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Associate Director, Biometrics - South San Francisco, United States - Structure Therapeutics
Description
Job DescriptionJob Description Salary:
Structure Therapeutics develops life‐changing medicines for patients using advanced structure‐based and computational drug discovery technology.
The company's platform combines the latest advancements in visualization of molecular interactions, computational chemistry, and data integration to design orally available, superior small molecule medicines that overcome current limitations of biologic and peptide drugs.
We are advancing a clinical‐stage pipeline of differentiated treatments focused on chronic diseases with high unmet need, including cardiovascular, metabolic, and pulmonary conditions.
Structure Therapeutics is led by an experienced group of international drug innovators and financed by top-tier global life sciences investors.
With offices in California and Shanghai, Structure Therapeutics has the benefit of being at the center of life science innovation in both the US and China and capitalizing on the strengths of each geographic location.
POSITION SUMMARY
The position provides data analytical support for an exciting portfolio of Structure's experimental drugs.
He/she will play a pivotal role in supporting different functional areas of clinical operation, clinical science, biometrics and external CROs to monitoring the on-going studies and generating new hypotheses and insights from the completed studies using exploratory data analysis techniques and visualizations.
This role will also be expected to curate large databases from various sources of structured and unstructured data from publish data and commercially available data to support the internal development programs.
This position may have direct supervisory responsibilities for internal staff or external consultants and will report to the Head of Biometrics.
#hybridESSENTIAL DUTIES AND 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 reportsDeveloping 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.
REQUIREMENTS
Education
Master's degree or Ph.
D. in a quantitative discipline such as mathematics, statistics, biostatistics, computer science, bioinformatics, or computational biology
Experience
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. Ability to effectively collaborate with internal and external stakeholders.
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 Experience
Tracking record of successive clinical trial designs/analysis in
biotech/pharmaceutical
industry setting and hands on statistical analysis experiences
Travel
More details about the specific salary range for your location will be discussed with you during the hiring process by the StructureTx Talent Acquisition Team.
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