Senior Scientist, Translational Research or Real-World Evidence
Company: Tempus AI Inc.
Location: Chicago
Posted on: October 19, 2024
Job 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 Senior Scientist, Translational Research or Real-World Evidence
in the Real World Data Science org will design and execute research
projects for early-stage to mid-stage biopharmaceutical partners.
This role involves performing complex computational analyses and
providing interpreted insights in a consultative approach to guide
decision-making for biopharma clients. This role will require
staying up to date in research and industry trends in oncology drug
development to identify specific areas where the Tempus platform
can establish new markets.
Key Responsibilities:
- Execute Strategic Collaborations:
- Partner with our pharma clients to design, develop, and execute
computational research projects leveraging the Tempus platform to
advance precision medicine research programs.
- Execute scientific activities including scoping net new
projects, generating high-quality contracted deliverables, and
serve as the key scientific lead in the partnership.
- Support exploratory research for target discovery and
validation in early phases of drug development.
- Support decisions for early-stage assets such as patient and
indication selection, biomarker, and combination
strategies.
- Evaluate clinical trial design by testing assumptions, refining
eligibility criteria, and characterizing patient outcomes on
standard of care.
- Develop novel biomarkers of response signatures.
- Leadership Development:
- Help train and manage junior scientists on team.
- Independent Contribution:
- Independently execute complex translational or real-world
evidence research projects integrating molecular and clinical data
from Tempus multimodal data platform to derive real-world insights
for biopharma partners.
- Scientific Communication:
- Expert in navigating client interactions; Present scientific
findings clearly and meaningfully to diverse sets of external
stakeholders.
- Document, summarize, and communicate highly technical results
and methods clearly to non-technical audiences.
- Author abstracts, posters, and peer-reviewed publications to
illustrate the value of multimodal analysis and AI in drug
discovery in coordination with our partners or internal R&D
teams.
- Continuous Improvement:
- Become an expert in our biopharma partners' strategy, pipeline,
and portfolio to proactively determine all areas that the Tempus
platform could add value to the drug development process of our
partners.
- Stay current with industry trends, best practices, and
advancements in computational oncology research. Apply this
knowledge to enhance research methodologies and improve overall
research quality on the team.
- Work with Product and Engineering teams to streamline workflow
of computational analyses.
Qualifications:
- Education: PhD degree in a quantitative discipline (e.g.
Biostatistics/Statistical Genetics, Cancer Genetics,
Bioinformatics, Computational Biology, Computational Immunology or
similar) plus 2 years of experience or postdoctoral studies.
Alternatively, a PhD in Molecular Biology or Immunology combined
with a very strong record of computational biology.
- Experience: Minimum 2+ years in drug development leveraging
genomic and multimodal data for drug discovery and
development.
- Technical/Scientific Skills: Proficient in R, Python, and SQL.
Strong understanding of cancer biology.
- Communication Skills: Excellent written and verbal
communication skills, with the ability to present complex
information clearly and persuasively to diverse audiences.
Preferred Skillsets/Background:
- 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.
- Prior consulting and/or client-facing experience is highly
desirable.
- Ability to work collaboratively in a team environment.
- Thrive in a fast-paced environment and willing to shift
priorities seamlessly.
- Experience with R package development.
- Strong peer-reviewed publication record.
- Experience with: Pandas, NumPy, SciPy, Scikit-learn, Jupyter
Notebooks, RStudio, R Package development, tidyverse, ggplot, Git,
matplotlib, seaborn, HTML5, CSS3, JavaScript, D3, Plot.ly, Flask,
Dask, Docker, AWS.
- Goal orientation, self-motivation, and drive to make a positive
impact in healthcare.
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Keywords: Tempus AI Inc., Lombard , Senior Scientist, Translational Research or Real-World Evidence, Other , Chicago, Illinois
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