Scientist/Principal Research Associate, Reverse Translation

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

Genmab is seeking a highly motivated scientist to join our Reverse Translation team, which is part of the ground-breaking Translational Science teams in the Precision Medicine department. These teams generate high throughput data to uncover and validate the mechanism of action and pharmacodynamic and sensitivity biomarkers for our Genmab drug products, and of commercial and preclinical samples. These data include flow cytometry, immune function assays, RNA sequencing, immunohistochemistry and spatial transcriptomics. The Reverse Translational Disease Biology research group is dedicated to discover and formulate testable hypotheses regarding resistance mechanisms and pathways to standard of care regimens and Genmab therapeutic antibodies.

Responsibilities

You will be motived to identify features of the tumor and/or microenvironment that in resistant patients hinder the immune response to the treatment applied, and that can make the tumor vulnerable to alternative treatment approaches, and to translate these findings back to the lab for testing. You will be driven to understand cells, their internal circuits, and their interactions in health and disease, to discover and deliver new targets and treatment approaches.

For this reverse translational work, the vast array of internal and external data from clinical trials, research collaborations, EMRs, RWE, and commercially purchased data sets will be used to drive deep disease biology knowledge, to help refine preclinical and early development approaches for our Genmab portfolio, and to help validate targets and pathways of interest.

To optimally make use of the breadth of -omic data available, you will have an educational background in biology/oncology/immunology. You will utilize Data Sciences built solutions to develop composite molecular profiles to predict rational drug combinations, identify novel targeted therapies and contribute to adaptive trial design. You will work to interpret results of multi-variate statistical analysis and classification methods to identify composite biomarkers of response and stratify patient populations, and thereby refine the match between the underlying biology and the treatment response and outcome.

Requirements

• A PhD in Bioinformatics, Molecular Biology, Biomedical Sciences, Biochemistry or a related discipline, with 2+ years of experience in cancer biology and/or immune-oncology; or a Master's Degree in with 5+ years of experience; or Bachelor’s Degree with 10+ years of experience

• You are data-savvy: driven to make use of the data sciences capabilities internally available to interpret scientific findings and to contribute to rapid data-driven decision making.

• Working experience in interpretation of statistical analysis of state-of-the art -omics data such as immunophenotyping, single cell or bulk RNA-sequencing, immune function assays, immunohistochemistry, and/or spatial transcriptomic/proteomics are required.

• You have basic knowledge of and experience in coding in R/Bioconductor or Python, and an interest in interpretation of applications of AI/ML models

• Working experience in a cloud based environment is a plus.

• Knowledge of working according to reproducible research principles is a plus.

• Experience working with GxP and non-GxP data is a plus.

• You are enthusiastic, creative, goal orientated, pro-active and out-of-the-box thinking with a strong ability to work independently.

• You enjoy working in a multidisciplinary team. You naturally liaise between computational biologists and oncology/immunology biologists.

• You are capable to provide biological interpretations of your results to teams with diverse scientific backgrounds.

• Team player with excellent interpersonal and communication skills with great command of written and spoken English.