Staff ML Scientist
Chicago, New York City, Boston, SF
Applications have closed
Tempus
Tempus has built the world’s largest library of clinical & molecular data and an operating system to make that data accessible and useful, starting with cancer.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.
What You Will Do:
- Analyze and integrate large diverse clinical, molecular and wearable datasets to extract insights, and drive research opportunities.
- Design and prototype novel analysis tools and algorithms for predicting patient outcome and treatment response.
- Collaborate with product, science, engineering, and business development teams to build the most advanced data platform in precision medicine.
- Interrogate analytical results for robustness, validity, and out of sample stability.
- Document, summarize, and present your findings to a group of peers and stakeholders.
- Provide technical leadership & expertise across multiple modeling projects.
Required Qualifications:
- PhD degree in a quantitative discipline (e.g. computer science, biomedical informatics, machine learning, statistics, computational biology, applied mathematics, physics, or similar).
- Outstanding analytical and problem solving skills, with a particular focus on understanding the intricacies of multi-modal medical data sets.
- Experience working with structured and unstructured Electronic Health Records (EHRs).
- Expert-level experience with supervised, self-supervised and unsupervised machine learning algorithms, such as: regression, generative modeling, deep neural networks, gradient boosting, non-linear low dimensional embeddings and clustering.
- Proficient in Python and SQL.
- Experience with machine learning frameworks such as TensorFlow or PyTorch.
- Strong programming skills.
- Thrive in a fast-paced environment and willing to shift priorities seamlessly.
- Experience with communicating insights and presenting concepts to diverse audiences.
- Team player mindset and ability to work in an interdisciplinary team.
- Goal orientation, self motivation, and drive to make a positive impact in healthcare.
Preferred Qualifications:
- 3+ years of relevant industry or postdoctoral experience.
- Strong peer-reviewed publication record.
- Experience building machine learning based models towards clinical outcomes.
- Familiarity with natural language processing.
- Experience with processing wearable data for healthcare outcomes.
- Experience in finding insights in genomic datasets integrated with EHRs.
- Experience in agile environments and comfort with quick iterations.
- Experience in working on metabolic diseases (e.g., Type 2 diabetes mellitus).
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.
#LI-SH1 #LI-Hybrid #LI-OnsiteThe expected salary range below is applicable if the role is performed from [New York] and may vary for other locations. 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.New York Pay Range$180,000—$250,000 USDWe 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.
Tags: Agile Biology Clustering Computer Science Engineering Generative modeling Machine Learning Mathematics NLP PhD Physics Python PyTorch Research SQL Statistics TensorFlow
Perks/benefits: Career development Health care
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