Senior Data Scientist - San Francisco, United States - Quantum Leap Healthcare

Description

Job Description

Job Description

Position: Senior Data Scientist

Department: Statistics and Data Management
Reports to: Director of Biometrics, Oncology

SUMMARY AND DETAILS OF POSITION

Quantum Leap Healthcare Collaborative (QLHC) is seeking an exceptional Senior Data Scientist with advanced analytical and computational skills to support multiple complex clinical trials in Oncology and COVID. The Senior Data Scientist will perform a leading role in data analytical and programming activities in these trials, which may be Phase I, II and III pharmaceutical trials and medical device trials evaluating new biomarkers and/or therapeutics. The trials also involve real world evidence generation, patient reported outcomes (PROs) and analysis of complex big data sets.

Principle Responsibilities

• Perform and coordinate complex projects that involve analytical and programming activities to ensure accurate and timely completion.
• Plan and perform data analysis, including exploratory activities or with pre-specified requirements. Provide requirements to others as needed.
• Propose strategic solutions to complex data problems and follow them through to completion.
• 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 objective.
• Independent leadership of innovative data projects. Apply advanced analytical methods to diverse sources of data and share results in varying formats, including data manipulations, data visualization, and data engineering.
• Coordinate and produce data deliverables for pharmaceutical partners as needed.
• Prepare data reports, tabulations, and graphs for presentation at meetings or conferences, and for publication in technical journals.
• Perform verification and documentation of results.
• Manage timelines for complex projects.
• Develop and maintain necessary standard operating procedures (SOPs) and work instructions to support the quality and timeliness of team deliverables.
• Remains current about new developments and standards in the field of Data Science and shares with the Statistics and Clinical Data Management team members.

Preferred Education and Experience

• Master's degree in Data Science, Mathematics, Statistics, Biostatistics, Bioinformatics, Biological Sciences, or related discipline.
• 5+ years of relevant work experience in industry or academia.
• Advanced programming and analytical skills, preferably in R and/or python.
• Advanced knowledge of theoretical and applied computational methods, preferably in clinical trials and adaptive designs.
• Experience of publications, patents, presentations, or other contributions to data science
• Experience with phase I, II and III pharmaceutical clinical trials, preferably in trials whose data was submitted as part of an investigational new drug (IND) or new drug application (NDA) to the FDA.
• Oncology experience highly preferred.
• Strong project management skills. Ability to effectively lead internal collaborations and partner with internal and external stakeholders.

Other Preferred Skills

• Strong problem-solving skills.
• Strong interpersonal and motivational skills.
• A self-starter, who excels in a fast-paced and dynamic work. Ability to take the initiative while operating effectively with peers.
• High attention to detail including proven ability to manage multiple, competing priorities. Ability to prioritize and drive results with a strong emphasis on quality.
• Excellent oral, written and presentation skills.
• Excellent understanding of the business processes, GCP standards and software used in clinical trials, outcomes research and real-world evidence generation.
• Experience in managing vendors and consultants is a plus.
• Experience in different regulatory classifications (drug, medical device, and diagnostics) is a plus.

Disclaimer: This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities, and activities may change, or new ones may be assigned at any time with or without notice.