, Data Science, Finance, etc.), with a minimum seven (7) years of data science experience; Or
Master of Science (MSc) from an accredited institution in Statistics, Mathematics, Computer Science or related field (Psychology, Data Science, Finance, etc.), with six (6) years of experience within the pharmaceutical industry, CROs, regulatory authorities or academic institutions; Or
Doctoral Degree (PhD) from an accredited institution in Statistics, Mathematics, Computer Science or related field (Psychology, Data Science, Finance, etc.), with three (3) years of experience within the pharmaceutical industry, CROs, regulatory authorities or academic institutions.
Working experience might be partially compensated by broad and deep topic-specific knowledge.
Broad knowledge and advanced experience in software languages relevant for business needs.
Broad knowledge and advanced experience in understanding of clinical trial development process required.
Advanced project lead experience required.
Understanding and applying key principles of data science.
In-depth understanding of advanced statistical concepts related to Data Science.
Demonstrated broad knowledge in planning, transforming, analyzing, interpreting, and reporting data in complex clinical trials, in projects with established BI experience or data from other sources in clinical research and development.
Thorough knowledge of statistical methodology, design of clinical trials or clinical experiments, basic medical terminology and on processing clinical trial information.
Advanced working knowledge of a broad variety of aspects of relevant software languages.
Mindful of local, global, internal and external cultures to ensure that messages are received positively and effectively.
Ability to lead and facilitate meetings.
Ability to develop and deliver training related to data science topics.
Evidence of strong teamwork, also in global and remote context.
Good interpersonal skills with the ability to interact effectively with people, internally and externally (e.g. CROs, experts, management).
Ability to pro-actively identify issues and solutions and to interact with internal and external bodies on routine data science issues.
Know, understand, and implement:
International regulations and guidelines for good clinical and statistical practice from all ICH regions,
The various international guidelines on clinical development, including statistical methodology, for TA-related disease areas, and
BI processes and SOPs that govern clinical development in particular with respect to strategic areas (e.g. Clinical Development Plan).
Compensation  This position offers a base salary typically between $135,000 and $232,000. The position may be eligible for a role specific variable or performance-based bonus and or other compensation elements. For an overview of our benefits please click here.
Eligibility Requirements
Must be legally authorized to work in the United States without restriction.
Must be willing to take a drug test and post-offer physical (if required).

#J-18808-Ljbffr

<p><p>    Supports the clinical drug research and development process by providing strategic planning and execution, including data transformation and all aspects of descriptive, diagnostic, predictive and prescriptive analytics of data related to clinical projects like actual trial data, registries and real-world data bases. In particular this includes the provision of analytics tools, outputs and inference as necessary for the specific use case. May act as a BDS product owner up to Therapeutic Area/asset level. Represent BDS at a substance/asset level regarding data science related aspects. As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, diversity and inclusion, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees.<br/><br/> </p><p><p><h3><b>Duties & Responsibilities  </b> </h3> </p><p><ul><li>Subject Matter Expert (SME) / Process Lead for designing as well as transforming, analyzing and reporting complex phase I-IV clinical trials that represent new challenges and for which project and therapeutic knowledge is not given, such as mega trials or new indications and for complex international R&D projects. </li><li>Subject Matter Expert (SME) / Process Lead for designing as well as transforming, analyzing and reporting of other data that represent new challenges from research and development like registries and real-world data bases. </li><li>Identify trends in data science within and outside BI. Initiate and turn derived insights into new data science approaches relevant for clinical development, registration, and marketing of drugs. </li><li>Present compelling validated stories regarding complex data science aspects to BDS colleagues, other professionals within and outside of BI and laymen. </li><li>Ensure data transformation and analysis specifications to ensure completeness, correctness and adherence to department guidelines and SOPs as well as to applicable GxP