This job posting may have expired!
Use our `search` to find similar offers.
Similar jobs

Data Scientist

Pharmaceutical Product Development (PPD)

NC-Wilmington-Wilmington NC HQ

About PPD:

We are vital links between an idea for a new medicine and the people who need it. We are the people of PPD — thousands of employees in locations worldwide connected by tenacity and passion for our purpose: to improve health. You will be joining a truly collaborative and winning culture as we strive to bend the time and cost curve of delivering life-saving therapies to patients.

About the Department:

Our goal-driven teams combine and deliver startup activities for the clinical trials, collaborating to improve processes, cycle and flexibility. We partner with our sites, businesses and colleagues around the world to decrease startup timelines and exceed expectations.

About the Position:

ThisData Scientistopening is embedded in our Site and Patient Access division and executes analytics modeling based on exploratory data analysis through application of statistics, machine learning, programming, data modeling, simulation, and/or mathematics to recognize patterns, identify opportunities, and generate valuable predictive business insights in support of innovative business decisions. Supports organization leadership through data-driven decision validation and support.

About our Culture, Career Advancement and Benefits:

At PPD we hire the best, develop ourselves and each other, and recognize the power of being one team. We offer continued career advancement opportunities, award winning training and benefits focused on the health and well-being of our employees.

Job Description:

Collaborates with cross-functional stakeholders to identify questions and business challenges and determine plans of action in order to learn to effectively define, design, and develop machine learning models and algorithms to derive insights into each problem.

Generates and tests hypotheses and analyzes and interprets the results.

Navigates datasets for data mining, profiling, and curation, and natural language processing (NLP), as well as identifies related data that is fundamental to successfully applying predictive and machine learning techniques.

Participates in the design, development, and programming of methods, processes, and software programs to consolidate, cleanse, and analyze unstructured, diverse data sources to recognize patterns, identify opportunities, and generate actionable business insights and solutions.

Evaluates, and may design or develop predictive models and algorithms that lead to optimal value extraction from the data in order to support business process improvements and solve business challenges.

Identifies meaningful insights from large data and metadata sources in support of continuous improvement efforts and business process upgrades through exploratory data analysis.

Effectively communicates and guides stakeholders through the machine learning process; Interprets and communicates findings and solutions from analysis and experiments to a broad audience, including business leadership.

About PPD:

We are vital links between an idea for a new medicine and the people who need it. We are the people of PPD — thousands of employees in locations worldwide connected by tenacity and passion for our purpose: to improve health. You will be joining a truly collaborative and winning culture as we strive to bend the time and cost curve of delivering life-saving therapies to patients.

About the Department:

Our goal-driven teams combine and deliver startup activities for the clinical trials, collaborating to improve processes, cycle and flexibility. We partner with our sites, businesses and colleagues around the world to decrease startup timelines and exceed expectations.

About the Position:

ThisData Scientistopening is embedded in our Site and Patient Access division and executes analytics modeling based on exploratory data analysis through application of statistics, machine learning, programming, data modeling, simulation, and/or mathematics to recognize patterns, identify opportunities, and generate valuable predictive business insights in support of innovative business decisions. Supports organization leadership through data-driven decision validation and support.

About our Culture, Career Advancement and Benefits:

At PPD we hire the best, develop ourselves and each other, and recognize the power of being one team. We offer continued career advancement opportunities, award winning training and benefits focused on the health and well-being of our employees.

Job Description:

Collaborates with cross-functional stakeholders to identify questions and business challenges and determine plans of action in order to learn to effectively define, design, and develop machine learning models and algorithms to derive insights into each problem.

Generates and tests hypotheses and analyzes and interprets the results.

Navigates datasets for data mining, profiling, and curation, and natural language processing (NLP), as well as identifies related data that is fundamental to successfully applying predictive and machine learning techniques.

Participates in the design, development, and programming of methods, processes, and software programs to consolidate, cleanse, and analyze unstructured, diverse data sources to recognize patterns, identify opportunities, and generate actionable business insights and solutions.

Evaluates, and may design or develop predictive models and algorithms that lead to optimal value extraction from the data in order to support business process improvements and solve business challenges.

Identifies meaningful insights from large data and metadata sources in support of continuous improvement efforts and business process upgrades through exploratory data analysis.

Effectively communicates and guides stakeholders through the machine learning process; Interprets and communicates findings and solutions from analysis and experiments to a broad audience, including business leadership.

Education and Experience:

Bachelor's degree or equivalent and relevant formal academic / vocational qualification

Previous experience that provides the knowledge, skills, and abilities to perform the job (comparable to 2 years).

