Senior Computational Biologist, Pharma R&D
Passionate about making a difference in the world of cancer genomics?
Tempus is a technology company at the forefront of the expansion of multi-modal healthcare data generation and the application of artificial intelligence (AI) to fundamentally change cancer care. Tempus is growing, and we are seeking exciting new talent to join the team.
Tempus' proprietary platform connects an entire ecosystem of real-world data to deliver real-time, actionable insights enabling physicians to drive better outcomes through precise, individualized care. Our data accelerates the pace of innovation, empowering researchers to characterize disease, discover new opportunities, maximise clinical trial success, and ensure the right therapies reach the right patients.
Excitingly Tempus is expanding and opening a new office in Boston/Cambridge MA. We are looking for talented Computational and Systems Biologists to join our team. In this role, the successful candidate will collaborate in major strategic alliances with a world leading biopharmaceutical organization. As a Tempus employee you will have access to the world’s largest real-world patient clinical data set linked to genetics, transcriptomics and digital pathology. Utilizing Tempus’ data and platforms, you will deliver transformational impact across the entire drug R&D lifecycle. You will also develop methodology and algorithms advancing cancer precision medicine for patients in the Tempus network.
Responsibilities
Partner with a major pharma client to design, develop and execute computational research leveraging the Tempus platform to advance drug R&D programs.
Become an expert in Tempus’ epidemiological, clinical, ‘omic and imaging data & tools.
Become an expert in the pharma clients’ strategies, pipeline and portfolio to identify where the Tempus platform can add value.
Collaborate with the pharma client’s scientific and technical teams to co-architect solutions and projects.
Analyze multimodal big data to extract insights and drive new research opportunities.
Collaborate with Research, Engineering & Data Science teams at Tempus to develop and deliver innovative computational solutions.
Document, summarize and communicate highly technical results and methods clearly to non-technical audiences.
Drive continual improvement of the Tempus platform by communicating client feedback, staying ahead of research & industry trends, and championing new opportunities.
Help build Tempus’ reputation within the Greater Boston biotech and tech community.
Author whitepapers and peer reviewed manuscripts.
Preferred Qualifications:
- PhD (or Masters and 2+ years of employment) in a directly relevant filed, combining:
- quantitative and computational skills e.g. Computational Biology, Biostatistics/Statistical Genetics, Bioinformatics, Biomedical Informatics, Biometrics, Data Science for Health, or similar.
- biological or medical knowledge e.g. Human Disease, Oncology, Genetics/Genomics, Molecular Biology, Immunology, or similar
- Comfort in a client facing role
- Proficient in R or Python packages for computational biology
- Experienced with SQL
- Strong understanding of the molecular nature of human disease.
- Expert delivering actionable insight from NGS and transcriptomic data sets.
- Competency in statistical and mathematical techniques for biological data analysis
- Impact demonstrated through peer reviewed publication or patent authorship
- Expertise in one of:
- network and systems biology
- mechanistic modeling and simulation
- knowledge analytics
- deconvolution and causal inference
- integrative analysis of multi-modal data
- Thrive in a fast-paced environment and willing to shift priorities seamlessly.
- Experience in any of the following will also be beneficial: drug R&D; clinical trial data; oncology; immunology; single cell or spatial transcriptomics; digital pathology; knowledge or graph based AI techniques; Bayesian networks and inference; real world data/evidence
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