requirements. </li><li>Lead/Guide other colleagues, internal and external customers and external providers on data science related tasks. </li><li>Lead cross-functional BI internal working-groups and drive/plan relevant data science aspects. Participate in external working groups. </li><li>If applicable, supports the clinical drug development process as a BDS Product Owner up to the level of Therapeutic Area/assets. </li><li>Facilitates and ensures cross-functional and team-based working within BDS and with the rest of the company. Fulfils tasks of other functions as needed and possible. Contributes to cross-functional- and team-based thinking. </li><li>Fosters innovative digital approaches to produce sophisticated, intelligent optimization solutions, innovative processes and predictive models. </li> </ul> </p> </p><p><p><h3><b>Requirements  </b> </h3> </p><p><ul><li>Bachelor of Science (BSc) from an accredited institution in Statistics, Mathematics, Computer Science or related field (Psychology, Data Science, Finance, etc.), with a minimum of ten (10) years of data science experience; Or </li><li>Master of Science (MSc) from an accredited institution in Statistics, Mathematics, Computer Science or related field (Psychology, Data Science, Finance, etc.), with ten (10) years of experience within the pharmaceutical industry, CROs, regulatory authorities or academic institutions; Or </li><li>Doctoral Degree (PhD) from an accredited institution in Statistics, Mathematics, Computer Science or related field (Psychology, Data Science, Finance, etc.), with six (6) years of experience within the pharmaceutical industry, CROs, regulatory authorities or academic institutions. </li><li>Working experience might be partially compensated by broad and deep topic-specific knowledge. </li><li>Comprehensive knowledge and advanced experience in software languages relevant for business needs. </li><li>Comprehensive knowledge and advanced experience in understanding of clinical trial development process required. </li><li>Broad knowledge and advanced project lead experience required. </li><li>Experience in agile project methods. </li><li>Understanding and applying key principles of data science. </li><li>Demonstrated comprehensive knowledge in planning, transforming, analyzing, interpreting, and reporting data in complex situations that represent new challenges and for which project and therapeutic knowledge is not given. </li><li>Excellent knowledge of statistical methodology, design of clinical trials or clinical experiments, basic medical terminology and on processing clinical trial information. </li><li>Advanced understanding of cutting-edge statistical concepts related to Data Science. </li><li>Comprehensive working knowledge of broad variety of aspects of relevant software languages. </li><li>Mindful of local, global, internal and external cultures to ensure that messages are received positively and effectively. </li><li>Ability to lead and facilitate meetings. </li><li>Ability to develop and deliver training related to data science topics. </li><li>Evidence of strong teamwork, also in global and remote context. </li><li>Good interpersonal skills with the ability to interact effectively with people, internally and externally (e.g. CROs, experts, management). </li><li>Ability to pro-actively identify issues and solutions and to interact with internal and external bodies on routine data science issues. </li><li>Language skills: English: fluent (Read/Write/Speak). </li><li>Know, understand, and implement:      <ul><li>International regulations and guidelines for good clinical and statistical practice from all ICH regions, </li><li>The various international guidelines on clinical development, including statistical methodology, for TA-related disease areas, and </li><li>BI processes and SOPs that govern clinical development in particular with respect to strategic areas (e.g. Clinical Development Plan). </li> </ul> </li> </ul> </p> </p><p><h3><b>Compensation </b> </h3> </p> </p>#J-18808-Ljbffr

<p>Description: Supports the clinical drug research and development process by providing strategic planning and execution, including data transformation and all aspects of descriptive, diagnostic, predictive and prescriptive analytics of data related to clinical projects like actual trial data, registries and real-world data bases. In particular, this includes the provision of analytics tools, outputs and inference as necessary for the specific use case. May act as a BDS product owner up to Therapeutic Area/asset level. Represent BDS at a substance/asset level regarding data science related aspects. As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, diversity and inclusion, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees. </p><h3>Duties & Responsibilities </h3><ul><li>Subject Matter Expert (SME) / Process Lead for designing as well as transforming, analyzing and reporting complex phase I-IV clinical trials that