Data Scientist, Product Development Strategy

3 weeks ago

New Brunswick, United States CareerBuilder Full time

We are an EasyHiring recruiting company that is looking for candidates for our partners for the position of Data Scientist, Product Development Strategy in New Jersey - New Brunswick for work in New Brunswick - NJ.
Business Unit Overview
Product Development (PD) at is committed to accelerating CMC development to launch through strategic investments in novel development and manufacturing platforms, new development playbooks, and advancing innovation though modeling, AI/ML, and automation.
These specific strategic investments are known as our Development Excellence strategy. As part of this organization, the Product Development Strategy group is accountable for developing a holistic Product Development digital and modeling strategy and its global integration and implementation.
Position Summary
We are seeking a highly motivated data scientist to join the Modeling and Digital Strategy group within Product Development. In this role, the data scientist will be responsible for developing and optimizing predictive models across a range of use cases focusing on accelerating process development.
The role will participate in highly visible and agile cross functional teams with scope spanning the digital and modeling space, and will collaborate closely with partners within PD such as drug substance, drug product and analytical functions as well as with business partners such as IT. This role will report to the Senior Director, Product Development Strategy.
Key Responsibilities
Collaborates with PD function data science experts to build predictive models and use cases to enable development portfolio acceleration
Leverage advanced data analytics, multivariate analysis, first principle concepts, etc. to analyze big datasets, draw insights, and recommend proactive actions
Owns the use case development for modeling transformations along with the Data Engineers to drive impact
Collaborates with business partners to develop novel ways to meet objectives utilizing cutting edge techniques and tools
Effectively communicate the analytics approach and how it will meet and address objectives to business partners
Advocate and educate on the value of data driven decision making focusing on the how and why of solving problems
Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources
Share your passion for Data Science with broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards.
Stay connected with external sources of ideas through conferences and community engagements
Qualifications & Experience
Minimum Qualifications
Ph.D. in engineering, pharmaceutical science, chemistry, biochemistry, physics or other quantitative area of study with 0-3 years of experience; M.S in engineering, pharmaceutical science, chemistry, biochemistry, physics or other quantitative area of study with 3-5 years of experience; or B.S. in engineering, pharmaceutical science, chemistry, biochemistry, physics or other quantitative area of study with more than 5 years of experience.
2+ years hands-on working in the area of data science, data analytics, data integration, reporting.
2+ years of hands-on experience with data science and analytics, modeling platforms, data engineering software and visualization tools (e.g. Advanced SQL, PL/SQL, R, Python, SAP HANA, Spotfire, Tableau, Hadoop, Redshift)
Scientific background in life sciences or engineering and demonstrated expertise in one or more of the following areas: data analytics, data visualization, statistics, machine learning, predictive modeling, decision analysis under uncertainty, artificial intelligence, Python and/or R, app development, and Tableau dashboard development
Experience building predictive models and use cases for pharmaceutical processes and exposure to process development topics (e.g., development process, standard unit operations)
Experience
Knowledge of Big Data technologies such as Cloud AI platforms is preferred
Experience in model deployment and maintenance is preferred
Excellent interpersonal, collaborative, team-building, and communication skills to ensure effective collaborations within matrix teams.
Exceptional project management skills with demonstrated ability to lead multiple projects and priorities.
Exceptional analytical skills with substantial knowledge of data analysis & data engineering.
Exceptional written and verbal communication skills.
Ability to quickly gain and apply functional area specific knowledge.
Ability to learn new tools and skills quickly.
Experience working in the pharmaceutical development
Experience interpreting analytical results and ascertaining implications to the business.
Experience interacting with business stakeholders: understanding, anticipating, and fulfilling their insight/analytical information requirements.
Exceptional creative problem solving skills to answer key business questions.
Ability to work with diverse teams across organizational lines and structures.
Job Type: Full-time
Experience level:
2 years
3 years
4 years
Work Location: In person

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