Tempus AI

Compensation

Full Description

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 Outcomes Research 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 Sr. 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 partners Represent the Outcomes Research function and collaborate with internal and external stakeholders in the design, analysis, interpretation and publication of clinical real world studies Work on complex problems, exercising judgment in selecting and adapting methods as appropriate Work with interdisciplinary groups of scientists, engineers, and product developers to translate research into clinically actionable insights for our clients Stay current with the latest methodological advances in real world studies Build infrastructure including reusable code Comply with all applicable regulations and Company procedures Required Experience: Advanced degree (Masters with 5+ years of experience or PhD with 3+ years of experience) or Bachelor’s degree with 8+ 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 packages Ideal candidates will possess: Strong data manipulation and analysis skills Ability to tackle large, ambiguous problems Strong communication and presentation skills Self-starter Familiarity with machine learning techniques and the advantages and disadvantages of different approaches, especially with respect to predictive and prognostic algorithms in medical research Experience in cancer genetics, immunology, or molecular biology Self-driven and works well in interdisciplinary teams Collaborative mindset, an eagerness to learn and a high integrity work ethic Sharp attention to detail and passion for delivering high quality and timely analytics deliverables Able 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 limitations Nice to have: Experience with version control and software testing Experience with time to event analysis and methodology Experience 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 FDA Experience supporting data science teams in model building and validation Client facing or consulting experience and comfort with presenting results to stakeholders #LI-NK1 #LI-REMOTE CHI: $100,000-$160,000 NYC/SF: $115,000-$175,000 The expected salary range above is applicable if the role is performed from Illinois and may vary for other locations (California, Colorado, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position. We 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. Tempus was founded in August of 2015 by Eric Lefkofsky, after his wife was diagnosed with Breast Cancer. Shortly after he founded the company in an effort to bring the power of technology and artificial intelligence to cancer care, he convinced Ryan Fukushima to join as the company’s first employee. Ryan and Eric began assembling a world class team, focused on building the first version of a platform capable of ingesting real time healthcare data in an effort to personalize diagnostics. We built the platform for oncology and have expanded it to neuropsychiatry, cardiology, infectious disease (through COVID), and radiology. Despite our rapid growth, our mission remains the same—to help make sure patients are on the right drug at the right time, so they can live longer and healthier lives. We’re looking for people who can change the world. Who question the status quo and don’t shy away from tough problems. For the builders who are never done building and the learners who are never done learning. We’re looking for passionate people with undying curiosity. Those who want to attack one of the most challenging problems mankind has ever faced. Head on.