Job Description: Data Integrator
Onsite--New Brunswick, Local Candidates Only please
Work Schedule: Mon - Fri, Business Hours
Product Development (PD) at Client is committed to accelerating CMC development to launch through strategic investments in Client development and manufacturing platforms, new development playbooks, and advancing innovation though modeling, AI/Client, 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 digital and modeling strategy and its global integration and implementation.
We are seeking a highly motivated scientist to join the Modeling and Digital Strategy group as a data integrator. In this role, the data integrator will be responsible for collecting and curating data for use in 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. They 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 Sr Director, Product Development Strategy.
Responsibilities
•Collect and curate data from multiple sources including electronic notebooks, spreadsheets, slide decks, and
instrument files
•Ensure data quality, consistency, and completeness across different data sets
•Apply data standards, ontologies, and metadata to facilitate data integration and analysis
•Support data discovery, access, and sharing across the organization
•Collaborate with scientists and engineers to identify data sources and locations, understand data requirements and
challenges, and provide data solutions
•Communicate and translate between life science experts and data engineers
Qualifications
•Bachelor's degree or higher in a relevant field such as chemical engineering, life sciences, data science, or computer
science
•At least 2 years of experience in process development or data analysis in the pharmaceutical industry or a related
domain
•Familiar with data standards, ontologies, and metadata for pharmaceutical process development data
•Excellent communication and interpersonal skills to work effectively with diverse stakeholders
•Strong problem-solving and analytical skills to handle complex and large-scale data challenges
•Self-motivated and proactive to learn new skills and technologies
Additional Job Requirements:
None
Employee Benefits:
At LanceSoft, full time regular employees who work a minimum of 30 hours a week or more are entitled to the following benefits. (To be bought)- Four options of Medical Insurance
- Dental and Vision Insurance
- 401k Contributions
- Critical Illness Insurance
- Voluntary Permanent Life Insurance
- Accident Insurance
- Other Employee Perks
About LanceSoft
LanceSoft is rated as one of the largest staffing firms in the US by SIA. Our mission is to establish global cross-culture human connections that further the careers of our employees and strengthen the businesses of our clients. We are driven to use the power of our global network to connect businesses with the right people, and people with the right businesses without bias. We provide Global Workforce Solutions with a human touch.
EEO Employer
LanceSoft is a certified Minority Business Enterprise (MBE) and an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.
This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. LanceSoft makes hiring decisions based solely on qualifications, merit, and business needs at the time