represent new challenges and for which project and therapeutic knowledge is not given, such as mega trials or new indications and for complex international R&D projects. </li><li>Subject Matter Expert (SME) / Process Lead for designing as well as transforming, analyzing and reporting of other data that represent new challenges from research and development like registries and real-world data bases. </li><li>Identify trends in data science within and outside BI. Initiate and turn derived insights into new data science approaches relevant for clinical development, registration, and marketing of drugs. </li><li>Present compelling validated stories regarding complex data science aspects to BDS colleagues, other professionals within and outside of BI and laymen. </li><li>Ensure data transformation and analysis specifications to ensure completeness, correctness and adherence to department guidelines and SOPs as well as to applicable GxP requirements. </li><li>Lead/Guide other colleagues, internal and external customers and external providers on data science related tasks. </li><li>Lead cross-functional BI internal working-groups and drive/plan relevant data science aspects. Participate in external working groups. </li><li>If applicable, supports the clinical drug development process as a BDS Product Owner up to the level of Therapeutic Area/assets. </li><li>Facilitates and ensures cross-functional and team-based working within BDS and with the rest of the company. Fulfils tasks of other functions as needed and possible. Contributes to cross-functional- and team-based thinking. </li><li>Fosters innovative digital approaches to produce sophisticated, intelligent optimization solutions, innovative processes and predictive models. </li> </ul><h3>Requirements </h3><ul><li>Bachelor of Science (BSc) from an accredited institution in Statistics, Mathematics, Computer Science or related field (Psychology, Data Science, Finance, etc.), with a minimum of ten (10) years of data science experience; Or </li><li>Master of Science (MSc) from an accredited institution in Statistics, Mathematics, Computer Science or related field (Psychology, Data Science, Finance, etc.), with ten (10) years of experience within the pharmaceutical industry, CROs, regulatory authorities or academic institutions; Or </li><li>Doctoral Degree (PhD) from an accredited institution in Statistics, Mathematics, Computer Science or related field (Psychology, Data Science, Finance, etc.), with six (6) years of experience within the pharmaceutical industry, CROs, regulatory authorities or academic institutions. </li><li>Working experience might be partially compensated by broad and deep topic-specific knowledge. </li><li>Comprehensive knowledge and advanced experience in software languages relevant for business needs. </li><li>Comprehensive knowledge and advanced experience in understanding of clinical trial development process required. </li><li>Broad knowledge and advanced project lead experience required. </li><li>Experience in agile project methods. </li><li>Understanding and applying key principles of data science. </li><li>Demonstrated comprehensive knowledge in planning, transforming, analyzing, interpreting, and reporting data in complex situations that represent new challenges and for which project and therapeutic knowledge is not given. </li><li>Excellent knowledge of statistical methodology, design of clinical trials or clinical experiments, basic medical terminology and on processing clinical trial information. </li><li>Advanced understanding of cutting-edge statistical concepts related to Data Science. </li><li>Comprehensive working knowledge of a broad variety of aspects of relevant software languages. </li><li>Mindful of local, global, internal and external cultures to ensure that messages are received positively and effectively. </li><li>Ability to lead and facilitate meetings. </li><li>Ability to develop and deliver training related to data science topics. </li><li>Evidence of strong teamwork, also in global and remote context. </li><li>Good interpersonal skills with the ability to interact effectively with people, internally and externally (e.g. CROs, experts, management). </li><li>Ability to pro-actively identify issues and solutions and to interact with internal and external bodies on routine data science issues. </li><li>Language skills: English: fluent (Read/Write/Speak). </li><li>Know, understand, and implement: <ul><li>International regulations and guidelines for good clinical and statistical practice from all ICH regions, </li><li>The various international guidelines on clinical development, including statistical methodology, for TA-related disease areas, and </li><li>BI processes and SOPs that govern clinical development in particular with respect to strategic areas (e.g. Clinical Development Plan). </li> </ul> </li> </ul><h3>Compensation </h3><p>This position offers a base salary typically between $135,000 and $232,000. The position may be eligible for a role specific variable or performance based bonus and or other compensation elements. For an overview of our benefits please click here. </p>#J-18808-Ljbffr

