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Genmab

(Senior) Data Scientist, Enabling Functions

Genmab, Princeton, New Jersey, us, 08543


At Genmab, we’re committed to building extraordinary futures together, by developing antibody products and pioneering therapies that change the lives of patients and the future of cancer treatment and serious diseases. From our people who are caring, candid, and impact-driven to our business, which is innovative and rooted in science, we believe that being proudly unique, determined to be our best, and authentic is essential to fulfilling our purpose.The Role

The role of Senior Data Scientist, Enabling Functions (HR, Finance, and Legal) represents a unique opportunity for an individual with a robust quantitative background to leverage their data science expertise in enhancing the operational efficiency and strategic decision-making within Human Resources, Finance, and Legal departments. This position is tailor-made for someone eager to apply advanced analytics to streamline processes, inform policy development, and optimize organizational performance.This role is in Princeton, NJ and is hybrid, requiring living within commuting distance to our Princeton, NJ office.Responsibilities

Strategic Analytics: The individual will be pivotal in consulting across the analytics lifecycle for enabling functions, encompassing data collection, development of key performance indicators (KPIs), predictive modeling, and analytics tailored to HR, Finance, and Legal needs.Innovation and Collaboration: A critical component of this role involves identifying opportunities for leveraging data science to bring about innovation within the enabling functions.Execution and Leadership: The role entails utilizing advanced data manipulation and analysis techniques to provide actionable insights and recommendations.Requirements

Educational and Professional Experience: This position requires a PhD in a quantitative discipline with at least two years of experience in a similar role, or a Master's degree with five years of experience.Technical Proficiency: Expertise in data analysis tools such as Python, R, and SQL is essential, alongside familiarity with cloud services.Communication and Teamwork: Exceptional written and verbal communication skills are a must, as is the ability to effectively present ideas and work collaboratively across different departments.Innovative Problem-Solving: The ability to devise innovative solutions to complex, multifaceted problems is critical.In essence, this role is suited for a data science professional passionate about employing their analytical skills to support and transform the enabling functions within an organization.Compensation

For US-based candidates, the proposed salary band for this position is as follows: $95,625.00---$159,375.00. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience, and location.About You

You are passionate about our purpose and genuinely care about our mission to transform the lives of patients through innovative cancer treatment.You bring rigor and excellence to all that you do.You are a generous collaborator who can work in teams with diverse backgrounds.You are determined to do and be your best and take pride in enabling the best work of others on the team.You are not afraid to grapple with the unknown and be innovative.You have experience working in a fast-growing, dynamic company (or a strong desire to).You work hard and are not afraid to have a little fun while you do so.Locations

Genmab leverages the effectiveness of an agile working environment, when possible, for the betterment of employee work-life balance.About Genmab

Genmab is an international biotechnology company with a core purpose guiding its unstoppable team to strive towards improving the lives of patients through innovative and differentiated antibody therapeutics.Commitment to Diversity

We are committed to fostering workplace diversity at all levels of the company.Genmab is committed to protecting your personal data and privacy. Please see our privacy policy for handling your data in connection with your application on our website.

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