Knowledge, Skills and Abilities:

Solid working knowledge of application of statistics, programming, data modeling, simulation, and advanced mathematics to business questions for data analysis

Basic skills with exploratory data analysis techniques involving structured and unstructured data, machine learning (e.g. decision trees, neural networks, clustering, classification, Bayesian networks), model validation techniques, and data visualization techniques

Solid knowledge in one or more of the following technical areas: Snowflake, AWS EMR, Python, Spark, R, Shiny, jupyter, and associated packages and libraries from numpy, pandas, SciPy or NLTK

Knowledge of and exposure to cloud architectures across NoSQL, lambda functions, kafka, sagemaker, tensorflow, etc.

Proficiency with the following data science approaches: data engineering, pipelining and wrangling tools, data visualization and modeling tools, and mathematical approaches to imperfect data

Firm knowledge of data management approaches such as relational databases, data schemas, object stores, column stores, triple stores, graph stores, and/or document stores

Capable of delivering accurate work products in a cross-functional matrix environment spanning data warehousing, data modeling, and data analytics while managing multiple competing priorities

Sound analytical skills and demonstrated proficiency in developing detailed analysis, models, plan calculations, and tools

Solid executive presence with ability to communicate effectively and influence at all levels

Demonstrated creativity in identifying non-traditional data sources in addition to rigorous application of leading analytic techniques

Management Role:

No management responsibility

PPD values the health and well-being of our employees. We support and encourage individuals to create a healthy and balanced environment where they can thrive. Below is listed the working environment/requirements for this role:

Able to communicate, receive, and understand information and ideas with diverse groups of people in a comprehensible and reasonable manner.

Able to work upright and stationary for typical working hours.

Ability to use and learn standard office equipment and technology with proficiency.

Able to perform successfully under pressure while prioritizing and handling multiple projects or activities.

May require minimal as-needed travel (under 10%)

PPD Defining Principles:

- We have a strong will to win - We earn our customer’s trust - We are game changers - We do the right thing - We are one PPD

If you resonate with our five principles above, and ultimately wish to accelerate the delivery of safe and effective therapeutics for some of the world’s most urgent health needs, then please submit your application – we’d love to hear from you.Education and Experience:

Bachelor's degree or equivalent and relevant formal academic / vocational qualification

Previous experience that provides the knowledge, skills, and abilities to perform the job (comparable to 2 years).

Knowledge, Skills and Abilities:

Solid working knowledge of application of statistics, programming, data modeling, simulation, and advanced mathematics to business questions for data analysis

Basic skills with exploratory data analysis techniques involving structured and unstructured data, machine learning (e.g. decision trees, neural networks, clustering, classification, Bayesian networks), model validation techniques, and data visualization techniques

Solid knowledge in one or more of the following technical areas: Snowflake, AWS EMR, Python, Spark, R, Shiny, jupyter, and associated packages and libraries from numpy, pandas, SciPy or NLTK

Knowledge of and exposure to cloud architectures across NoSQL, lambda functions, kafka, sagemaker, tensorflow, etc.

Proficiency with the following data science approaches: data engineering, pipelining and wrangling tools, data visualization and modeling tools, and mathematical approaches to imperfect data

Firm knowledge of data management approaches such as relational databases, data schemas, object stores, column stores, triple stores, graph stores, and/or document stores

Capable of delivering accurate work products in a cross-functional matrix environment spanning data warehousing, data modeling, and data analytics while managing multiple competing priorities

Sound analytical skills and demonstrated proficiency in developing detailed analysis, models, plan calculations, and tools

Solid executive presence with ability to communicate effectively and influence at all levels

Demonstrated creativity in identifying non-traditional data sources in addition to rigorous application of leading analytic techniques

Management Role:

No management responsibility

PPD values the health and well-being of our employees. We support and encourage individuals to create a healthy and balanced environment where they can thrive. Below is listed the working environment/requirements for this role:

Able to communicate, receive, and understand information and ideas with diverse groups of people in a comprehensible and reasonable manner.

Able to work upright and stationary for typical working hours.

Ability to use and learn standard office equipment and technology with proficiency.

Able to perform successfully under pressure while prioritizing and handling multiple projects or activities.

May require minimal as-needed travel (under 10%)

PPD Defining Principles:

- We have a strong will to win - We earn our customer’s trust - We are game changers - We do the right thing - We are one PPD

If you resonate with our five principles above, and ultimately wish to accelerate the delivery of safe and effective therapeutics for some of the world’s most urgent health needs, then please submit your application – we’d love to hear from you.

Job posted: 2020-09-10

3
Subscribe