Tempus Labs, Inc.
Sr. Data Scientist, RWE
Tempus Labs, Inc., Boston, Massachusetts, us, 02298
Passionate about precision medicine and advancing the healthcare industry?Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.The Real World Evidence team at Tempus partners with external Pharma, biotech and academic institutions to provide best in class data, analysis and methodological guidance to Tempus’s real world data offering. We are seeking a highly motivated and capable Data Scientist with extensive experience and interest in design and analysis of pharmacoepidemiological studies to join our team.Responsibilities
Participate in clinical projects with external Pharma, academic and other partnersRepresent the Real World Evidence function and collaborate with internal and external stakeholders in the design, analysis, interpretation and publication of clinical real world studiesWork on complex problems, exercising judgment in selecting and adapting methods as appropriateWork with interdisciplinary groups of scientists, engineers, and product developers to translate research into clinically actionable insights for our clientsStay current with the latest methodological advances in real world studiesBuild infrastructure including reusable codeComply with all applicable regulations and Company proceduresRequired Experience
Advanced degree (Masters with 4+ years of experience or PhD) or Bachelor’s degree with 6+ years of experience in data science, bioinformatics, biostatistics, epidemiology, immunology, public health, or related fields.Computational skills using Python, R or SAS and SQL, especially relevant statistical tools and packagesIdeal Candidates Will Possess
Strong data manipulation and analysis skillsAbility to tackle large, ambiguous problemsStrong 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 stakeholdersWe are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
#J-18808-Ljbffr
Participate in clinical projects with external Pharma, academic and other partnersRepresent the Real World Evidence function and collaborate with internal and external stakeholders in the design, analysis, interpretation and publication of clinical real world studiesWork on complex problems, exercising judgment in selecting and adapting methods as appropriateWork with interdisciplinary groups of scientists, engineers, and product developers to translate research into clinically actionable insights for our clientsStay current with the latest methodological advances in real world studiesBuild infrastructure including reusable codeComply with all applicable regulations and Company proceduresRequired Experience
Advanced degree (Masters with 4+ years of experience or PhD) or Bachelor’s degree with 6+ years of experience in data science, bioinformatics, biostatistics, epidemiology, immunology, public health, or related fields.Computational skills using Python, R or SAS and SQL, especially relevant statistical tools and packagesIdeal Candidates Will Possess
Strong data manipulation and analysis skillsAbility to tackle large, ambiguous problemsStrong 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 stakeholdersWe are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
#J-18808-Ljbffr