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    Contractor, Real-World Evidence Programmer - Princeton, United States - Genmab

    Genmab
    Genmab Princeton, United States

    2 weeks ago

    Default job background
    Freelance
    Description


    At Genmab, we're committed to building extra[not]ordinary futures together, by developing antibody products and pioneering, knock-your-socks-off 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

    As a member of the CORE - RWE and Epi team, the RWE Programmer will be responsible for execution of RWE studies and communicating study results to internal stakeholders in RWE, building RWE data visualization tools, and support presentation/publication of study results.

    This role will align with the RWE TA lead to conduct timely, relevant and rigorous analysis of RWD to address critical research questions, it requires strong hands-on experience with statistical programming and large healthcare datasets.

    This is a 1-year contract position of 30-40 hours per week. Genmab has a hybrid model that requires being onsite in Princeton, NJ 60% of time.
    Responsibilities
    Extract raw data from servers and conduct statistical analyses based on protocol specifications using real-world data (RWD).
    Work with RWE researchers to develop code lists for new measures, creating data specification files and analytical files by writing and executing programs across our available observational databases
    Conduct quality assurance and code validation, review programming code and data
    Draft analysis reports and support the final publication/presentation of results.
    Develop visualization and automation tools using secondary data sources (Real World Data, Systematic/Targeted Literature Review Data).
    Requirements
    A graduate degree in Epidemiology, Biostatistics, Public Health, Informatics, or another related field.

    At least 3 years of experience in statistical programming in SAS or R, and database programming in SQL or Python, demonstrated proficiency in statistical analysis programs commonly used in life sciences.

    Working experience with data visualization tools for dashboard (R-shiny, Power-BI, Excel, etc.)

    Basic therapeutic area knowledge in oncology (solid tumor and hematology), knowledge of US secondary data sources required, additional experience with international data sources is preferred.

    Experience in observational research study design, execution, and communication, track record of analysis of a broad range of RWD, understanding of epidemiology or outcomes research and the application of retrospective or prospective studies to generate value evidence.

    Agility to work effectively in a fast paced, constantly changing, diverse and matrix environment

    Knowledge in epidemiologic and statistical concepts commonly used in life science, such as confounding, bias, cumulative incidence, incidence rate, regression models, survival analyses, propensity score matching, etc.

    Strong written and verbal communication skills.
    Strong teamwork skills and ability to collaborate well with team members.
    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 fierce believer in our rooted-in-science approach to problem-solving
    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.

    Our offices are designed as open, community-based spaces that work to connect employees while being immersed in our state-of-the-art laboratories.

    Whether you're in one of our collaboratively designed office spaces or working remotely, we thrive on connecting with each other to innovate.

    About Genmab

    Founded in 1999 in Copenhagen, Denmark, Genmab is an innovative biotech company that has become a leader in antibody biology and innovation.

    Our product pipeline and next-generation antibody technologies are the result of our strong company culture, a deep passion for innovation, and desire to transform cancer treatment and serious diseases.

    When you work with us, you'll be part of a warm, fun, dynamic community, and team up with some of the best, most authentic individuals in locations around the world, who care deeply and share in a relentless drive to innovate and create transformational medicines.

    People who are candid, impact-driven, and a little unconventional; who seek out and embrace the opportunity to build new and bold futures within a rapidly growing and innovative biotech company; who bring their full selves to work and show up for each other - rolling up their sleeves to get the job done.

    This translates into a place where you can be authentically you; are empowered to innovate, build solutions, and execute; feel cared for and supported in growth; and are a critical part of changing the lives of patients around the world through transformative cancer treatment.

    Our commitment to diversity, equity, and inclusion

    We are committed to fostering workplace diversity at all levels of the company and we believe it is essential for our continued success.

    No applicant shall be discriminated against or treated unfairly because...
    Equal Opportunity Employer - minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity


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