Data Scientist - Irving, United States - Caris Life Sciences
Description
Position Summary
Caris Life Sciences is seeking a data scientist to expand, test, and validate a suite of molecular biomarkers aimed to improve the standard of care for patients undergoing treatment for cancer.
This is a research role within the Caris signature development program and responsibilities will center on statistical or machine-learning derived predictions of phenotypic treatment response built from the genotypic data types available on Caris molecular sequencing platforms.
A successful candidate will have the analytical, code-oriented mindset to create reproducible data science pipelines, and the communication skills to discuss the implications of the scientific results with our medical professionals.
Job Responsibilities
Work with disease experts to determine the cohort selection, model development, and validation steps that make up a project roadmap for a genetic signature.
Communicate the impact and interpretation of predicted clinical outcomes for the targeted disease type.
Structure queries and organize codebases in a streamlined and reproducible manner.
Compare novel signatures with baselines derived from the molecular health literature.
Interface with data engineering and bioinformatics teams to understand the intricacies of underlying datasets.
Required Qualifications
PhD in Mathematics, Data Science, Computational Biology, Bioinformatics, Engineering, or related scientific field.
Proficiency in at least one general-purpose programming language (Python, R, Java, C/C++). Python is preferred.
Familiarity with Linux ecosystem, Git, and queries from SQL or related database families.
Experience with common machine-learning Python libraries such as SKlearn, PyTorch, TensorFlow, Keras, etc.
Ability to communicate quantifiable results through tables, figures, and plots.
Conditions of Employment:
Individuals must successfully complete pre-employment process, which includes criminal background check, drug screening, and reference verification.
Preferred Qualifications
Experience with interpretation of clinical health records including Electronic Health Records, insurance claims data, or patient histories
OR with bioinformatics pipeline development and genetic file types such as VCF, BAM, FASTQ
OR with statistical genomics methods such as those used to perform a traditional GWAS.
Good code documentation practices and experience with workflow management packages.
Cloud programming experience, in particular under the AWS Sagemaker ecosystem.
1-5 years experience in Data Science
Physical Demands
Will work at a computer some of the time as well as need to keep inventory and ordering records requiring the use of copiers, fax machines, and PDF scanners.
Must possess ability to sit and/or stand for long periods of time.
Training
All job specific, safety, and compliance training are assigned based on the job functions associated with this employee.
Other
Job may require after-hours response to emergency issues.
This position may require periodic travel and some evenings, weekends and/or holidays.
This job description reflects management's assignment of essential functions.
Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time.
Caris Life Sciences is an equal opportunity employer.All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.
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