<p>Description  Supports the clinical drug research and development process by providing strategic planning and execution, including data transformation and all aspects of descriptive, diagnostic, predictive and prescriptive analytics of data related to clinical projects like actual trial data, registries and real-world data bases. In particular this includes the provision of analytics tools, outputs and inference as necessary for the specific use case. May act as a BDS product owner up to substance/asset level. Represent BDS at a substance/asset level regarding data science related aspects. As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, diversity and inclusion, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees. Duties & Responsibilities   <ul> <li>Lead and oversee designing, transforming, analyzing and reporting complex phase I-IV clinical trials or projects with established BI experience and supporting complex international R&D projects. </li> <li>Lead and oversee for designing, transforming, analyzing and reporting of other data from research and development like registries and real-world data bases with respect to a specific use case or project/asset. </li> <li>Keep abreast of data science within and outside BI. Turn derived insights into new data science approaches relevant for clinical development, registration, and marketing of drugs. </li> <li>Present compelling validated stories regarding complex data science aspects to BDS colleagues and other professionals within and outside of BI. </li> <li>Ensure data transformation and analysis specifications to ensure completeness, correctness and adherence to department guidelines and SOPs as well as to applicable GxP requirements. </li> <li>Guide and/or lead other colleagues, internal and external customer and external providers on data science related tasks. </li> <li>Participate in cross-functional BI internal working-groups or lead cross-functional human pharma internal working-groups and drive/plan relevant data science aspects. Participate in external working groups. </li> <li>If applicable, supports the clinical drug development process as a BDS Product Owner up to the level of substance/assets. </li> <li>Ensures cross-functional and team-based working within BDS and with other units at BI. Fulfils tasks of other functions as needed and possible. Contributes to cross-functional- and team-based thinking. </li> <li>Support fostering innovative digital approaches to produce sophisticated, intelligent optimization solutions, innovative processes and predictive models. </li>  </ul> Requirements  <ul> <li>Bachelor of Science (BSc) from an accredited institution in Statistics, Mathematics, Computer Science or related field (Psychology, Data Science, Finance, etc.), with a minimum seven (7) years of data science experience; Or  </li> <li>Master of Science (MSc) from an accredited institution in Statistics, Mathematics, Computer Science or related field (Psychology, Data Science, Finance, etc.), with six (6) years of experience within the pharmaceutical industry, CROs, regulatory authorities or academic institutions; Or  </li> <li>Doctoral Degree (PhD) from an accredited institution in Statistics, Mathematics, Computer Science or related field (Psychology, Data Science, Finance, etc.), with three (3) years of experience within the pharmaceutical industry, CROs, regulatory authorities or academic institutions. </li> <li>Working experience might be partially compensated by broad and deep topic-specific knowledge. </li> <li>Broad knowledge and advanced experience in software languages relevant for business needs. </li> <li>Broad knowledge and advanced experience in understanding of clinical trial development process required.  </li> <li>Advanced project lead experience required. </li> <li>Understanding and applying key of principles of data science.  </li> <li>In-depth understanding of advanced statistical concepts related to Data Science. </li> <li>Demonstrated broad knowledge in planning, transforming, analyzing, interpreting, and reporting data in complex clinical trials, in projects with established BI experience or data from other sources in clinical research and development. </li> <li>Thorough knowledge of statistical methodology, design of clinical trials or clinical experiments, basic medical terminology and on processing clinical trial information. </li> <li>Advanced working knowledge of broad variety of aspects of relevant software languages. </li> <li>Mindful of local, global, internal and external cultures to ensure that messages are received positively and effectively.  </li> <li>Ability to lead and facilitate meetings. </li> <li>Ability to develop and deliver training related to data science topics. </li> <li>Evidence of strong teamwork, also in global and remote context.  </li> <li>Good interpersonal skills with the ability to interact effectively with people, internally and externally (e.g. CROs, experts, management).  </li> <li>Ability to pro-actively identify issues and solutions and to interact with internal and external bodies on routine data science issues. </li> <li>Language skills: English: fluent (Read/Write/Speak). </li> <li>Know, understand, and implement: <ul> <li>International regulations and guidelines for good clinical and statistical practice from all ICH regions,  </li> <li>The various international guidelines on clinical development, including statistical methodology, for TA-related disease areas, and  </li> <li>BI processes and SOPs that govern clinical development in particular with respect to strategic areas (e.g. Clinical Development Plan). </li>  </ul>  </li>  </ul>  Compensation <p>This position offers a base salary typically between $135,000 and $232,000. The position may be eligible for a role specific variable or performance based bonus and or other compensation elements. For an overview of our benefits please click here. </p> <p><b><u>Eligibility Requirements </u> </b> </p> <ul> <li>Must be legally authorized to work in the United States without restriction. </li> <li>Must be willing to take a drug test and post-offer physical (if required). </li> <li>Must be 18 years of age or older. </li>  </ul> </p>#J-18808-Ljbffr

<p>Supports the clinical drug research and development process by providing strategic planning and execution, including data transformation and all aspects of descriptive, diagnostic, predictive and prescriptive analytics of data related to clinical projects like actual trial data, registries and real-world data bases. In particular this includes the provision of analytics tools, outputs and inference as necessary for the specific use case. May act as a BDS product owner up to Therapeutic Area/asset level. Represent BDS at a substance/asset level regarding data science related aspects. As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, diversity and inclusion, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees. </p> <h3>Duties & Responsibilities </h3> <ul> <li>Subject Matter Expert (SME) / Process Lead for designing as well as transforming, analyzing and reporting complex phase I-IV clinical trials that represent new challenges and for which project and therapeutic knowledge is not given, such as mega trials or new indications and for complex international R&D projects. </li> <li>Subject Matter Expert (SME) / Process Lead for designing as well as transforming, analyzing and reporting of other data that represent new challenges from research and development like registries and real-world data bases. </li> <li>Identify trends in data science within and outside BI. Initiate and turn derived insights into new data science approaches relevant for clinical development, registration, and marketing of drugs. </li> <li>Present compelling validated stories regarding complex data science aspects to BDS colleagues, other professionals within and outside of BI and laymen. </li> <li>Ensure data transformation and analysis specifications to ensure completeness, correctness and adherence to department guidelines and SOPs as well as to applicable GxP requirements. </li> <li>Lead/Guide other colleagues, internal and external customers and external providers on data science related tasks. </li> <li>Lead cross-functional BI internal working-groups and drive/plan relevant data science aspects. Participate in external working groups. </li> <li>If applicable, supports the clinical drug development process as a BDS Product Owner up to the level of Therapeutic Area/assets. </li> <li>Facilitates and ensures cross-functional and team-based working within BDS and with the rest of the company. Fulfils tasks of other functions as needed and possible. Contributes to cross-functional- and team-based thinking. </li> <li>Fosters innovative digital approaches to produce sophisticated, intelligent optimization solutions, innovative processes and predictive models. </li>  </ul> <h3>Requirements </h3> <ul> <li>Bachelor of Science (BSc) from an accredited institution in Statistics, Mathematics, Computer Science or related field (Psychology, Data Science, Finance, etc.), with a minimum of ten (10) years of data science experience; Or </li> <li>Master of Science (MSc) from an accredited institution in Statistics, Mathematics, Computer Science or related field (Psychology, Data Science, Finance, etc.), with ten (10) years of experience within the pharmaceutical industry, CROs, regulatory authorities or academic institutions; Or </li> <li>Doctoral Degree (PhD) from an accredited institution in Statistics, Mathematics, Computer Science or related field (Psychology, Data Science, Finance, etc.), with six (6) years of experience within the pharmaceutical industry, CROs, regulatory authorities or academic