Computational skills using Python, R or SAS and SQL, especially relevant statistical tools and packagesIdeal candidates will possess:Strong data manipulation and analysis skills Ability to tackle large, ambiguous problems Strong communication and presentation skillsSelf-starterFamiliarity with machine learning techniques and the advantages and disadvantages of different approaches, especially with respect to predictive and prognostic algorithms in medical researchExperience in cancer genetics, immunology, or molecular biologySelf-driven and works well in interdisciplinary teamsCollaborative mindset, an eagerness to learn and a high integrity work ethicSharp attention to detail and passion for delivering high quality and timely analytics deliverablesAble to effectively present research results to study team and other collaborators, including results interpretation and drawing appropriate inferences based on study design/statistical methods as well as assessment of study limitationsNice to have:Experience with version control and software testingExperience with time to event analysis and methodologyExperience working in oncology Phase II-IV clinical trials and/or experience with the analysis of RWD studies (e.g. using claims, EHR or registry data sources)Hands-on experience in helping to prepare regulatory submissions to the FDAExperience supporting data science teams in model building and validationClient facing or consulting experience and comfort with presenting results to stakeholders#LI-NK1#LI-REMOTECHI: $100,000-$160,000 NYC/SF: $115,000-$175,000The expected salary range above is applicable if the role is performed from Illinois and may vary for other locations (California, Colorado, New York).