Injectable Aesthetics, Dermo-cosmetics, and Therapeutic Dermatology. Since our foundation in 1981, we have dedicated our focus and passion to the human body's largest organ - the skin - meeting individual consumer and patient needs with superior outcomes in partnership with healthcare professionals.
Because we understand that the skin we're in shapes our lives, we are advancing dermatology for every skin story. We look for people who focus on getting results, embrace learning and bring a positive energy. They must combine initiative with a sense of teamwork and collaboration. Above all, they must be passionate about doing something meaningful for consumers, patients, and the healthcare
professionals we serve every day. We aim to empower each employee and promote their personal growth while ensuring business needs are met now and into the future. Across our company, we embrace diversity and respect the dignity, privacy, and personal rights of every employee.
At Galderma, we actively give our teams reasons to believe in our bold ambition to become the leading dermatology company in the world. With us, you have the ultimate opportunity to gain new and challenging work experiences and create an unparalleled, direct impact. Title: Medical Science Liaison - RXLocation: Northeast US (NYC or Boston)Galderma Medical Science Liaison serves as an internal expert to support the
U. S. Aesthetic, Prescription and Consumer Business Unit. The MSL develops and maintains professional relationships with internal and external customers both physicians and extenders to provide comprehensive medical and scientific support to Galderma initiatives in assigned areas of interest.
The MSL will focus on providing healthcare practitioners, clinical investigators and professional organizations the opportunity for scientific exchange and gathering insights in order to provide medical and scientific support for prioritized services and products within Galderma's portfolio. Key Responsibilities Drive Regional, National, and International External Expert and Influencer identification, development, and support across four core specialties.
Prepare external engagement plans Interact with External Academic and Clinical Experts as well as Social Media Influencers to understand customer needs, identify scientific gaps and trends, opportunities for clinical trials, business development, etc. Identify new clinical investigators especially those underrepresented currently and recommend placement into Galderma sponsored clinical trials Liaise with investigators submitting research proposals consistent with our product development strategies and help facilitate the Investigator-Initiated Trial (IIT) process Act as an internal scientific expert for Galderma products and areas of interest " Bringing the Science to life" for Internal and External Audiences, including training external speakers on content for promotional events sales force training and at advisory boards Attend congresses, engage with external stakeholders, stay current in relevant scientific literature, track Influencers on social media, prepare summaries, and present key perspectives to Galderma teams including competitor analyses Support Galderma research by identifying investigators, undertaking scientific exchange and providing feedback and insight to medical and clinical teams Respond to unsolicited requests for medical and scientific information Utilize Modern technology platforms to maximize efficiency and effectiveness and limit travel requirements Ensure the integrity of the scientific data used in promotional claims and materials, if requested Other duties as assigned by management Skills and Qualifications Medical Doctor or advanced degree required (MD, Ph D, Pharm D) Minimum of 2-5 years related medical, regulatory affairs and/or research and development experience in the medical, biotechnology, medical devices industry Experience in Dermatology, Required Ability to interface effectively with a variety of technical platforms Solid understanding of FDA, OIG, HIPAA, and other US regulatory Ability to think strategically to guide publication-related activities in accordance with industry standards and good publication practices Ability to function in a team-oriented (matrix) environment Demonstrated ability to organize, prioritize, and work effectively in a high-pressure, constantly changing environment Ability to develop good relationships and credibility with medical professionals Travel up to 70% may be required What we offer in return You will be working for an organization that embraces diversity & inclusion and believe we will deliver better outcomes by reflecting the perspectives of our diverse customer base.
You will also have access to a range of company benefits, including a competitive wage with shift differential, annual bonus opportunities and career advancement and cross-training. Next Steps If your profile is a match, we will invite you for a first virtual conversation with the recruiter. The next step is a virtual conversation with the hiring manager The final step is a panel conversation with the extended team Our people make a difference At Galderma, you'll work with people who are like you.
And people that are different. We value what every member of our team brings. Professionalism, collaboration, and a friendly, supportive ethos is the perfect environment for people to thrive and excel in what they do. Employer's Rights: This job description does not list all the duties of the job. You may be asked by your supervisors or managers to perform other duties. You will be evaluated in part based on your performance of the tasks listed in this job description.