institutions. </li> <li>Working experience might be partially compensated by broad and deep topic-specific knowledge. </li> <li>Comprehensive knowledge and advanced experience in software languages relevant for business needs. </li> <li>Comprehensive knowledge and advanced experience in understanding of clinical trial development process required. </li> <li>Broad knowledge and advanced project lead experience required. </li> <li>Experience in agile project methods. </li> <li>Understanding and applying key principles of data science. </li> <li>Demonstrated comprehensive knowledge in planning, transforming, analyzing, interpreting, and reporting data in complex situations that represent new challenges and for which project and therapeutic knowledge is not given. </li> <li>Excellent knowledge of statistical methodology, design of clinical trials or clinical experiments, basic medical terminology and on processing clinical trial information. </li> <li>Advanced understanding of cutting-edge statistical concepts related to Data Science. </li> <li>Comprehensive working knowledge of a broad variety of aspects of relevant software languages. </li> <li>Mindful of local, global, internal and external cultures to ensure that messages are received positively and effectively. </li> <li>Ability to lead and facilitate meetings. </li> <li>Ability to develop and deliver training related to data science topics. </li> <li>Evidence of strong teamwork, also in global and remote context. </li> <li>Good interpersonal skills with the ability to interact effectively with people, internally and externally (e.g. CROs, experts, management). </li> <li>Ability to pro-actively identify issues and solutions and to interact with internal and external bodies on routine data science issues. </li> <li>Language skills: English: fluent (Read/Write/Speak). </li> <li>Know, understand, and implement: <ul> <li>International regulations and guidelines for good clinical and statistical practice from all ICH regions, </li> <li>The various international guidelines on clinical development, including statistical methodology, for TA-related disease areas, and </li> <li>BI processes and SOPs that govern clinical development in particular with respect to strategic areas (e.g. Clinical Development Plan). </li>  </ul>  </li>  </ul> <h3>Compensation </h3> <p>This position offers a base salary typically between $135,000 and $232,000. The position may be eligible for a role specific variable or performance based bonus and or other compensation elements. For an overview of our benefits please click here. </p>#J-18808-Ljbffr

<p><p><p>Supports the clinical drug research and development process by providing strategic planning and execution, including data transformation and all aspects of descriptive, diagnostic, predictive and prescriptive analytics of data related to clinical projects like actual trial data, registries and real-world data bases. In particular, this includes the provision of analytics tools, outputs and inference as necessary for the specific use case. May act as a BDS product owner up to substance/asset level. Represent BDS at a substance/asset level regarding data science related aspects. As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, diversity and inclusion, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees. </p> </p><p><p><h3><b>Duties & Responsibilities  </b> </h3> </p><p><ul><li>Lead and oversee designing, transforming, analyzing and reporting complex phase I-IV clinical trials or projects with established BI experience and supporting complex international R&D projects. </li><li>Lead and oversee for designing, transforming, analyzing and reporting of other data from research and development like registries and real-world data bases with respect to a specific use case or project/asset. </li><li>Keep abreast of data science within and outside BI. Turn derived insights into new data science approaches relevant for clinical development, registration, and marketing of drugs. </li><li>Present compelling validated stories regarding complex data science aspects to BDS colleagues and other professionals within and outside of BI. </li><li>Ensure data transformation and analysis specifications to ensure completeness, correctness and adherence to department guidelines and SOPs as well as to applicable GxP requirements. </li><li>Guide and/or lead other colleagues, internal and external customers and external providers on data science related tasks. </li><li>Participate in cross-functional BI internal working-groups or lead cross-functional human pharma internal working-groups and drive/plan relevant data science aspects. Participate in external working groups. </li><li>If applicable, support the clinical drug development process as a BDS Product Owner up to the level of substance/assets. </li><li>Ensure cross-functional and team-based working within BDS and with other units at BI. Fulfill tasks of other functions as needed