Position Title: Computational Principal Scientist
Work Location: Remote
Assignment Duration: 6 months
Work Schedule: Must be open to working PST
Work Arrangement: Remote
 
Position Summary:
Seeking a highly motivated Principal Scientist to apply advanced computational methods in support of clinical biomarker development, patient stratification, and translational research with a primary focus in Oncology.
 
Background & Context:

• As a science-based, patient-focused organization, we discover and develop innovative therapies to treat serious illnesses.
• Our medicines have made a dramatic difference in the lives of millions.
• To underpin our commitment to serve patients, developing our Translational Science focus with modern molecular and cellular science and pathology laboratories, designed to discover and develop valuable biomarkers in support of clinical programs.

 
Qualification & Experience:

• Doctorate degree PhD OR PharmD OR MD and 2 years of Experience OR Masters degree and 5 years of experience OR Bachelors degree and 7 years of experience.
• Must have Oncology experience as this will be supporting an Oncology team.
• Ideal Candidate: Clinical trial data experience, Self starter, ability to communicate cross functionally.

 
Key Responsibilities:

• Support the development of clinical biomarkers supporting our organization’s programs through the formulation and execution of biomarker data analysis.
• Perform assessment of biochemical coverage, patient stratification, indication selection in our organization’s early and late clinical development programs and discovery of clinical insights at asset and portfolio levels through the application of knowledge discovery and data mining techniques.
• Conduct exploratory analysis of clinical trial biomarker/omics data, public/consortium data, and other relevant datasets to uncover novel insights and support clinical programs.
• Develop translational informatics analysis workflows in a high-content, multi-omics, multi-modal data domain encompassing genomics, transcriptomics, proteomics, metabolomics and epigenomics domains.
• Collaborate with oncology biologists and cross-functional partners (DTI, assay labs, biomarker scientists, diagnostics teams) to ensure computational analyses are aligned with biological and clinical goals.
• Champion and exemplify the application of knowledge graphs and modern AI/ML (including generative and transfer learning techniques and task specialization of foundational models) to enable understanding and prediction of clinical endpoints or adverse events (e.g., ocular toxicity).
• Represent CfTI in some of our organization’s program/portfolio teams as a biomarker analysis lead.
• Participate in diagnostics assay and vendor evaluation and selection by providing inputs from computational perspective.
• Interface cross-functionally with the early development teams, assay laboratories, in-vitro diagnostics, and biomarker representatives.
• Partner with the Reverse Translation Computational Biology lead to support cross-program initiatives.

 
 
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $ 50.00/hr.