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Senior Computational Biology - Real World Data Science

Remote:

Full Remote

Experience:

Mid-level (2-5 years)

Work from:

North Carolina (USA), United States

Offer summary

Qualifications:

PhD in a quantitative discipline, 2+ years experience in drug development, Proficient in R, Python, SQL, Strong understanding of cancer biology.

Key responsabilities:

Perform bioinformatics analyses for research projects
Project management and creating research plans
Develop methods for multi-omics data analysis
Collaborate with scientists on research questions
Execute complex research projects independently
Present scientific findings to stakeholders

Tempus Unicorn http://www.tempus.com

1001 - 5000 Employees

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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 complex bioinformatics analyses to support a wide variety of projects. We are seeking a candidate with extensive experience in the analysis of high-dimensional data, cancer genomics, statistics, and machine learning.

Key Responsibilities:

Perform bioinformatics analyses for large-scale research projects, such as detailed target characterization, biomarker discovery, or identifying the ideal patient population for a specified therapeutic.
Project management, including creating research plans, executing research aims, supervising other bioinformaticians, and creating reports and other deliverables
Develop methods for analyzing multi-omics data, building analysis pipelines, algorithms, and validating tools for oncology research
Collaborate with scientists to understand their research questions and propose solutions
Write clean, maintainable, documented code
Independent Contribution:

Independently execute complex research projects integrating molecular and clinical data 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.

Continuous Improvement:

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.

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.

#LI-GL1

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.

Additionally, for remote roles open to individuals in unincorporated Los Angeles – including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.