Lead Scientific Solutions Analyst

Tarrytown, NY
Oct 19, 2019
Required Education
Position Type
Full time
Known for its scientific and operational excellence, Regeneron is a leading science-based biopharmaceutical company that discovers, invents, develops, manufactures, and commercializes medicines for the treatment of serious medical conditions. Regeneron commercializes medicines for eye diseases, high LDL-cholesterol, atopic dermatitis and a rare inflammatory condition and has product candidates in development in other areas of high unmet medical need, including rheumatoid arthritis, asthma, pain, cancer and infectious diseases.

The role of the Lead Scientific Solutions Analyst is to broadly manage the day-to-day delivery of the scientific business analysis function across a set of business areas. This includes coordinating the efforts of the scientific solutions analysts across multiple projects, developing internal scientific solutions analyst staff, and participation in project discussions and activities to ensure quality, accuracy, and consistency of business analysis deliverables and scientific strategy.
This role may also provide functional and technical mapping and project execution support for functional data systems, manage requirements from inception through training and enhancements/lifecycle of systems and integration planning. Provide internal technology expertise to key business functions, focusing on data capture, processing, reporting, analysis, and visualization and reporting tools (e.g. Qlik, Spotfire, Tableau) to drive technology use and investment forward in a strategic manner.


• Manage a team of Scientific Solutions Analysts who work to define and deliver appropriate technological solutions to enable scientific discovery

• Work with Business Relationship managers and project managers to adequately staff projects with Scientific Solutions Analysts

• Review deliverables from the scientific solutions analysts to ensure completeness, quality, consistency, accuracy, and adherence to scientific strategy.

• Coordinate scientific solutions analyst activities across projects to maximize re-use and synergy between similar initiatives as appropriate.

• Develop scientific solutions analyst staff to improve business analysis, scientific, and technical skills and knowledge.

Business Technology Planning

• Support R&D-IT Business Relationship Managers and scientific leadership to Identify gaps in existing processes, determine disposition (major project, small project, enhancement) and provide recommendations for future process & technology improvements

• Build and maintain relationships with assigned customers

• Develop and continually strengthen deep knowledge of business and business processes for assigned areas

• Define business requirements, identify trends and gaps with existing processes, and recommend projects as input into the annual planning process

• Act as a workstream lead to ensure plans for data management, maintenance and reporting meet business requirements now and for the future

Business Technology Execution

• Elicit requirements for complex projects and enhancements using interviews, document analysis, requirements workshops, surveys, site visits, business process descriptions, use cases, scenarios, user stories, process models, activity diagrams and workflow analysis, etc

• Understanding and ability to manage projects using both waterfall / traditional as well as different types of agile methodologies such as Kanban and Scrum

• Proactively communicate and collaborate with external and internal customers to analyze information needs and functional requirements and deliver artifacts as required by the project methodology

• Works with vendors to ensure reports, data integration and designs are efficient, scalable and contemporary

• Provide support to IT leaders in developing business benefits analysis and estimates for area of responsibility (business requirements, functional design, business processes, UAT)

• Translates requirements and processes into functional and technical data designs

• Leads user acceptance testing for data workstreams across multiple functional departments areas of support (e.g. business data integration)

• Serve as the conduit between the internal functional owner of data sources and the software development team(s) through which requirements flow and are designed, built and tested

• Provides creative solutions to data challenges, working closely with enterprise and IT teams in this space

• Ensure conceptual, functional, and technical designs will meet functional and non-functional requirements for projects and enhancements

• Support end-user technology training and communications


• Knowledge of state-of-the art technologies and approaches to support drug discovery programs

• Hands-on experience with in vivo animal study design, results capture, and analysis of in vivo data.

• Experience with in vivo animal phenotyping, mechanism, or therapeutic candidate screening experiments in animal disease models.

• Experience and understanding of statistical approaches to experimental design and data analysis of in vivo studies

• Strong ability to collaborate with business functional leaders, across all levels in the business supported organization and with technologists, to define business processes, analyze operational efficiencies, implement creative solutions and measure delivery results

• Experience with critical functional data and managment processes, including data integration

• Experience implementing and managing Qlik and Spotfire, or other visualization tools

• Collaborative, agile mindset to drive speedy, creative and efficient use of technology and data to drive business value across IT

• 8 years of relevant business experience, including 5-6 years data, business analyst or relevant IT project execution role. Experience leading midsize-large projects.

• Project management skills & managing master data experience a plus

• Ability to creatively and constructively challenge designs to ensure simpilicty and supportability

• Ability to analyze and document complex data management processes

• Ability to synthesize and abstract a common solution across several separate, but related workflows

• Six Sigma, CBAP, and/or PBA certification a plus

• Create traceability matrices, test cases and test plans

• Elicit, gather, capture, analyze, document and refine requirements using JIRA and Confluence tools

• Experience managing a team in pharmaceutical research, businesss analysis, or life sciences.

Preferred Background (one or more of the following):

• Graduate degree in a life science-related discipline

• Experience with in vivo imaging experiments

• Life science laboratory research experience in a pharmaceutical or academic setting

• Experience with plate-based in vitro therapeutic candidate screening

• Experience with cell and molecular biology laboratory techniques and/or cell culture

• Knowledge of and/or experience with the pharmaceutical drug discovery process

• Understanding of relational and/or noSQL database concepts

• Experience using or working with commercial LIMS, ELN, image analysis, data visualization, and/or SDMS software

• Familiarity with small molecule and/or biologics registration systems
This is an opportunity to join our select team that is already leading the way in the Pharmaceutical/Biotech industry. Apply today and learn more about Regeneron's unwavering commitment to combining good science & good business.


To all agencies: Please, no phone calls or emails to any employee of Regeneron about this opening. All resumes submitted by search firms/employment agencies to any employee at Regeneron via-email, the internet or in any form and/or method will be deemed the sole property of Regeneron, unless such search firms/employment agencies were engaged by Regeneron for this position and a valid agreement with Regeneron is in place. In the event a candidate who was submitted outside of the Regeneron agency engagement process is hired, no fee or payment of any kind will be paid.

Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law.