The employer has the right to revise this job description at any time. This job description is not an employment contract, and either you or the employer may terminate employment at any time, for any reason. In addition, reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.
and professionally through various resources and programs. New York Life is a relationship-based company and appreciates how both virtual and in-person interactions support our culture. The Center for Data Science and Artificial Intelligence (CDSAi) is the 70-person innovative corporate Analytics group within New York Life.
We are a rapidly growing entrepreneurial department which designs, creates, and offers innovative data-driven solutions for many parts of the enterprise. For more information on CDSAi, please visit our website (/careers/corporate/data-science). We have the freedom to explore external data sources and new statistical techniques and are excited about delivering a whole
new generation of predictive analytics and artificial intelligence solutions. In the 7 years of the existence of CDSAi we have built a lot of predictive modeling solutions that are being used by various areas in the company.
We have also stood up a modern model deployment platform that allows our models to be accessed in real time or batch (via APIs) from any production system in the company. In addition to several data science teams, CDSAi has a dedicated ML Ops team (for all infrastructure, data and model deployments), our own project management office, a model governance team, a development team (training, internships, media, events, other internal and external branding) and data science
product managers. CDSAi closely supports core business areas such as Underwriting, Marketing, Sales, Finance and Service.
This specific role is focused on building out the data science support function for the Strategic Businesses, which include: Group businesses (group benefits and group membership) Institutional businesses (annuities and life) Insurance business in Mexico The data scientist who fills this role will benefit from both the stability and support of being on an established data science team AND the exciting challenge of building out a new analytics area. The role reports to Mary M. Louie ( /in/mary-louie-a25706125/ ), who currently leads the Strategic Businesses (SBs) Data Science team.
A good understanding of predictive analytics (including the process of building and deploying models) and technology is essential. Examples of SB Data Science products are below. There are several additional ones, and more products will follow. Mortality assumptions modeling in support of Pension Risk Transfers Group disability claims scoring and triaging. Forecasting productivity for agents While this position requires expert-level familiarity with regular statistical predictive modeling methodologies and practice, the data scientist will also have opportunities to work on generative AI projects and initiatives.
NYL’s CEO has expressed that he wants the company to be a leader in generative AI in our industry. This role will have the opportunity to help build out that vision. Responsibilities Managing various stakeholders at the same level during solution design and project execution to successfully create solutions and deploy them into full production. Independently leads and contributes to data analysis and modeling projects from project/sample design, business review meetings with internal and external clients deriving requirements/deliverables, reception and processing of data, performing analyses and modeling to final reports/presentations, communication of results and implementation support.
Demonstrates to internal and external stakeholders how analytics can be implemented to maximize business benefits. Provides technical support, which includes strategic consulting, needs backssments, project scoping and the preparation/presentation of analytical proposals. Utilizes advanced statistical/AI techniques to create high-performing predictive models and other solutions to address business objectives and client needs. Tests new statistical and machine learning methods, software and data sources for continual improvement of quantitative solutions.
Implements analytical models into production by collaborating with technology and ML Ops teams. Utilizes data visualization tools for model testing, modeling results and data patterns exhibition. Design performance metrics for model selection and performance monitoring. Utilizes data wrangling/data matching/ETL techniques while programming in several languages to explore a variety of data sources, gain data expertise, perform summary analyses and prepare modeling datasets.
Deploys analytical solution in production systems. Works closely with the business areas, IT, Legal, Government relations and several other groups in designing, building, and implementing these solutions. Evangelizes the use of data-based decision making and Analytics within New York Life. Proactively and effectively communicates in various verbal and written formats with internal stakeholders on product design, data specification, model implementations, with partners on collaboration ideas and specifics, with internal clients and stakeholders on project/test results, opportunities, questions.
Resolves problems and removes obstacles to timely and high-quality project completion. Works collaboratively with project and product managers within CDSAi and on other teams. Supports and helps build a generative AI practice within CDSAi. Supports internal events, expos, lunch & learns, etc. with displays and presentations. Follows industry trends in insurance and related data/analytics processes and businesses. Functions as the analytics expert in meetings with other internal areas and external vendors. Contributes ideas and actively participates in proof-of-concept tests of new processes and technologies.
Stays up to date on existing and proposed legislation and regulation (on federal and state level) that impact AI in underwriting. Assures compliance with regulatory and privacy requirements during design and implementation of modeling and analysis projects. Travels to events and vendor meetings as needed (
