Translational Scientist II, Translational Research
Tempus AI · New York, NY
- On site
- Full-time
- $135,000 / year
- New York, NY
Job highlights
- Execute complex translational research projects.
- Integrate molecular and clinical data.
- Provide insights to biopharma partners.
- Communicate complex scientific findings clearly.
- Stay current with computational oncology research.
About the role
Translational Scientist II, Translational Research
Tempus is a healthcare technology company at the forefront of leveraging data to improve patient lives. Our proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians. Our data empowers researchers to better characterize and understand disease, and to drive better outcomes through precise, individualized care.
About the Role
The Translational Scientist II, Translational Research will execute research projects for early stage biopharmaceutical partners. This role involves performing complex computational analyses, and providing interpreted insights to guide decision-making for biopharma clients. The ideal candidate will possess strong genomic analytical skills and the ability to communicate complex scientific findings to various stakeholders.
Key Responsibilities
- Independently execute complex translational research projects integrating molecular and clinical data from Tempus multimodal data platform to derive real-world insights for biopharma partners.
- Present scientific findings clearly and meaningfully to diverse sets of external stakeholders.
- 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 team.
Qualifications
- PhD degree in a quantitative discipline (e.g. Biostatistics/Statistical Genetics, Cancer Genetics, Bioinformatics, Computational Biology, Computational Immunology or similar) or, a PhD in Molecular Biology or Immunology combined with a very strong record of computational biology. Alternatively an MSc degree with 4+ years of industry experience.
- Highly proficient in R (ideally Rmd and/or RShiny).
- 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.
Key skills/competency
- Translational Research
- Computational Oncology
- Genomic Analysis
- Biostatistics
- Bioinformatics
- Molecular Data
- Artificial Intelligence
- Drug Discovery
- Clinical Data
- Scientific Communication
Skills & topics
- Translational Scientist
- Translational Research
- Computational Oncology
- Genomic Analysis
- Biostatistics
- Bioinformatics
- Molecular Data
- Artificial Intelligence
- Drug Discovery
- Clinical Data
- R
- RShiny
- PhD
- Healthcare Technology
- Precision Medicine
How to get hired
- Tailor your resume: Highlight your PhD in a quantitative discipline or computational biology experience.
- Showcase technical skills: Emphasize proficiency in R, Rmd, RShiny, and relevant libraries.
- Demonstrate communication ability: Provide examples of presenting complex scientific findings.
- Align with company values: Express your passion for precision medicine and advancing healthcare.
- Prepare for technical questions: Be ready to discuss your experience with multi-modal data and AI in drug discovery.
Technical preparation
Master R, Rmd, and RShiny.,Practice integrating multi-modal data.,Familiarize with AI in drug discovery.,Review Git and AWS documentation.
Behavioral questions
Describe a complex research project you led.,How do you communicate complex data?,How do you stay updated on research trends?,Share an experience thriving in a fast-paced environment.
Frequently asked questions
- What is the primary focus of a Translational Scientist II at Tempus?
- The Translational Scientist II at Tempus focuses on executing research projects for biopharmaceutical partners, integrating molecular and clinical data to derive real-world insights and guide decision-making. This involves complex computational analysis and clear communication of scientific findings.
- What educational background is required for the Translational Scientist II role at Tempus?
- A PhD in a quantitative discipline such as Biostatistics, Bioinformatics, or Computational Biology is required. Alternatively, a PhD in Molecular Biology or Immunology with a strong computational biology record, or an MSc with 4+ years of industry experience is acceptable.
- What technical skills are essential for this position at Tempus?
- High proficiency in R, including Rmd and RShiny, is essential. Experience with a wide range of scientific libraries and tools such as Pandas, NumPy, Scikit-learn, Git, and cloud platforms like AWS is also highly preferred.
- How important is communication for a Translational Scientist II at Tempus?
- Communication skills are crucial. The role requires the ability to present complex scientific findings clearly and persuasively to diverse external stakeholders, including biopharma clients.
- What is the typical work arrangement for a Translational Scientist II at Tempus?
- While not explicitly stated, the mention of specific salary ranges for different locations (e.g., Illinois, California, New York) suggests that the role may be performed from these locations. The fast-paced environment and client-facing aspects might indicate a hybrid or on-site arrangement, but remote work could also be possible depending on the team and specific project needs.
- Does Tempus value experience with AI and machine learning for this Translational Scientist role?
- Yes, a strong understanding of artificial intelligence in drug discovery and experience in integrative modeling of multi-modal clinical and omics data are highly preferred, indicating Tempus's commitment to leveraging AI.
- What kind of data does a Translational Scientist II work with at Tempus?
- The Translational Scientist II works with Tempus's multimodal data platform, integrating molecular data (like transcriptome and NGS data) and clinical data to derive real-world insights.