
Job Information
MD Anderson Cancer Center Clinical Research Scientist - Precision Oncology Decision Support in Houston, Texas
JOB SPECIFIC COMPETENCIES
Generate content for the PODS knowledgebase
Applies scientific training to succinctly summarize published knowledge related to genes, protein domains, and classification of genomic alterations according to their functional and therapeutic impact.
Curates clinical trial eligibility criteria into discrete elements in order to facilitate patient-clinical trial matching
Curates drugs for their relevance to biomarkers and/or disease
Support collection of molecular data
Assists Clinical Data Abstractor in setting up and validating requests for annotation of patient molecular testing results, as needed.
Assists with the collection and entry of patient specific molecular data within IPCT databases
Support research projects and system enhancements
Supports research projects and system enhancements efforts through data collection, entry, and/or standardization.
Annotation
• Annotation of variants for therapeutic actionability
• Annotation of therapeutic levels of evidence
• Gene actionability research
• Learn to generate PODS annotation reports
Research and annotate new genomic alterations
Encountered within MD Anderson or PODS collaborator's patient population. This involves researching the published literature for any known functional effects or therapeutic relevance and applying a standardized classification system for alteration-specific functional significance and actionability assertions. Additionally, the research scientist will apply these same strategies to update existing annotations of alterations within the PODS knowledgebase when their shelf-life is reached. This latter process feeds into automatically generated alteration annotations for PODS patient-specific reports that interpret genomic sequencing results for therapeutic actionability. Encountered within MD Anderson or PODS collaborator's patient population. This involves researching the published literature for any known functional effects or therapeutic relevance and applying a standardized classification system for alteration-specific functional significance and actionability assertions. Additionally, the research scientist will apply these same strategies to update existing annotations of alterations within the PODS knowledgebase when their shelf-life is reached. This latter process feeds into automatically generated alteration annotations for PODS patient-specific reports that interpret genomic sequencing results for therapeutic actionability.
Research, summarize, and classify levels of evidence for specific biomarker-tumor type-therapy associations The research scientist will regularly review new FDA drug approvals and supplements for existing FDA approved drugs for the treatment of cancer and capture this information in a structured manner within the PODS knowledgebase. Additionally, the research scientist will review professional guidelines for a designated set of tumor types, research the clinical trial data leading to the guideline, write a summary of this data, and capture this information in a structured manner within the PODS knowledgebase. These data will populate within the appropriate PODS patient-specific reports.
Research new gene-level actionability questions Research scientists will research the published literature for predictive therapeutic evidence for the treatment of alterations within a certain gene with clinically available drugs. This will be performed as new panels are onboarded and/or as new evidence emerges within the literature for genes previously assessed as non-actionable
Generate PODS patient-specific reports
The research scientist will utilize their knowledge of all PODS annotation modules, after completion of training, to compose full patient-specific PODS reports which include alteration-specific annotations, levels of evidence for specific therapies, and matching clinical trials.
SOP generation and maintenance
The research scientist will participate in the maintenance and creation, if needed, of SOPs relevant to their job duties
Research projects and Support system development efforts
As need arises, the research scientist will participate in generating relevant PODS data for contribution of manuscripts for publication. The research scientist will contribute to the enhancement of existing databases, including MOCLIA and PODS, by reviewing and offering input on new requirements and participating in data clean-up and standardization efforts.
Other duties as assigned
PhD or Medical degree. None. It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html
Additional Information
Requisition ID: 160825
Employment Status: Full-Time
Employee Status: Regular
Work Week: Days
Minimum Salary: US Dollar (USD) 64,400
Midpoint Salary: US Dollar (USD) 80,500
Maximum Salary : US Dollar (USD) 96,600
FLSA: exempt and not eligible for overtime pay
Fund Type: Hard
Work Location: Hybrid Onsite/Remote
Pivotal Position: Yes
Referral Bonus Available?: Yes
Relocation Assistance Available?: Yes
Science Jobs: Yes
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