and possible. Contribute to cross-functional- and team-based thinking. </li><li>Support fostering innovative digital approaches to produce sophisticated, intelligent optimization solutions, innovative processes and predictive models. </li> </ul> </p> </p><p><p><h3><b>Requirements  </b> </h3> </p><p><ul><li>Bachelor of Science (BSc) from an accredited institution in Statistics, Mathematics, Computer Science or related field (Psychology, Data Science, Finance, etc.), with a minimum seven (7) years of data science experience; Or </li><li>Master of Science (MSc) from an accredited institution in Statistics, Mathematics, Computer Science or related field (Psychology, Data Science, Finance, etc.), with six (6) years of experience within the pharmaceutical industry, CROs, regulatory authorities or academic institutions; Or </li><li>Doctoral Degree (PhD) from an accredited institution in Statistics, Mathematics, Computer Science or related field (Psychology, Data Science, Finance, etc.), with three (3) years of experience within the pharmaceutical industry, CROs, regulatory authorities or academic institutions. </li><li>Working experience might be partially compensated by broad and deep topic-specific knowledge. </li><li>Broad knowledge and advanced experience in software languages relevant for business needs. </li><li>Broad knowledge and advanced experience in understanding of clinical trial development process required. </li><li>Advanced project lead experience required. </li><li>Understanding and applying key principles of data science. </li><li>In-depth understanding of advanced statistical concepts related to Data Science. </li><li>Demonstrated broad knowledge in planning, transforming, analyzing, interpreting, and reporting data in complex clinical trials, in projects with established BI experience or data from other sources in clinical research and development. </li><li>Thorough knowledge of statistical methodology, design of clinical trials or clinical experiments, basic medical terminology and on processing clinical trial information. </li><li>Advanced working knowledge of a broad variety of aspects of relevant software languages. </li><li>Mindful of local, global, internal and external cultures to ensure that messages are received positively and effectively. </li><li>Ability to lead and facilitate meetings. </li><li>Ability to develop and deliver training related to data science topics. </li><li>Evidence of strong teamwork, also in global and remote context. </li><li>Good interpersonal skills with the ability to interact effectively with people, internally and externally (e.g. CROs, experts, management). </li><li>Ability to pro-actively identify issues and solutions and to interact with internal and external bodies on routine data science issues. </li><li>Language skills: English: fluent (Read/Write/Speak). </li><li>Know, understand, and implement:       <ul><li>International regulations and guidelines for good clinical and statistical practice from all ICH regions, </li><li>The various international guidelines on clinical development, including statistical methodology, for TA-related disease areas, and </li><li>BI processes and SOPs that govern clinical development in particular with respect to strategic areas (e.g. Clinical Development Plan). </li> </ul> </li> </ul> </p> </p><p><p><h3><b>Compensation </b> </h3> </p><p><p><b>Eligibility Requirements  </b> </p><ul><li>Must be legally authorized to work in the United States without restriction. </li><li>Must be willing to take a drug test and post-offer physical (if required). </li><li>Must be 18 years of age or older. </li> </ul> </p> </p> </p>#J-18808-Ljbffr

<p>Description Supports the clinical drug research and development process by providing strategic planning and execution, including data transformation and all aspects of descriptive, diagnostic, predictive and prescriptive analytics of data related to clinical projects like actual trial data, registries and real-world data bases. In particular this includes the provision of analytics tools, outputs and inference as necessary for the specific use case. May act as a BDS product owner up to substance/asset level. Represent BDS at a substance/asset level regarding data science related aspects. As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, diversity and inclusion, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees. </p><h3>Duties & Responsibilities </h3><ul><li>Lead and oversee designing, transforming, analyzing and reporting complex phase I-IV clinical trials or projects with established BI experience and supporting complex international R&D projects. </li><li>Lead and oversee for designing, transforming, analyzing and reporting of other data from research and development like registries and real-world data bases with respect to a specific use case or project/asset. </li><li>Keep abreast of data science within and outside BI. Turn derived insights into new data science