We are seeking an experienced computational biologist to join the Platform group at Kymera Therapeutics.   The successful candidate will support pipeline projects by designing and analyzing genomics and proteomics experiments for target validation, mechanism of action, and biomarker identification. The candidate will be expected to perform rigorous analyses and present the results to project team members.

Kymera Therapeutics is a publicly listed, clinical stage biotechnology company pioneering the field of targeted protein degradation (TPD) to bring life-changing medicines to patients that need them. Kymera’s Pegasus™ TPD platform harnesses the body’s natural protein recycling machinery to degrade disease-causing proteins, with a focus on undrugged nodes in validated pathways currently inaccessible with conventional therapeutics. As we work toward becoming a fully-integrated biopharmaceutical company, we are growing and strengthening organizational capabilities and evolving our culture. As a result, Kymera has been recognized by both the Boston Globe and the Boston Business Journal as one of Boston’s top workplaces.

In 2023, we plan to continue to advance our leadership in TPD and enhance our capabilities to deliver on the potential of inventing a new class of protein degrader medicines for patients. Kymera is rapidly advancing four clinical stage programs in oncology and immunology, and is positioned to deliver one additional Investigational New Drug Applications (IND) annually. We are also actively advancing a broad pipeline of preclinical programs where TPD has the potential to provide a best-in-class approach, both internally and in collaboration with our partners Sanofi and Vertex Pharmaceuticals.

Responsibilities:

• Perform large-scale integrated analyses of public and proprietary datasets for target identification and validation
• Collaborate with project team partners to design and execute genomics, transcriptomics and proteomics experiments to elucidate mechanism of action of small molecules and identify biomarkers for monitoring and predicting response
• Process raw data generated by these experiments using in-house computational pipelines
• Integrate and analyze these datasets and present the findings in cross-functional project team meetings
• Prepare publication-quality visualizations and document analyses for external audiences
• Mentor junior Computational Biology team members

Qualifications:

• PhD in Computational Biology, Bioinformatics, Computer Science, or other related field with 6+ years of relevant experience. Master’s degree with extensive relevant industry experience will also be considered.
• Extensive experience with analysis of high-dimensional biological datasets such as genomics, transcriptomics, or proteomics datasets. Experience with single cell RNA sequencing a plus.
• Experience developing algorithms for analysis of large biological datasets with Python and R
• Familiarity with Unix-based high-performance computing cluster environments such as SLURM or SGE. Experience with cloud computing such as Amazon Web Services or Google Cloud a plus.
• Knowledge of signaling pathways and regulation of gene/protein expression in oncology and/or immunology highly desired