30 applicants

Company

Original Job Post

Structure Therapeutics · 4 days ago

Associate Director, Data Science

South San Francisco, CA

Full-time

Onsite

Senior Level

$186K/yr - $224K/yr

5+ years exp

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Responsibilities

Ensure accurate and timely completion of analytical and programming activities and results for assigned projects.

Plan and execute on datasets to be analyzed, including exploratory activities or with pre-specified requirements.

Explore and test creative solutions to solve complex data analysis problems. Explore the fit-for-purpose usage of various software and analytical tools according to the scientific context of the projects. Exercise independent judgement and integrity in selecting and adapting, as necessary, methods appropriate for the specific projects.

Ability to develop and complete innovative data analysis projects. Apply analytical methods to diverse sources of data and share results in varying formats, including data manipulations, data visualization, and data engineering.

Continuous analysis of data and trends of ongoing studies. Define and develop key data listings for internal clinical team review and identified and query data issues in the ongoing studies.

Support CRO on data visualization and blinded safety reports

Developing interactive dashboards that combine visuals with real-time data.

Generate analysis, hypothesis, and integration of different studies/indications of completed studies.

Data mining on published data from incretins (single, double analogs)

Bring patients level data of approved drugs in T2DM and OBS.

Generating large databases from various sources of structured and unstructured data from publish data and commercial database.

Conduct integrated PK/PD exposure/ safety analysis.

Explore and develop the use of artificial intelligence (AI) and machine learning (ML) techniques for problem-solving.

Remains current about new developments and standards in the field of Data Science and shares with the Statistics and Clinical Data Management team members.

Qualification

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Statistical AnalysisProject ManagementDrug DiscoveryClinical TrialsPhase IPhase IIPhase IIIProblem-SolvingCommunicationAdaptabilityCollaborationClinical Trial Designs

Required

Master’s degree or Ph.D. in a quantitative discipline such as mathematics, statistics, biostatistics, computer science, bioinformatics, or computational biology

Expertise in statistical data analysis in the clinical trial setting and real-word data

5+ years of relevant work experience in industry or academia

Experience with phase I, II and III pharmaceutical clinical trials experience highly preferred

Strong project management skills

Knowledge in drug discovery process and relevant statistical applications

Scientific curiosity and ability to learn

Proven ability to effectively collaborate with cross-functional teams

Strong consultation, conversational, written communication, and interpersonal skills

Adaptability and ability to thrive in a dynamic, diverse, and matrixed environment

Preferred

Tracking record of successive clinical trial designs/analysis in biotech/pharmaceutical industry setting and hands-on statistical analysis experiences