approaches relevant for clinical development, registration, and marketing of drugs. </li><li>Present compelling validated stories regarding complex data science aspects to BDS colleagues and other professionals within and outside of BI. </li><li>Ensure data transformation and analysis specifications to ensure completeness, correctness and adherence to department guidelines and SOPs as well as to applicable GxP requirements. </li><li>Guide and/or lead other colleagues, internal and external customers and external providers on data science related tasks. </li><li>Participate in cross-functional BI internal working-groups or lead cross-functional human pharma internal working-groups and drive/plan relevant data science aspects. Participate in external working groups. </li><li>If applicable, supports the clinical drug development process as a BDS Product Owner up to the level of substance/assets. </li><li>Ensures cross-functional and team-based working within BDS and with other units at BI. Fulfils tasks of other functions as needed and possible. Contributes to cross-functional- and team-based thinking. </li><li>Support fostering innovative digital approaches to produce sophisticated, intelligent optimization solutions, innovative processes and predictive models. </li> </ul><h3>Requirements </h3><ul><li>Bachelor of Science (BSc) from an accredited institution in Statistics, Mathematics, Computer Science or related field (Psychology, Data Science, Finance, etc.), with a minimum seven (7) years of data science experience; Or </li><li>Master of Science (MSc) from an accredited institution in Statistics, Mathematics, Computer Science or related field (Psychology, Data Science, Finance, etc.), with six (6) years of experience within the pharmaceutical industry, CROs, regulatory authorities or academic institutions; Or </li><li>Doctoral Degree (PhD) from an accredited institution in Statistics, Mathematics, Computer Science or related field (Psychology, Data Science, Finance, etc.), with three (3) years of experience within the pharmaceutical industry, CROs, regulatory authorities or academic institutions. </li><li>Working experience might be partially compensated by broad and deep topic-specific knowledge. </li><li>Broad knowledge and advanced experience in software languages relevant for business needs. </li><li>Broad knowledge and advanced experience in understanding of clinical trial development process required. </li><li>Advanced project lead experience required. </li><li>Understanding and applying key principles of data science. </li><li>In-depth understanding of advanced statistical concepts related to Data Science. </li><li>Demonstrated broad knowledge in planning, transforming, analyzing, interpreting, and reporting data in complex clinical trials, in projects with established BI experience or data from other sources in clinical research and development. </li><li>Thorough knowledge of statistical methodology, design of clinical trials or clinical experiments, basic medical terminology and on processing clinical trial information. </li><li>Advanced working knowledge of a broad variety of aspects of relevant software languages. </li><li>Mindful of local, global, internal and external cultures to ensure that messages are received positively and effectively. </li><li>Ability to lead and facilitate meetings. </li><li>Ability to develop and deliver training related to data science topics. </li><li>Evidence of strong teamwork, also in global and remote context. </li><li>Good interpersonal skills with the ability to interact effectively with people, internally and externally (e.g. CROs, experts, management). </li><li>Ability to pro-actively identify issues and solutions and to interact with internal and external bodies on routine data science issues. </li><li>Language skills: English: fluent (Read/Write/Speak). </li><li>Know, understand, and implement: </li><ul><li>International regulations and guidelines for good clinical and statistical practice from all ICH regions, </li><li>The various international guidelines on clinical development, including statistical methodology, for TA-related disease areas, and </li><li>BI processes and SOPs that govern clinical development in particular with respect to strategic areas (e.g. Clinical Development Plan). </li> </ul> </ul><h3>Compensation </h3><p>This position offers a base salary typically between $135,000 and $232,000. The position may be eligible for a role specific variable or performance based bonus and or other compensation elements. For an overview of our benefits please click here. </p><h3>Eligibility Requirements </h3><ul><li>Must be legally authorized to work in the United States without restriction. </li><li>Must be willing to take a drug test and post-offer physical (if required). </li><li>Must be 18 years of age or older. </li> </ul>PDN-9d24c3a9-61be-4cf1-853f-a6fd9a419f82 #J-18808-Ljbffr

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