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Sr Data Scientist

South San Francisco, CA, United States

FULLY REMOTE

PLEASE DO NOT RESUB PREVIOUSLY PRESENTED (SHORTLISTED, REJECTED JOB SEEKERS from prior request AMAGJP00012397)

OPEN MARKET RATE - Hiring Manager has budget up to ***/hour Max for the *** hourly bill rate*****(***/hour is to ***).

1 YEAR WITH EXTENSION UP TO 3 YRS

**Please reference top 3 skills and day to day responsibilities in the job description in the request.

Interview Process: 1st Phone screen, 2nd round take home exam and prepare for remote presentation of past work for 45min.

The Computational Biology group in the Clinical Biomarkers & Diagnostics (CBD) department at *** is seeking a highly motivated Sr data scientist to join our team and contribute to develop machine learning modeling and prediction pipelines using multi-modal biomarker data from clinical trials.

Responsibilities

• Maintain and develop in-house endpoint association and modeling/prediction pipeline that use cutting edge machine learning methodologies to develop biomarkers of clinical response and resistance, extend analytical capabilities of biomarker platform

• Define and implement Bioinformatics strategy and protocol-driven configuration layers of biomarker platform for *** studies

• Perform pan-study analysis to find biomarkers that are predictive of safety and efficacy endpoints.

• Serve as a subject matter expert and implementation lead for application of open-source R and python Client modeling libraries to clinical trial data and real world data (from external partners, publicly available data or consortia data).

• Work cross-functionally with stakeholders in Research and Development.

• Communicate findings and insights and present them to the team.

Basic Qualifications

Doctorate degree and 1-2 years of scientific experience

OR

Master's degree and 3-5 years of scientific experience

OR

Bachelor's degree and 5-7 years of scientific experience

Preferred Qualifications

• PhD or MS in Bioinformatics, Mathematics, Statistics, Computer Science, or a related quantitative field.

• Significant experience in bioinformatics, applied mathematics and/or statistics to analyze multi-modal, multi-dimensional and large-scale biological datasets including whole exome sequencing, RNA-seq, and high-throughput proteomics data.

• Familiarity of clinical bioinformatics domain and associated technologies, real world biomarker data

• Working experience of data QC, data preprocessing, feature selection, model building and deployment.

• Fluency in both Python and R programming languages and associated DevOps tools (version control, Client Ops).

• Ability to work in a highly matrixed environment and drive scientific and technical innovation collaboratively with other group members and with *** research community.

• Strong written and oral communication skills, self-motivation, independence, and leadership.

Apply

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