Tempus AI · 4 hours ago
Senior Scientist, Applied Machine Learning & Generative AI, Pharma R&D
Boston, MA
Full-time
Remote
Mid, Senior Level
4+ years exp
Maximize your interview chancesArtificial Intelligence (AI)Biotechnology
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Responsibilities
Execute analytical projects and capability builds to advance the Tempus drug R&D platform.
Perform complex computational analyses and develop algorithms for advancing cancer precision medicine for patients across the Tempus network.
Become an expert in Tempus’ vast epidemiological, clinical, ‘omic and imaging data, along with the latest tools and techniques for their analysis and modeling.
Drive continual improvement of the Tempus platform for pharmaceutical R&D by integrating client feedback, staying ahead of research and industry trends, and championing new opportunities, particularly in the realms of applied machine learning and generative AI.
Work with Research, Engineering & Data Science teams across Tempus’ expansive data science community to develop and deliver innovative computational solutions.
Gain proficiency in pharmaceutical companies' strategies, drug modalities, and pipelines to identify where the Tempus platform can add value.
Co-develop solutions with client science and clinical teams, and design, develop, and execute complex translational research projects leveraging the Tempus platform to advance their drug R&D programs.
Skillfully navigate client interactions to extract and communicate the most impactful insights driving new R&D opportunities; effectively communicate complex technical results and methodologies to diverse external stakeholders.
Continuously immerse yourself in the latest industry trends, best practices, and advancements in machine learning and AI to revolutionize drug R&D.
Qualification
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Required
PhD and an additional 2+ years of working experience or Masters and additional 4+ years of working experience.
Combining quantitative and computational skills (e.g. Applied Machine Learning, Generative AI, Computational Biology, Biostatistics/Statistical Genetics, and/or Bioinformatics).
Biological or medical knowledge (e.g. oncology, immunology, genomics, transcriptomics).
Target, drug or diagnostic discovery, or clinical drug development.
Proficient in R, Python, and SQL, and respective packages for computational biology and machine learning.
Applicable knowledge of machine learning and statistical modeling.
Strong understanding of the uses of artificial intelligence in molecular data analysis or drug discovery/development.
Experience in integrative modeling of multi-modal clinical and omics data.
Excellent written and verbal communication skills, with the ability to present complex information clearly and persuasively to diverse audiences.
Comfort in a client-facing role.
Thrive in a fast-paced environment and willing to shift priorities seamlessly.
Preferred
Strong peer-reviewed publication record.
Strong understanding of cancer biology.
Expertise in one or more of the following: in vitro data analysis and phenomics, network and systems biology, mechanistic modeling and simulation, knowledge analytics, deconvolution, and causal inference, integrative analysis of multi-modal data, real-world evidence, and survival analysis.
Strong understanding of molecular data and artificial intelligence in drug discovery with experience in integrative modeling of multi-modal clinical and omics data.
Previous experience working with large transcriptome and NGS data sets.
Experience with R package development.
Goal orientation, self-motivation, and drive to make a positive impact in healthcare.
Company
Tempus AI
Tempus is making precision medicine a reality by applying AI in healthcare, deriving insights from our expansive library of clinical data and molecular data.
1,001-5,000 employees
H1B Sponsorship
Tempus AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (52)
2022 (73)
2021 (75)
2020 (32)
Funding
Current Stage
Public CompanyTotal Funding
$1.34BKey Investors
GoogleBaillie GiffordT. Rowe Price
2024-06-14IPO· nasdaq:TEM
2022-10-20Series Unknown· $100M
2022-10-20Debt Financing· $175M
Leadership Team
Eric Lefkofsky
Founder and CEO
Shane Colley
CTO
Recent News
2024-10-24
MarketScreener
2024-06-05
Company data provided by crunchbase
